Python Integrations

Strands Agents presents a streamlined, code-oriented framework aimed at facilitating the creation of AI agents, which capitalizes on the advanced reasoning skills of contemporary language models to ease the development process. With just a few lines of Python code, developers can swiftly construct agents by outlining a prompt and specifying a set of tools, empowering the agents to carry out intricate tasks independently. The framework is compatible with various model providers, such as Amazon Bedrock (with Claude 3.7 Sonnet as the default), Anthropic, OpenAI, among others, providing users with diverse options for model selection. An adaptable agent loop is a standout feature, managing user inputs, determining appropriate tool usage, executing those tools, and crafting responses, thereby accommodating both streaming and non-streaming interactions. Furthermore, the inclusion of built-in tools, along with the option to create custom tools, enables agents to undertake a broad spectrum of activities that extend well beyond mere text generation, enhancing their utility in various applications. This versatility positions Strands Agents as an innovative solution in the realm of AI agent development.

Promethium is an innovative platform for chemistry simulations that harnesses the power of GPUs to significantly speed up the development of drugs and materials by providing more efficient and precise quantum chemistry calculations. Specifically engineered for NVIDIA data center GPUs, such as the A100, it utilizes advanced QC Ware streaming algorithms to deliver remarkable computational speed and impressive power efficiency. This platform can perform density functional theory (DFT) calculations on molecular systems containing as many as 2,000 atoms, enabling researchers to conduct simulations of large molecular structures that traditional CPU-based ab initio methods cannot handle. For example, it can execute a single-point calculation for a protein with 2,056 atoms in just 14 hours using only one GPU. Promethium is equipped with a diverse array of functionalities, including single-point energy computations, geometry optimizations, conformer searches, torsion scans, reaction path optimizations, transition state optimizations, interaction energy evaluations, and relaxed potential energy surface explorations. Its capabilities make it a powerful tool for chemists looking to push the boundaries of molecular modeling and simulation. Ultimately, Promethium is set to transform the landscape of computational chemistry.

Nomic Embed is a comprehensive collection of open-source, high-performance embedding models tailored for a range of uses, such as multilingual text processing, multimodal content integration, and code analysis. Among its offerings, Nomic Embed Text v2 employs a Mixture-of-Experts (MoE) architecture that efficiently supports more than 100 languages with a remarkable 305 million active parameters, ensuring fast inference. Meanwhile, Nomic Embed Text v1.5 introduces flexible embedding dimensions ranging from 64 to 768 via Matryoshka Representation Learning, allowing developers to optimize for both performance and storage requirements. In the realm of multimodal applications, Nomic Embed Vision v1.5 works in conjunction with its text counterparts to create a cohesive latent space for both text and image data, enhancing the capability for seamless multimodal searches. Furthermore, Nomic Embed Code excels in embedding performance across various programming languages, making it an invaluable tool for developers. This versatile suite of models not only streamlines workflows but also empowers developers to tackle a diverse array of challenges in innovative ways.

RankLLM is a comprehensive Python toolkit designed to enhance reproducibility in information retrieval research, particularly focusing on listwise reranking techniques. This toolkit provides an extensive array of rerankers, including pointwise models such as MonoT5, pairwise models like DuoT5, and listwise models that work seamlessly with platforms like vLLM, SGLang, or TensorRT-LLM. Furthermore, it features specialized variants like RankGPT and RankGemini, which are proprietary listwise rerankers tailored for enhanced performance. The toolkit comprises essential modules for retrieval, reranking, evaluation, and response analysis, thereby enabling streamlined end-to-end workflows. RankLLM's integration with Pyserini allows for efficient retrieval processes and ensures integrated evaluation for complex multi-stage pipelines. Additionally, it offers a dedicated module for in-depth analysis of input prompts and LLM responses, which mitigates reliability issues associated with LLM APIs and the unpredictable nature of Mixture-of-Experts (MoE) models. Supporting a variety of backends, including SGLang and TensorRT-LLM, it ensures compatibility with an extensive range of LLMs, making it a versatile choice for researchers in the field. This flexibility allows researchers to experiment with different model configurations and methodologies, ultimately advancing the capabilities of information retrieval systems.

RankGPT is a Python toolkit specifically crafted to delve into the application of generative Large Language Models (LLMs), such as ChatGPT and GPT-4, for the purpose of relevance ranking within Information Retrieval (IR). It presents innovative techniques, including instructional permutation generation and a sliding window strategy, which help LLMs to efficiently rerank documents. Supporting a diverse array of LLMs—including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 through LiteLLM—RankGPT offers comprehensive modules for retrieval, reranking, evaluation, and response analysis, thereby streamlining end-to-end processes. Additionally, the toolkit features a module dedicated to the in-depth analysis of input prompts and LLM outputs, effectively tackling reliability issues associated with LLM APIs and the non-deterministic nature of Mixture-of-Experts (MoE) models. Furthermore, it is designed to work with multiple backends, such as SGLang and TensorRT-LLM, making it compatible with a broad spectrum of LLMs. Among its resources, RankGPT's Model Zoo showcases various models, including LiT5 and MonoT5, which are conveniently hosted on Hugging Face, allowing users to easily access and implement them in their projects. Overall, RankGPT serves as a versatile and powerful toolkit for researchers and developers aiming to enhance the effectiveness of information retrieval systems through advanced LLM techniques.

