Python Integrations

The YAG Suite is a French-made innovative tool that takes SAST to the next level. YAGAAN is a combination of static analysis and machine-learning. It offers customers more than a sourcecode scanner. It also offers a smart suite to support application security audits and security and privacy through DevSecOps design processes. The YAG-Suite supports developers in understanding the vulnerability causes and consequences. It goes beyond traditional vulnerability detection. Its contextual remediation helps them to quickly fix the problem and improve their secure coding skills. YAG-Suite's unique 'code mining' allows for security investigations of unknown applications. It maps all relevant security mechanisms and provides querying capabilities to search out 0-days and other non-automatically detectable risks. PHP, Java and Python are currently supported. Next languages in roadmap are JS, C and C++.

Open Source Enterprise-Grade Managed Hosting amazee.io provides agile, high-performance hosting solutions specifically engineered for enterprise speed, security, and global scale. From sprawling multi-site Drupal architectures to isolated Laravel apps and bespoke technology stacks, our container-based platform offers the ultimate flexibility for any digital project. Our specialized systems engineers act as an extension of your team, providing 24/7/365 support for custom configurations and unique architectural needs. We prioritize the integrity of your data with a GDPR-compliant infrastructure that has successfully passed rigorous SOC 2 audits. By leveraging the latest cloud-native technologies, we deliver a seamless experience for developers and end-users alike. Our intelligent platform is built to absorb sudden traffic surges and automatically provision server resources the moment they are required. Furthermore, you can accelerate your workflow by generating byte-for-byte clones of your environment for rapid testing and Git-based pull requests. Your Partner in Managed Open Source Excellence.

DecisionRules is a type of rules engine solution designed to help businesses automate complex decision-making processes in real time. This innovative platform empowers organizations to streamline operations, enhance efficiency, and make data-driven decisions swiftly and effectively. By leveraging advanced algorithms and customizable rules, DecisionRules enables users to optimize various business functions, from customer targeting to pricing strategies. The target audience for DecisionRules includes businesses of all sizes across various industries that seek to improve their operational efficiency and decision-making capabilities. This solution is particularly beneficial for organizations dealing with large volumes of data and requiring rapid responses to market changes. Use cases for DecisionRules range from identifying ideal customer segments for specific products to dynamically adjusting pricing strategies based on real-time market conditions, ensuring that businesses remain competitive and responsive. Key features of DecisionRules include its ability to process an impressive 100,000 decisions per minute, which allows businesses to scale operations without compromising on speed or accuracy. The platform offers seamless integration with existing systems, enabling users to implement it without significant disruptions to their current workflows. This ease of integration is crucial for organizations looking to adopt advanced decision-making tools without extensive training or resource allocation.

Mailtrap is an email API and SMTP service provider built for developer and product teams. It is designed to send transactional and bulk emails with a strong focus on high deliverability rates and reliable performance. Quick integration is enabled through official SDKs for major programming languages, ready-to-use code snippets, and extensive resources, including broad documentation, blog guides, and video tutorials. The platform is backed by 24/7 support from a team of engineers and deliverability experts. Mailtrap’s robust infrastructure is built to handle high-volume sending, allowing businesses to scale confidently. High inboxing rates are ensured with features like dedicated IPs, auto warm-up, separate sending streams, and multi-tenant accounts.

LoginID's SKDs and APIs allow sites and apps to easily integrate our FIDO/FIDO2-certified multi-factor authentication solution. By leveraging the native biometrics on the end user's device, our platform creates a private/public key pair that enables strong customer authentication. The end user does not need to install any additional apps and the private key never leaves the secure area of their device. LoginID's transaction confirmation service is perfect for online merchants because it prompts a biometric action for each transaction which is then cryptographically signed. We are in alignment with PSD2, GDPR, CCPA, and HIPAA standards. LoginID has SDKs for iOS, Android, React-Native, Web, Python, Java, and Node as well as a WordPress Plugin.

Modern software development must be as fast as the business. The modern AppSec toolbox lacks integration, which creates complexity that slows down software development life cycles. Contrast reduces the complexity that hinders today's development teams. Legacy AppSec uses a single-size-fits all approach to vulnerability detection and remediation that is inefficient, costly, and expensive. Contrast automatically applies the most efficient analysis and remediation technique, greatly improving efficiency and effectiveness. Separate AppSec tools can create silos that hinder the collection of actionable intelligence across an application attack surface. Contrast provides centralized observability, which is crucial for managing risks and capitalizing upon operational efficiencies. This is both for security and development teams. Contrast Scan is a pipeline native product that delivers the speed, accuracy and integration required for modern software development.