Codespy AI Detector offers a comprehensive solution to detect AI-generated source code across multiple widely-used programming languages, including Python, Java, C#, and JavaScript. This tool pinpoints code written by advanced AI systems such as ChatGPT and Claude, which may inadvertently introduce vulnerabilities or bugs in software. By highlighting these AI-originated segments, Codespy empowers development teams to review and correct potential issues before deployment. The detector integrates with popular tools like Visual Studio Code and even functions as a plugin for ChatGPT, streamlining the identification process. Companies can use Codespy to establish safe AI coding standards and manage innovation without sacrificing security. Its pricing is flexible, ranging from a free tier with limited scans to plans suited for small businesses and enterprises. Users worldwide rely on Codespy for its high accuracy and user-friendly interface. No credit card is needed to start using the free version, making it easy for teams to begin improving their AI code oversight immediately.

NiceGUI is an open-source library designed for Python that empowers developers to craft web-based graphical user interfaces (GUIs) using solely Python code. It boasts an approachable learning curve and simultaneously allows for sophisticated customizations. Adopting a backend-first approach, NiceGUI takes care of all web development intricacies, enabling developers to concentrate on their Python code. This framework is well-suited for diverse applications, from simple scripts and dashboards to robotics, IoT systems, smart home automation, and machine learning initiatives. It is constructed on FastAPI for backend functions, utilizes Vue.js for frontend interactions, and incorporates Tailwind CSS for styling aesthetics. With NiceGUI, developers can effortlessly create various elements, including buttons, dialogs, Markdown content, 3D visualizations, plots, and much more—all within a Python-centric environment. Furthermore, it facilitates real-time interactivity via WebSocket connections, allowing for immediate updates in the browser without needing to refresh the page. Additionally, NiceGUI provides a plethora of components and layout configurations, like rows and columns, ensuring versatile design possibilities for users.

Reflex is an innovative open-source framework designed for Python developers, enabling the creation of comprehensive web applications solely using pure Python, thereby removing the necessity for JavaScript or intricate frontend frameworks. With Reflex, developers can seamlessly write, test, and enhance their applications exclusively in Python, providing a rapid, adaptable, and scalable development experience. The framework boasts an AI Builder that enables users to articulate their app concepts, instantly generating a fully functional Python application that encompasses backend, frontend, and database integration. Reflex’s architecture simplifies the frontend into a single-page Next.js application while utilizing FastAPI for the backend, with real-time communication facilitated through WebSockets. This design guarantees that all crucial app logic and state management are retained in Python and executed on the server side. Furthermore, Reflex includes over 60 pre-built components based on Radix UI and allows for the integration of custom React components, empowering developers to craft intricate user interfaces without the need to write HTML or CSS. Ultimately, this framework revolutionizes the way web applications are developed by providing a unified programming language throughout the entire stack.

Rio is an innovative open-source framework built in Python that allows developers to create both modern web and desktop applications solely using the Python programming language. Drawing inspiration from popular frameworks such as React and Flutter, Rio offers a declarative user interface model where components are represented as Python data classes equipped with a build() method, which supports reactive state management for smooth UI updates. The framework boasts over 50 pre-built components that conform to Google's Material Design principles, making it easier to design professional-quality user interfaces. With a layout system that is both Pythonic and user-friendly, Rio calculates the natural size of each component before allocating space, removing the necessity for conventional CSS styles. Furthermore, developers have the flexibility to run their applications either locally or directly in the browser, with FastAPI serving as the backend and communication facilitated through WebSockets. This seamless integration enhances the development experience, enabling a more efficient workflow for creating dynamic applications.

Piper is a rapidly operating, localized neural text-to-speech (TTS) system that is particularly optimized for devices like the Raspberry Pi 4, aiming to provide top-notch speech synthesis capabilities without the dependence on cloud infrastructure. It employs neural network models developed with VITS and subsequently exported to ONNX Runtime, which facilitates both efficient and natural-sounding speech production. Supporting a diverse array of languages, Piper includes English (both US and UK dialects), Spanish (from Spain and Mexico), French, German, and many others, with downloadable voice options available. Users have the flexibility to operate Piper through command-line interfaces or integrate it seamlessly into Python applications via the piper-tts package. The system boasts features such as real-time audio streaming, JSON input for batch processing, and compatibility with multi-speaker models, enhancing its versatility. Additionally, Piper makes use of espeak-ng for phoneme generation, transforming text into phonemes before generating speech. It has found applications in various projects, including Home Assistant, Rhasspy 3, and NVDA, among others, illustrating its adaptability across different platforms and use cases. With its emphasis on local processing, Piper appeals to users looking for privacy and efficiency in their speech synthesis solutions.

Klavis AI delivers open source infrastructure designed to streamline the utilization, development, and expansion of Model Context Protocols (MCPs) for artificial intelligence applications. With MCPs, tools can be integrated dynamically at runtime in a uniform manner, which removes the requirement for preconfigured setups during the design phase. Klavis AI supplies secure and hosted MCP servers, which alleviates the burden of authentication management and client-side code. This platform facilitates integration with a diverse range of tools and MCP servers, ensuring flexibility and adaptability. Klavis AI's MCP servers are not only stable and trustworthy but are also hosted on dedicated cloud infrastructure, with support for OAuth and user-based authentication to ensure secure access and effective management of user resources. Furthermore, the platform features MCP clients available on Slack, Discord, and web interfaces, allowing users to access MCPs directly from these popular communication platforms. In addition, Klavis AI offers a standardized RESTful API for seamless interaction with MCP servers, empowering developers to incorporate MCP capabilities into their applications with ease. This comprehensive approach ensures that developers have the tools they need to efficiently harness the power of MCPs in their AI projects.

LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.

Skillsync evaluates code contributions to uncover the thought processes and working habits of engineers, while also mapping out the areas of expertise and collaboration styles within your team. By identifying successful patterns and replicating them throughout your organization, it enhances overall productivity. This tool inspects your codebase to pinpoint domain specialists, unearth specialized skills, and document effective strategies—all without the need for surveys. By offering timely insights, it aids in amplifying effective practices across your team. Skillsync delves into your genuine work, analyzing pull requests, reviews, and comments to construct a dynamic skill graph that reveals not only what contributors accomplish, but also their thought processes, collaboration methods, and contributions. Through Skillsync, you can uncover hidden talents within your codebase, match the right experts to specific challenges, expand exceptional skills with consistent playbooks, and even create custom agents leveraging authentic team intelligence. The platform ultimately transforms how teams operate by fostering a deeper understanding of individual and collective strengths.

ScreenshotAPI is a sophisticated and versatile tool that enables users to effortlessly capture screenshots of websites through programming, providing options in various formats like JPEG, PNG, WebP, or PDF to meet diverse needs. This API is designed to be user-friendly and highly customizable, offering features such as the ability to capture full-page images or specific file types, incorporate custom CSS, and utilize geolocation. Moreover, it boasts the functionality to take screenshots across multiple scrolling dimensions and extract HTML or text from web pages. Users can benefit from the interactive playground, which allows for immediate full-page or tailored screenshots of any site, along with powerful features including scrolling captures, bulk processing, and the injection of custom CSS and JavaScript. Overall, ScreenshotAPI empowers developers with a comprehensive suite of tools for web image management and automation.

Summit serves as a low-code platform designed for the development of small programs, known as models, which can be seamlessly integrated into popular workflow builders. This platform empowers users to leverage AI and manage unstructured data that flows through their automation processes. Summit's low-code toolkit is specifically crafted for the era of large language models; it enhances prompts by incorporating real-time, pertinent context through its search functionality, and yields structured outputs such as JSON that conform to specific schemas. With a well-defined pathway for users to achieve proficiency, it features a compact yet flexible array of building blocks, allowing you to invest less time in documentation and more time in addressing challenges. Additionally, Summit accommodates loops to iterate over lists, retrieves paginated API data, and adheres to rate limitations effectively. Each model possesses its own API, facilitating integration with no-code platforms like Zapier, HubSpot, Make, Clay, or any programming stack including Python, PHP, Ruby, and JavaScript. Furthermore, it encourages both reusability and composability, permitting models to invoke other models, thereby enabling the creation of solutions that can be applied in various contexts. This interconnectedness fosters a more efficient development process and enhances overall productivity in automation tasks.

Kodosumi is a versatile, open-source runtime environment that operates independently of any framework, built on Ray to facilitate the deployment, management, and scaling of agentic services in enterprise settings. With just a single YAML configuration, it allows for the seamless deployment of AI agents, minimizing setup complexity and avoiding vendor lock-in. It is specifically crafted to manage both sudden spikes in traffic and ongoing workflows, dynamically adjusting across Ray clusters to maintain reliable performance. Furthermore, Kodosumi incorporates real-time logging and monitoring capabilities via the Ray dashboard, enabling immediate visibility and efficient troubleshooting of intricate processes. Its fundamental components consist of autonomous agents that perform tasks, orchestrated workflows, and deployable agentic services, all efficiently overseen through a user-friendly web admin interface. This makes Kodosumi an ideal solution for organizations looking to streamline their AI operations while ensuring scalability and reliability.

finlight.me is an innovative news API designed specifically for developers, offering access to both real-time and historical financial, geopolitical, and market-related news from a diverse array of reliable sources in a clear JSON format. It features sophisticated querying capabilities, which include keyword searches utilizing boolean operators, filtering by date and time, options for including or excluding specific sources, language preferences, sorting functionalities, and pagination, all of which facilitate precise targeting of information. The API provides both REST and WebSocket endpoints, with the WebSocket option allowing for the streaming of newly published articles that align with live queries, enhanced by sentiment analysis labels and confidence metrics. Additionally, the extended article endpoints offer comprehensive content and summaries based on the user's subscription level. With finlight's AI-driven sentiment tagging and insights into market impact, developers gain valuable, actionable context, while the WebSocket streaming support promotes real-time notifications and in-depth analytics for more informed decision-making in dynamic environments. This makes finlight a crucial tool for developers seeking to stay ahead in the financial landscape.