Validate modifications across numerous supported resource types in all leading cloud service providers. Conduct scans of cloud resources during the build phase to identify misconfigured settings using a straightforward Python policy-as-code framework. Examine the connections between cloud resources through Checkov’s graph-oriented YAML policies. Run, test, and adjust runner parameters within the context of a specific repository's CI/CD processes and version control systems. Customize Checkov to create your own unique policies, providers, and suppression terms. Avoid the deployment of misconfigurations by integrating this process into the current workflows of developers. Facilitate automated annotations on pull or merge requests in your repositories, eliminating the need to establish a CI pipeline or perform routine checks. The Bridgecrew platform will automatically review new pull requests and provide comments highlighting any policy violations it uncovers, ensuring continuous compliance and security improvements in your cloud infrastructure. This proactive approach helps maintain best practices and enhances the overall security posture of your cloud environment.

You can develop on your laptop, then scale the same Python code elastically across hundreds or GPUs on any cloud. Ray converts existing Python concepts into the distributed setting, so any serial application can be easily parallelized with little code changes. With a strong ecosystem distributed libraries, scale compute-heavy machine learning workloads such as model serving, deep learning, and hyperparameter tuning. Scale existing workloads (e.g. Pytorch on Ray is easy to scale by using integrations. Ray Tune and Ray Serve native Ray libraries make it easier to scale the most complex machine learning workloads like hyperparameter tuning, deep learning models training, reinforcement learning, and training deep learning models. In just 10 lines of code, you can get started with distributed hyperparameter tune. Creating distributed apps is hard. Ray is an expert in distributed execution.

​SOOS is the easy-to-setup software supply chain security solution. Maintain your SBOM and manage SBOMs from your vendors. Continuously monitor, find, and fix vulnerabilities and license issues. With the fastest time to implementation in the industry, you can empower your entire team with SCA and DAST–no scan limits.​

Flawnter automates static application security testing to detect hidden security bugs and quality issues at the source. Flawnter is a great alternative to manual code review. It can speed up the process and find bugs you may not have noticed. You can either create your own extensions for Flawnter or use existing ones. Extensions allow you to test more bugs and expand your testing coverage. Extensions are easy and allow you to access Flawnter functionality. Flawnter has a simple and flexible pricing structure that makes it affordable for all sizes of organizations to improve their application code security. Other options are also available.

Codeaid is a Free Coding Testing Platform that helps companies and recruiters hire the best software developers. It tests them with everyday projects that demonstrate their real-world skills. With this platform, you can evaluate candidates by testing not only specific languages or frameworks but also coding fundamentals and application design concepts. Additionally, the duration of Codeaid’s tests is much longer than those currently on the market, allowing for more comprehensive skills testing than ever before. Benefits of Using Codeaid: - More comprehensive and on-the-job skills testing - Accurate prediction of real-life perform - Reduced involvement of technical staff in grading - Easier and quicker hiring processes - Zero cost

Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complicated AI tools is hard. And confusing. Especially if you don't know machine learning. That’s why Nyckel built a platform that makes image and text classification easy. In just a few minutes, you can train an AI model to identify attributes of any image or text. Our goal is to help anyone spin up an image or text classification model in just minutes, regardless of technical knowledge.

Mage is a powerful tool designed to convert your data into actionable predictions effortlessly. You can construct, train, and launch predictive models in just a matter of minutes, without needing any prior AI expertise. Boost user engagement by effectively ranking content on your users' home feeds. Enhance conversion rates by displaying the most pertinent products tailored to individual users. Improve user retention by forecasting which users might discontinue using your application. Additionally, facilitate better conversions by effectively matching users within a marketplace. The foundation of successful AI lies in the quality of data, and Mage is equipped to assist you throughout this journey, providing valuable suggestions to refine your data and elevate your expertise in AI. Understanding AI and its predictions can often be a complex task, but Mage demystifies the process, offering detailed explanations of each metric to help you grasp how your AI model operates. With just a few lines of code, you can receive real-time predictions and seamlessly integrate your AI model into any application, making the entire process not only efficient but also accessible for everyone. This comprehensive approach ensures that you are not only utilizing AI effectively but also gaining insights that can drive your business forward.