Solar is an agile and innovative platform powered by AI that allows users to effortlessly create tailored AI agents, automate workflows, and develop comprehensive applications, encompassing everything from Python backends and databases to contemporary front-end designs and user authentication, all within seconds through an intuitive visual editor and collaborative workspace. This platform merges the advantages of traditional coding with the simplicity of no-code solutions, featuring integrations for various functionalities such as email, web scraping, LLM interactions, data tables, file storage, and conditional logic, all of which can be deployed with just a single click. Additionally, Solar offers a suite of robust enterprise capabilities including role-based access controls, safety protocols, and customizable cloud options, making sure that deployments are both secure and scalable. With engineering talent hailing from prestigious companies like Y Combinator, Palantir, and Jane Street, Solar is designed to serve a wide range of users, from individual developers to larger collaborative teams, providing an appealing free tier that includes 500 credits and the ability to manage up to five projects, while paid subscriptions grant access to enhanced integrations, increased usage credits, collaborative tools, and enterprise-level security features. The platform is dedicated to continuously evolving and meeting the diverse needs of its users, ensuring they can leverage AI technology effectively and efficiently.

GitAuto is an AI-driven coding assistant that seamlessly connects with GitHub (and optionally Jira) to assess backlog tickets or issues, evaluate your repository's structure and code, and autonomously create and review pull requests, usually completing this process in around three minutes per ticket. It is capable of managing bug fixes, implementing feature requests, and enhancing test coverage. You can activate it through specific issue labels or selections on a dashboard, allowing it to write code or unit tests, initiate a pull request, execute GitHub Actions, and continuously rectify any failing tests until they succeed. Supporting ten programming languages, such as Python, Go, Rust, and Java, GitAuto is free for basic use, with paid plans available for those requiring a greater volume of pull requests and additional enterprise functionalities. Adhering to a strict zero data-retention policy, it processes your code through OpenAI without retaining it. Built to speed up delivery by allowing teams to address technical debt and backlogs without the need for extensive engineering resources, GitAuto functions as an AI backend engineer that drafts, tests, and refines code, thereby significantly enhancing development efficiency. This innovative tool not only streamlines workflows but also empowers teams to focus on more strategic tasks.

ScraperX is an innovative API powered by AI, designed to streamline and expedite the process of data extraction from any website. It boasts seamless integration capabilities with a variety of programming languages, such as Node.js, Python, Java, Go, C#, Perl, PHP, and Visual Basic. The platform utilizes intelligent data extraction techniques that automatically detect and gather relevant data patterns from diverse website formats, thereby removing the necessity for manual setup. Users simply need to make API requests detailing the target website and the specific data they wish to extract, and ScraperX efficiently processes and analyzes the incoming data. Additionally, it incorporates real-time monitoring features that enable users to oversee data collection and receive immediate notifications regarding any alterations or updates. To further enhance user experience, ScraperX adeptly manages CAPTCHA challenges while providing proxies and rotating IP addresses to guarantee uninterrupted data extraction. Its design is based on a scalable infrastructure, which accommodates varying request rates to meet the diverse requirements of its users. Overall, ScraperX stands out as a powerful tool for businesses and developers seeking efficient solutions for data scraping.

Serpstack is an API that delivers real-time data from Google Search Engine Results Pages (SERPs) in structured formats like JSON and CSV, catering to developers' needs. It encompasses a diverse array of search result categories, such as organic listings, paid advertisements, images, videos, news, shopping results, and local listings, among others. The API is flexible and allows users to tailor their search queries with parameters including location, device type, language, and user agent, thus ensuring targeted data retrieval. To guarantee dependable data collection, Serpstack utilizes a strong proxy network along with advanced CAPTCHA-solving technologies, eliminating the necessity for manual efforts. Designed for high scalability, it efficiently manages large volumes of requests without queuing, making it ideal for both small businesses and larger enterprises. Additionally, developers benefit from extensive documentation and sample code, streamlining the integration process across various programming languages. This combination of features positions Serpstack as a valuable tool for anyone needing access to comprehensive search data.

DebuggAI is an innovative platform that harnesses artificial intelligence to simplify the debugging process, enabling developers to swiftly identify and fix coding problems through smart automation. With features like text-based test requests, secure local tunneling for localhost server testing, and visual reports that include GIF recordings, it significantly enhances the debugging experience. This versatile platform accommodates a variety of technologies such as Node.js, Next.js, React, TypeScript, JavaScript, Python, Django, and Vite, catering to diverse development environments. By allowing developers to create and execute tests with straightforward English commands, DebuggAI seeks to alleviate the challenges of end-to-end testing, ultimately boosting both efficiency and confidence in the software development lifecycle. Furthermore, its user-friendly interface and intuitive features empower developers to focus more on coding rather than troubleshooting, fostering a more productive work environment.

BaseRock.ai is an innovative platform specializing in AI-enhanced software quality that streamlines both unit and integration testing, allowing developers to create and run tests straight from their favorite IDEs. Utilizing cutting-edge machine learning algorithms, it assesses codebases to produce detailed test cases that guarantee thorough code coverage and enhanced quality. By integrating effortlessly with CI/CD workflows, BaseRock.ai aids in the early identification of bugs, which can lead to a reduction in QA expenditures by as much as 80% while also increasing developer efficiency by 40%. The platform boasts features such as automated test creation, instant feedback, and compatibility with a variety of programming languages, including Java, JavaScript, TypeScript, Kotlin, Python, and Go. Additionally, BaseRock.ai provides a range of pricing options, including a complimentary tier, to suit diverse development requirements. Many top-tier companies rely on BaseRock.ai to improve software quality and speed up the delivery of new features, making it a valuable asset in the tech industry. Its commitment to continuous improvement ensures that it remains at the forefront of software testing solutions.

CodeFriends is a dynamic online platform designed for coding and AI education, enabling users to quickly and effectively learn programming through a hands-on approach. It incorporates a real-time code editor, an AI tutor, and live statistics, allowing learners to dive into practical exercises without the need for software installation. The platform offers expertly crafted courses that encompass Python, web development (including HTML, CSS, and JavaScript), foundational AI concepts, prompt engineering, and automation tools, with each course containing hundreds of lessons and interactive exercises. Users can engage in practical projects that allow them to create websites or automation solutions with a single click, instantly sharing live links. Additionally, the platform boasts advanced features such as AI-assisted code generation, detailed step-by-step tutorials, comprehensive digital textbooks, project version control with rollback options, effortless hosting, and downloadable code for personal portfolios. Educational institutions benefit from tailored curricula, adaptable online training options, and an administrative dashboard equipped with AI analytics to monitor student progress effectively. This makes CodeFriends not only a learning tool but also a comprehensive educational resource for both individuals and institutions.

OpenMemory is a Chrome extension that introduces a universal memory layer for AI tools accessed through browsers, enabling the capture of context from your engagements with platforms like ChatGPT, Claude, and Perplexity, ensuring that every AI resumes from the last point of interaction. It automatically retrieves your preferences, project setups, progress notes, and tailored instructions across various sessions and platforms, enhancing prompts with contextually rich snippets for more personalized and relevant replies. With a single click, you can sync from ChatGPT to retain existing memories and make them accessible across all devices, while detailed controls allow you to view, modify, or disable memories for particular tools or sessions as needed. This extension is crafted to be lightweight and secure, promoting effortless synchronization across devices, and it integrates smoothly with major AI chat interfaces through an intuitive toolbar. Additionally, it provides workflow templates that cater to diverse use cases, such as conducting code reviews, taking research notes, and facilitating creative brainstorming sessions, ultimately streamlining your interaction with AI tools.

LLM Gateway is a completely open-source, unified API gateway designed to efficiently route, manage, and analyze requests directed to various large language model providers such as OpenAI, Anthropic, and Google Vertex AI, all through a single, OpenAI-compatible endpoint. It supports multiple providers, facilitating effortless migration and integration, while its dynamic model orchestration directs each request to the most suitable engine, providing a streamlined experience. Additionally, it includes robust usage analytics that allow users to monitor requests, token usage, response times, and costs in real-time, ensuring transparency and control. The platform features built-in performance monitoring tools that facilitate the comparison of models based on accuracy and cost-effectiveness, while secure key management consolidates API credentials under a role-based access framework. Users have the flexibility to deploy LLM Gateway on their own infrastructure under the MIT license or utilize the hosted service as a progressive web app, with easy integration that requires only a change to the API base URL, ensuring that existing code in any programming language or framework, such as cURL, Python, TypeScript, or Go, remains functional without any alterations. Overall, LLM Gateway empowers developers with a versatile and efficient tool for leveraging various AI models while maintaining control over their usage and expenses.

Elevate the quality of your software applications without compromising on speed or flexibility by utilizing an intuitive GUI test automation solution. Our advanced AI-driven object recognition technology, combined with both script-based and scriptless options, provides an unparalleled experience for testing desktop, web, and mobile applications seamlessly. TestComplete features a smart object repository and accommodates over 500 controls, ensuring that your GUI tests remain scalable, resilient, and easy to update. By enhancing automation in quality assurance, you can achieve a higher standard of overall quality. You can also automate UI testing for a diverse array of desktop applications, such as .Net, Java, WPF, and Windows 10. Develop reusable tests applicable to all web applications, including contemporary JavaScript frameworks like React and Angular, across more than 2050 browser and platform configurations. Additionally, you can create and automate functional UI tests on both physical and virtual iOS and Android devices, all without the need to jailbreak your phone, making the process even more user-friendly. This comprehensive approach guarantees that your applications are not only tested thoroughly but also maintained effectively as they evolve.

Maximize your efficiency on the Force.com platform by utilizing an IDE that allows you to operate in either Development or Admin modes, incorporating SFDX, Lightning, FLS, and an array of cutting-edge Salesforce technologies. Say goodbye to the cumbersome workflows associated with pre-DX, and embrace the advantages of version control, continuous delivery, and continuous integration. You can easily manage scratch and traditional orgs, tackle new project types, and still leverage nearly all the functionalities of The Welkin Suite IDE! Save significant amounts of time by creating new features and applications without the need for extensive coding! By taking advantage of the Point-and-Click development options available in The Welkin Suite IDE, you can efficiently build and maintain your business solutions with minimal effort. Create stunning Lightning applications and components right within the IDE, enabling you to craft dynamic web applications without requiring any additional software. With a comprehensive suite of tools at your disposal, developing Lightning Applications and Components has never been easier or more accessible, allowing you to focus on innovation rather than technical hurdles. The IDE truly transforms the development experience, empowering users to achieve remarkable results effortlessly.