User auth for web and mobile apps with industry-leading security and passwordless login convenience for end users. Vault Vision's low-code user authentication platform allows applications to securely manage user auth and login management. Our platform helps application owners increase user login engagement with passwordless application logins powered by mobile passkeys, two factor auth (2FA), multi-factor auth (MFA), face id auth, fingerprint auth, USB key auth, pin based auth, SSO with email, OIDC logins for Apple, Google and Microsoft, and more.

Tggl was designed for teams that need to move quickly. The intuitive interface allows your entire team to modify the features of your app at any time. There are no longer lengthy deployment cycles for small changes. Tggl doesn't require technical knowledge so your product team can make decisions right away without developers. Tggl makes it easy for flags to be managed across mobile, web, or backend applications. You can organize your flags into projects or development environments. Tggl allows you to manage release dates, allow features for a select few users, for certain countries, and any custom business logic. You can randomly show different versions of a feature, and you will see which one performs best. Tggl ensures that every user has the same version of a feature, which makes your app more intuitive.

Descope is a CIAM platform meant for developers and IT teams. Customers can easily create frictionless and secure user journey flows for each user interaction using our no-code workflow builder and SDKs. Descope allows developers to spend more time working on core app projects by abstracting the details of authentication methods, session management, and risk management. Our platform makes it easy to manage users, tenants, RBAC, SCIM provisioning, and identity federation without any hassle. Customers use Descope to enhance user experience with passwordless authentication, improve security with risk-based MFA, and centralize user identities across all business-facing apps.

SuperAGI SuperCoder is an innovative open-source autonomous platform that merges an AI-driven development environment with AI agents, facilitating fully autonomous software creation, beginning with the Python language and its frameworks. The latest iteration, SuperCoder 2.0, utilizes large language models and a Large Action Model (LAM) that has been specially fine-tuned for Python code generation, achieving remarkable accuracy in one-shot or few-shot coding scenarios, surpassing benchmarks like SWE-bench and Codebench. As a self-sufficient system, SuperCoder 2.0 incorporates tailored software guardrails specific to development frameworks, initially focusing on Flask and Django, while also utilizing SuperAGI’s Generally Intelligent Developer Agents to construct intricate real-world software solutions. Moreover, SuperCoder 2.0 offers deep integration with popular tools in the developer ecosystem, including Jira, GitHub or GitLab, Jenkins, and cloud-based QA solutions like BrowserStack and Selenium, ensuring a streamlined and efficient software development process. By combining cutting-edge technology with practical software engineering needs, SuperCoder 2.0 aims to redefine the landscape of automated software development.

Qwen-7B is the 7-billion parameter iteration of Alibaba Cloud's Qwen language model series, also known as Tongyi Qianwen. This large language model utilizes a Transformer architecture and has been pretrained on an extensive dataset comprising web texts, books, code, and more. Furthermore, we introduced Qwen-7B-Chat, an AI assistant that builds upon the pretrained Qwen-7B model and incorporates advanced alignment techniques. The Qwen-7B series boasts several notable features: It has been trained on a premium dataset, with over 2.2 trillion tokens sourced from a self-assembled collection of high-quality texts and codes across various domains, encompassing both general and specialized knowledge. Additionally, our model demonstrates exceptional performance, surpassing competitors of similar size on numerous benchmark datasets that assess capabilities in natural language understanding, mathematics, and coding tasks. This positions Qwen-7B as a leading choice in the realm of AI language models. Overall, its sophisticated training and robust design contribute to its impressive versatility and effectiveness.

Peliqan.io provides a data platform that is all-in-one for business teams, IT service providers, startups and scale-ups. No data engineer required. Connect to databases, data warehouses, and SaaS applications. In a spreadsheet interface, you can explore and combine data. Business users can combine multiple data sources, clean data, edit personal copies, and apply transformations. Power users can use SQL on anything, and developers can use Low-code to create interactive data apps, implement writing backs and apply machine intelligence.

Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others. Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action. Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control. The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes. Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments.