COMPREHENSIVE VIRTUAL REality SOFTWARE FOR RESEARCHERS You can build once and deploy everywhere. The universal VR hardware connectivity of Vizard virtual reality software supports a variety of VR headsets, projections, 3D displays and motion trackers. Real-time data capture and output, based on research needs. 3D model workflows available in 3DS Max, Maya and Revit, Sketchfab and Substance Painter. Make use of Python, the most popular and accessible scripting language in the world. Includes robust open-source community libraries as well as toolkits for researchers. Vizard virtual reality software allows you to achieve versatile rendering, including multi-user, clustering and multi-channel capabilities, Projection VR.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.codacy.com%2F

Powerful Continuous Integration right out of the box You can define up to 100 job-based build configurations and run unlimited builds. You can run up to three builds simultaneously. If necessary, add additional agents. All TeamCity features can be used to their full potential. This product has the same features as our largest customers. You can get peer support via the forum or file a bug report or feature request and vote in our public issue tracker. Unlimited users, unlimited build times. There are no strings attached. You can run automated tests on the server before you commit your changes. This keeps your code base clean. You don't have to wait for a build finish to find out if something is wrong. To inherit parent settings and permissions, create a project tree. You can create templates with common settings to inherit multiple build configurations.

Arachnophilia serves as both a workshop for web page creation and a versatile tool for programming. It is developed using the Java programming language.

We're Zyte, formerly Scrapinghub! We are the market leader in web data extraction technology. Data is our obsession. What it can do to help businesses. We assist thousands of developers and companies to access accurate, clean data. We can deliver data quickly, reliably, and at scale. Every day, for more that a decade. Our customers can rely on us for reliable data from more than 13 billion web pages every month, including price intelligence, news, media, job listings, entertainment trends, brand monitoring, brand monitoring, and many other services. We were the pioneers in open-source projects like Scrapy, products such as our Smart Proxy Manager (formerly Crawlera), or our end-to-end data extract services. Our remote team of almost 200 developers and extract experts set out to remove data barriers and change the game.

Speed up your development timeline and gain a competitive edge in the cognitive technology landscape. Maximize the capabilities of every developer with state-of-the-art tools. Establishing a robust tech stack is essential for success. With Meya, your cognitive applications operate within a contemporary computing framework that is efficient, secure, compliant, and simple to manage. Our dedicated team is consistently enhancing our platform to leverage the latest advancements in AI research. Concentrate on delivering an exceptional user experience while we manage your cognitive app’s hosting, integrations, and additional services. Develop, host, and train your cognitive solutions seamlessly in a single environment. Effortlessly scale your bot and utilize the leading messaging and customer support systems. Tackle complex scenarios by linking to your business's backend systems. By prioritizing the user experience, you can trust us to handle everything else and facilitate your journey towards innovation. The future of technology is here, and with Meya, you can be at the forefront of it all.

Red Hat AMQ serves as a versatile messaging platform that ensures reliable information delivery, fostering real-time integration and enabling connectivity for the Internet of Things (IoT). Built on the foundations of open source projects such as Apache ActiveMQ and Apache Kafka, it accommodates a range of messaging patterns, allowing for the swift and effective integration of applications, endpoints, and devices, which ultimately boosts enterprise agility and responsiveness. With the ability to facilitate high-throughput and low-latency data sharing among microservices and other applications, AMQ significantly enhances operational efficiency. Furthermore, it offers connectivity options for client programs developed in various programming languages, ensuring broad compatibility. The platform also establishes an open-wire protocol for messaging interoperability, which permits businesses to implement diverse distributed messaging solutions tailored to their changing needs. Supported by the award-winning services of Red Hat, AMQ is recognized for its ability to underpin mission-critical applications, reinforcing its value in enterprise environments. Additionally, its adaptability makes it an ideal choice for organizations aiming to stay ahead in a rapidly evolving digital landscape.

SendSafely is a comprehensive end-to-end encryption solution tailored for contemporary businesses. It allows for the effortless sharing of encrypted files and sensitive information across any device, simplifying secure file exchanges. With a focus on security, it is trusted by prominent brands that prioritize the safeguarding of customer data. The platform is compatible with all major web browsers, requiring no software installation or management of encryption keys. Designed to aid in compliance with essential regulations such as HIPAA, GDPR, and CCPA, SendSafely offers a Business Associate Agreement (BAA) for added assurance. Users can choose from various pre-built integrations or create custom solutions using the developer API. The platform includes business-specific features like user management, single sign-on, and options for custom branding. Furthermore, SendSafely connects seamlessly with numerous popular third-party systems, enhancing them with end-to-end encryption. This capability allows businesses to incorporate encryption into their existing workflows, thus extending the functionality of their current applications and infrastructure. In today’s digital landscape, ensuring the security of data exchange is not just a necessity, but a vital component of maintaining trust with clients.

Examine both the previous and current iterations of files while utilizing syntax highlighting to identify color-coded discrepancies. Engage in discussions about particular segments with colleagues to ensure appropriate modifications are made. Gerrit offers Git-enabled SSH and HTTPS servers that work seamlessly with a variety of Git clients. It streamlines the administration process by allowing the hosting of multiple Git repositories in a single location. Additionally, it allows for the scheduling of git garbage collection across all managed repositories and supports replication to geographically distributed mirrors, thus enhancing speed and providing backup servers for redundancy during hot spare situations. Furthermore, the Gerrit Code Review platform is adaptable and can be expanded through the installation of server-side plugins, and developers can explore the source code for these additional plugins through the project's listings. This flexibility makes Gerrit a powerful tool for collaborative software development and version control management.

The Fastest Code Analysis. 40X faster scan speeds so developers don't have to wait long for results after submitting a pull request. The Most Accurate Result. Qwiet AI is the only AI with the highest OWASP benchmark score. This is more than triple the commercial average, and more than twice the second highest score. Developer-Centric Security Processes. 96% of developers say that disconnected security and developer workflows hinder their productivity. Implementing developer-centric AppSec workflows decreases mean-time-to-remediation (MTTR), typically by 5X - enhancing both security and developer productivity. Automated Business Logic Flaws in Dev. Identify vulnerabilities unique to your codebase before they reach production. Achieve compliance. Maintain and demonstrate compliance with privacy and security regulations such as SOC 2 PCI-DSS GDPR and CCPA.

Supports more than 20 programming languages such as Java, JSP, C/C++, C#, Python, Swift, ASP(.NET), ABAP, and Objective C, among others. Adheres to international security compliance standards and guidelines. Conducts analysis of MVC structures, file associations, and function call relationships at various levels. Implements incremental analysis to reduce analysis time by focusing only on newly added or modified files and their related components. Collaborates with other Sparrow AST solutions like DAST and RASP to uncover correlations between vulnerabilities, enhancing the accuracy of search results. Provides an issue navigator for tracking and monitoring vulnerabilities from their source to the actual code implementation. Offers automated guidance for correcting real source code issues and categorizing vulnerabilities efficiently. Features a dashboard for managing analysis results and statistical data. Centralizes rule management (Checker) utilizing information related to risk levels, options, and additional parameters, ensuring a comprehensive approach to security. Additionally, it enables users to maintain a historical record of vulnerabilities, facilitating better understanding and remediation over time.

Modern development teams are empowered to identify, fix, and prevent vulnerabilities in source code, open-source libraries, secret management, cloud configuration, and other areas. Modern development teams are empowered to identify, fix, and prevent security flaws in their applications. Continuous security scanning speeds up feature shipping and reduces cycle time. Our expert system reduces false alarms and only informs you about security issues that are relevant. Software that is consistently scanned across all product lines will be more secure. GuardRails integrates seamlessly with modern Version Control Systems such as GitLab and Github. GuardRails automatically selects the appropriate security engines to run based upon the languages found in a repository. Each rule is carefully curated to determine whether it has a high level security impact issue. This results in less noise. A system has been developed that detects false positives and is constantly improved to make it more accurate.

Blueshift is a free platform that provides institutional class infrastructure for investment research and backtesting. It can also be used to facilitate algorithmic trading. The alpha version has been launched - a fast backtesting platform that provides detailed data on multiple asset classes and markets. We are working hard to bring you more features, including live trading, very soon. Register today to get ready for the future in trading and investing. Use existing python trading templates. Backtesting over 10 years+ data on equities (india and the US markets) as well as forex. Automate trades on live markets. Our cloud-based back testing engine offers you significant advantages over a desktop application for quick research. You can now set up, manage, and ingest data without worrying. Your investment strategy can be developed in the python programming environment. Analyze back-test results to fine-tune your investment strategy. All this for free.

Eclipse Theia allows you to create multi-language Cloud & Desktop IDEs using state-of-the art web technologies. Are you unsure whether you need a desktop or web version? Theia allows you to create one IDE and have it run in browsers or native desktop applications from a single source. The Eclipse Foundation hosts the Theia project. It is a non-profit corporation and is developed by a diverse group. Projects hosted at an Open-Source Foundation, unlike other open-source projects, are protected from single-vendor decisions that would be detrimental to the interests of the diverse community. Theia is modularly designed to allow users and extenders to customize and extend every aspect of the system. It is easy to create a custom IDE-like product by simply listing all required extensions in a package.json. It is simple to add new functionality by implementing your extensions. This gives you all the flexibility that you need.

Your dev environments can be described as code to automate the last piece of your DevOps process. You can create new, task-based environments for every issue, branch, merge/pull request. GitOps is the new way to achieve a higher level of productivity. All application code, configuration, and infrastructure should be stored in machine-executable code in your Git repositories. This code can then be applied to dev environments continuously and automatically. Prebuilds were created to solve this problem. Gitpod doesn't require a powerful laptop to code. It works on a Chromebook and iPad. You only need a browser. Gitpod centralizes all source codes and never stores them on insecure machines or networks. Gitpod is a Kubernetes multi-service Kubernetes app that we developed in Gitpod. You can code, build, debug, and run K8s apps entirely in the cloud. Fully-baked workspaces are available for every branch or pull/merge request. They are pre-configured and connected to their own K8s deployment.

Typora offers a fluid experience for users, serving effectively as both a writing and reading tool. It eliminates the need for a preview window, mode switcher, or any markdown syntax symbols, thereby cutting out unnecessary distractions. Instead, it features a live preview option that allows you to focus solely on your content. The software also facilitates file management with an easily accessible file tree panel and an article list panel, enabling you to organize your files according to your preferences, including integration with sync services such as Dropbox or iCloud. You can effortlessly view the outline structure of your documents in the outline panel, making navigation throughout the document quick and intuitive, as you can jump to any section with just one click. Additionally, Typora allows you to export your work to PDF complete with bookmarks. You can further enhance your productivity by importing and exporting various other formats, such as docx, OpenOffice, LaTeX, MediaWiki, and Epub. To top it off, you can track your document’s length in terms of words, characters, lines, or estimated reading time, providing you with valuable insights into your writing. This comprehensive functionality makes Typora a powerful tool for anyone involved in writing or content creation.