WhoisFreaks provides enterprise-grade domain and IP intelligence for security teams, researchers, and developers who need actionable threat intelligence. Data Coverage: - 1529+ TLDs - Hundreds of millions of domains - Real-time WHOIS lookups with 40-year historical depth - 6.5 billion hostnames - 18.2 billion DNS records Platform Architecture: - API-first design - REST endpoints for real-time queries - Bulk operations for large-scale processing - Downloadable datasets - Daily updates with deduplicated records Ideal For: - Vulnerability research - Infrastructure monitoring and drift detection - Brand protection initiatives - Phishing investigations - Large-scale domain analytics

Postcoder is a global address verification and customer data validation API used by over 10,000 organisations worldwide. Built by Allies Computing, Postcoder helps businesses capture clean, accurate customer data at the point of entry, reducing errors, cutting failed deliveries, and speeding up checkout and onboarding flows. Postcoder's address lookup API lets users find verified addresses instantly using postcode lookup or address autocomplete. Look up addresses based on a postcode, part of an address or a coordinate position. Postcoder provides access to Royal Mail PAF and Multiple Residence addresses, Ordnance Survey AddressBase property records and international addresses in 249 countries. Beyond address verification, Postcoder offers a full suite of contact data validation tools in a single API integration. Bank account validation checks sort codes and account numbers in real time, confirming validity, returning branch details, and verifying direct debit eligibility - useful for subscription businesses, lenders, and anyone collecting payment mandates. Email validation checks formatting, domain validity, and flags disposable or high-risk addresses to keep CRM data clean and improve deliverability. Mobile number validation checks whether a number is active and connected across 200+ countries, helping reduce wasted SMS spend and improve contact rates. For added security, Postcoder also offers OTP verification, delivering one-time passwords via SMS to protect customer accounts at sign-up, login, or checkout. Developers appreciate the comprehensive documentation and sample code, and a 30-day free trial means teams can get up and running in minutes without a credit card.

Our Service Objects Email Validation integrates seamlessly with web forms and applications. It performs over 50 integrity checks, filters and provides deeper insights into deliverability and risk than any other provider. Our email validation service performs more than 50 checks and verifies the content of emails. It then returns a simple pass/fail result that allows you to send emails confidently, increasing deliverability and reducing bounce rates by up to 90 percent. You can identify and remove problematic emails by using warning flags such as bogus, vulgar and disposable, role, misspelling and screamer. We are the only email verification service that provides up-to-date reputation information for email service providers. This ensures the integrity of your email. Capture accurate, up-to-date emails on your web forms so that critical information and marketing messages reach your customers.

Our services provide comprehensive insight on customer phone data including line type, porting and the essential feature to identify connected or disconnected numbers for more than 600 million US and Canadian landline, mobile and VOIP numbers. Our database contains more than 382 millions residential and 210,000,000 business listings. This ensures the most accurate data. Validate and format US & Canadian phone numbers while determining connected/disconnected status to help identify fraudulent contacts and increase contact rates. We provide detailed caller data based on a phone number. This includes name, mailing address and geo-coordinates of the address, phone type, line types, date ported as well as connected or disconnected status. Our software offers the most comprehensive reverse number lookup available, with an additional 244 millions wireless phone numbers.

Validate international formats and phone numbers, eliminate fraudulent contacts and increase contact rates. Remove non-reachable numbers from your contact records. Phone Validation by Service Objects offers unmatched accuracy and coverage to quickly determine global phone numbers. Our software covers 8.6 billion phone numbers worldwide, including 7.3 million mobile numbers, and more than 250 countries and regions. Phone numbers are standardised according to country-specific formats, and receive a score that indicates if they are valid. This helps improve contact rates and supports compliance efforts. Service Objects Phone Validation relies on multiple authoritative data sources to quickly determine the validity of a number. You can be sure that you are only contacting legitimate phone numbers. This will help you increase your customer contact rates.

It is important to communicate with a lead or customer effectively. Name Validation is a 40-step process that helps your business eliminate inaccurate and bogus names. It also prevents embarrassing personalization errors from being sent out to customers and prospects. It's important to get the names of your customers and prospects right. Accurate names can be crucial for effective personalization, and are also a good indicator of fraudulent or bogus submissions to web forms. Name Validation verifies both first and last name using a global database with more than 1.4 millions first names and 2.75 millions last names. It corrects common mistakes and flags garbage before it enters into your database. Our real-time service for name validation and verification corrects and tests against a proprietary consumer database that contains millions of names to determine an overall score. This score can be used by your business to block or deny bogus submissions.

Zed is an advanced code editor crafted for seamless collaboration between humans and AI, emphasizing high performance. Developed entirely in Rust to maximize the efficiency of multiple CPU cores and GPU resources, it allows for the integration of emerging LLMs into your coding workflow for tasks such as code generation, transformation, and analysis. The platform facilitates real-time communication with team members, enabling collaborative note-taking, screen sharing, and project management. With its multibuffer system, users can edit selected excerpts from the entire codebase on a single interface. It also supports inline code evaluation through Jupyter runtimes, allowing for joint notebook editing. Zed is compatible with numerous programming languages, thanks to Tree-sitter, WebAssembly, and the Language Server Protocol. Its quick native terminal is integrated with Zed's language-aware task runner and AI features, enhancing productivity. The editor offers first-class modal editing through Vim bindings, incorporating functionalities such as text objects and marks for efficient navigation. Built by a diverse global community of thousands of developers, Zed encourages users to enhance their experience with a wide array of extensions that expand language capabilities, provide various themes, and more. Furthermore, its user-friendly design aims to streamline development workflows, making it an ideal choice for programmers looking to elevate their coding efficiency.

Designed specifically for optimizing compute, memory, and storage, Oxla serves as a self-hosted data warehouse that excels in handling large-scale, low-latency analytics while providing strong support for time-series data. While cloud data warehouses may suit many, they are not universally applicable; as operations expand, the ongoing costs of cloud computing can surpass initial savings on infrastructure, particularly in regulated sectors that demand comprehensive data control beyond mere VPC and BYOC setups. Oxla surpasses both traditional and cloud-based warehouses by maximizing efficiency, allowing for the scalability of expanding datasets with predictable expenses, whether on-premises or in various cloud environments. Deployment, execution, and maintenance of Oxla can be easily managed using Docker and YAML, enabling a range of workloads to thrive within a singular, self-hosted data warehouse. In this way, Oxla provides a tailored solution for organizations seeking both efficiency and control in their data management strategies.

Lapce is an innovative, open-source code editor designed to provide a swift and responsive experience, especially beneficial for developers tackling extensive projects or intricate codebases. Developed using Rust, Lapce takes advantage of native development's performance benefits to ensure a seamless editing experience that minimizes delays. The editor boasts a sleek, contemporary interface alongside advanced features like multi-caret editing, split views, and integrated terminal capabilities. By incorporating support for the Language Server Protocol (LSP), Lapce delivers accurate autocompletion, syntax highlighting, and efficient code navigation for a variety of programming languages, ultimately boosting developer productivity. Its high degree of extensibility, comprehensive plugin support, and emphasis on performance position Lapce as an optimal choice for developers seeking a lightweight yet robust editor that effectively combines simplicity with functionality, making it appealing to both novices and experienced coders alike. Furthermore, Lapce's commitment to community-driven development ensures that it continues to evolve, addressing the needs of users and keeping pace with the ever-changing landscape of software development.

Qwen2.5 represents a state-of-the-art multimodal AI system that aims to deliver highly precise and context-sensitive outputs for a diverse array of uses. This model enhances the functionalities of earlier versions by merging advanced natural language comprehension with improved reasoning abilities, creativity, and the capacity to process multiple types of media. Qwen2.5 can effortlessly analyze and produce text, interpret visual content, and engage with intricate datasets, allowing it to provide accurate solutions promptly. Its design prioritizes adaptability, excelling in areas such as personalized support, comprehensive data analysis, innovative content creation, and scholarly research, thereby serving as an invaluable resource for both professionals and casual users. Furthermore, the model is crafted with a focus on user engagement, emphasizing principles of transparency, efficiency, and adherence to ethical AI standards, which contributes to a positive user experience.

Achieve enhanced precision and control through LangGraph, enabling the creation of agents capable of efficiently managing intricate tasks. The LangGraph Platform facilitates the development and scaling of agent-driven applications. With its adaptable framework, LangGraph accommodates various control mechanisms, including single-agent, multi-agent, hierarchical, and sequential flows, effectively addressing intricate real-world challenges. Reliability is guaranteed by the straightforward integration of moderation and quality loops, which ensure agents remain focused on their objectives. Additionally, LangGraph Platform allows you to create templates for your cognitive architecture, making it simple to configure tools, prompts, and models using LangGraph Platform Assistants. Featuring inherent statefulness, LangGraph agents work in tandem with humans by drafting work for review and awaiting approval prior to executing actions. Users can easily monitor the agent’s decisions, and the "time-travel" feature enables rolling back to revisit and amend previous actions for a more accurate outcome. This flexibility ensures that the agents not only perform tasks effectively but also adapt to changing requirements and feedback.