Create stunning, contemporary web applications with remarkable speed and ease. Simply articulate your needs, and Replit's AI Agent will construct it for you. Introducing Replit Agent, a sophisticated AI designed to make coding easy for everyone. Develop at lightning speed and have your project ready for launch in mere minutes. Just provide a description of the application or website you wish to create, and Replit AI will assist you in refining your ideas for optimal outcomes. Replit Agent will devise a strategy to turn your vision into reality. Begin with a basic prototype and gradually incorporate additional features by issuing straightforward prompts. Enhance your project through a user-friendly chat interface, where the agent will solicit your feedback after each phase of the development plan, ensuring your requests are seamlessly integrated into subsequent tasks. You can deploy your application or website to a live URL in just a few minutes. With support from Google Cloud, Replit Deployments empower you to launch your startup, streamline your work processes, expand your audience, and accomplish more — all at an unprecedented pace. Plus, with continuous updates and improvements, your projects can evolve alongside your ambitions.

Intel® Tiber™ AI Studio serves as an all-encompassing machine learning operating system designed to streamline and unify the development of artificial intelligence. This robust platform accommodates a diverse array of AI workloads and features a hybrid multi-cloud infrastructure that enhances the speed of ML pipeline creation, model training, and deployment processes. By incorporating native Kubernetes orchestration and a meta-scheduler, Tiber™ AI Studio delivers unparalleled flexibility for managing both on-premises and cloud resources. Furthermore, its scalable MLOps framework empowers data scientists to seamlessly experiment, collaborate, and automate their machine learning workflows, all while promoting efficient and cost-effective resource utilization. This innovative approach not only boosts productivity but also fosters a collaborative environment for teams working on AI projects.

Who wouldn't want to write code at the speed of their thoughts while their integrated development environment (IDE) handles all the tedious tasks? But is such a feat achievable with a complex programming language like C++, especially considering its modern features and intricate templated libraries? The answer is a resounding yes! Witness it for yourself. Instantly create vast amounts of boilerplate code, easily override and implement functions with just a few keystrokes. You can swiftly generate constructors, destructors, getters, setters, and various operators like equality, relational, and stream output. Effortlessly wrap code blocks in statements or generate declarations from their usage. With the ability to craft custom live templates, you can efficiently reuse standard code snippets throughout your projects, saving time and ensuring a cohesive coding style. Additionally, you can rename symbols, inline functions, variables, or macros, reorganize members within the hierarchy, modify function signatures, and extract functions, variables, parameters, or typedefs with ease. With these capabilities at your fingertips, coding becomes not only faster but also significantly more enjoyable.

Pytest is an invaluable tool for enhancing your programming skills, as it simplifies the creation of both basic tests and complicated functional tests for various applications and libraries. The framework’s ability to provide detailed assertion introspection means you can rely solely on standard assert statements for all your testing needs. It offers thorough information regarding failed assertions, automatically identifies test modules and functions, and features modular fixtures that help manage both small and parameterized long-lived test resources effectively. Additionally, pytest can seamlessly execute unittest (including trial) and nose test suites, and it is compatible with Python versions 3.6 and above, as well as PyPy 3. Its rich plugin architecture boasts over 315 external plugins and is backed by a vibrant community of users. Furthermore, the maintainers of pytest, along with thousands of other packages, have partnered with Tidelift to provide commercial support and maintenance for the open-source dependencies integral to your projects. By leveraging pytest, you can save valuable time, minimize risks, and enhance the overall health of your codebase, all while ensuring that the developers of the specific dependencies you rely on are compensated for their work. This commitment to community and support truly sets pytest apart as a leader in the testing framework landscape.

Visplore makes the analysis of large, dirty time series data intuitive and extremely efficient. For process experts, R&D engineers, quality managers, industry consultants, and everyone who has spent a lot of time on the tedious preparation of complex measurement data. Knowing your data is the fundament of unlocking its value. Visplore offers ready-to-use tools to understand correlations, patterns, trends and much more, faster than ever. Cleansing and annotating make the difference between valuable and useless data. In Visplore, you deal with dirty data like outliers, anomalies and process changes as easily as using a drawing program. Integrations with Python, R, Matlab and many other sources makes workflow integration straightforward. And all of that at a performance that is still fun even with millions of data records, and allows for unexpectedly creative analyses.

Visual Studio IntelliCode enhances the development experience through AI-driven assistance. By prioritizing suggestions that you are most likely to need, IntelliCode helps streamline your workflow significantly. Its recommendations are informed by a wealth of information derived from numerous open-source projects on GitHub, each boasting over 100 stars. When used alongside the context of your existing code, the completion suggestions are customized to align with established coding practices. Beyond just completing statements, IntelliCode also offers signature assistance, suggesting the most relevant overload options based on the current context. Not only does IntelliCode provide personalized recommendations for your code, but it also facilitates sharing these insights across your team effortlessly. Thanks to this preview feature, you can create a team model that offers tailored suggestions for code outside the open-source realm, including methods from your custom utility classes or specialized libraries. Furthermore, by integrating our build task into your development pipeline, you can ensure that team completions remain current with any changes in the repository, fostering a more collaborative coding environment. This powerful tool ultimately empowers developers to work more efficiently and effectively within their teams.