Tinify CDN is a powerful content delivery network designed to boost website performance by efficiently analyzing, optimizing, and distributing your site's files across a vast network of servers worldwide. This service incorporates Tinify's automated image optimization, which removes the necessity for manual tweaks and guarantees consistently excellent results. The setup process for Tinify CDN is user-friendly, with clear installation guides provided for widely-used content management systems and frameworks. Among its notable features are sophisticated image optimization, secure HTTPS connections, and global content delivery facilitated by three independent networks, all of which ensure instant configuration regardless of the website's architecture. It also offers simple image resizing through URL modifications and includes an intuitive dashboard that allows users to manage settings and track data usage easily. Furthermore, Tinify CDN accommodates custom domains, enabling businesses to uphold a cohesive brand identity while simultaneously fostering trust and credibility among their audience. This combination of features makes Tinify CDN an essential tool for any website looking to improve its performance and user experience.

Tülu 3 is a cutting-edge language model created by the Allen Institute for AI (Ai2) that aims to improve proficiency in fields like knowledge, reasoning, mathematics, coding, and safety. It is based on the Llama 3 Base and undergoes a detailed four-stage post-training regimen: careful prompt curation and synthesis, supervised fine-tuning on a wide array of prompts and completions, preference tuning utilizing both off- and on-policy data, and a unique reinforcement learning strategy that enhances targeted skills through measurable rewards. Notably, this open-source model sets itself apart by ensuring complete transparency, offering access to its training data, code, and evaluation tools, thus bridging the performance divide between open and proprietary fine-tuning techniques. Performance assessments reveal that Tülu 3 surpasses other models with comparable sizes, like Llama 3.1-Instruct and Qwen2.5-Instruct, across an array of benchmarks, highlighting its effectiveness. The continuous development of Tülu 3 signifies the commitment to advancing AI capabilities while promoting an open and accessible approach to technology.

Our Sports Game Odds API provides near-real-time data on sports and betting odds. It is the ultimate resource for developing sports apps, betting platforms or analytics models. Our odds API covers dozens of sports leagues and provides the data you need. You can access a variety odds data via multiple endpoints. Each is designed for specific queries, and each parameter can be customized to meet your needs. You can track live odds, historical data or bets. 55+ Leagues Across 25+ Sports Pre-match and Live Odds for Spreads, Over-Unders and Moneylines Futures odds, Player Props and Game Props Sub-Minute Updates for Real-Time Data Historical Data Availability Scores and Stats with 100% of Odds Results Data for All Odds Partial Game Odds Live In-Game Odds: Dynamic Betting Comprehensive player, team, league, and tournament data Major and Minor Sports receive extensive support

Cognee is an innovative open-source AI memory engine that converts unprocessed data into well-structured knowledge graphs, significantly improving the precision and contextual comprehension of AI agents. It accommodates a variety of data formats, such as unstructured text, media files, PDFs, and tables, while allowing seamless integration with multiple data sources. By utilizing modular ECL pipelines, Cognee efficiently processes and organizes data, facilitating the swift retrieval of pertinent information by AI agents. It is designed to work harmoniously with both vector and graph databases and is compatible with prominent LLM frameworks, including OpenAI, LlamaIndex, and LangChain. Notable features encompass customizable storage solutions, RDF-based ontologies for intelligent data structuring, and the capability to operate on-premises, which promotes data privacy and regulatory compliance. Additionally, Cognee boasts a distributed system that is scalable and adept at managing substantial data volumes, all while aiming to minimize AI hallucinations by providing a cohesive and interconnected data environment. This makes it a vital resource for developers looking to enhance the capabilities of their AI applications.

ai|coustics is a platform powered by AI technology that aims to enhance both audio and video recordings by improving speech intelligibility and removing unwanted background noise. The platform features an intuitive web application that allows users to upload their files for enhancement, along with an API and SDK that enable developers to incorporate real-time audio processing into their own software and hardware solutions. Two main AI models drive its functionality: Finch, which excels in noise reduction, and Lark, which recovers lost frequencies and adds richness for a studio-quality listening experience. Supporting more than 40 file formats such as MP3, MP4, WAV, and MOV, ai|coustics also offers batch processing options to streamline workflow. With a user base exceeding 500,000, including prominent organizations such as BosePark, Bayerischer Rundfunk, and Sieve, ai|coustics serves a diverse range of clients. The platform is especially advantageous for podcasters, content creators, educators, and developers aiming to provide superior audio quality across multiple channels. Furthermore, its versatility makes it an essential tool for anyone looking to elevate their audio production standards.

LTXV presents a comprehensive array of AI-enhanced creative tools aimed at empowering content creators on multiple platforms. The suite includes advanced AI-driven video generation features that enable users to meticulously design video sequences while maintaining complete oversight throughout the production process. By utilizing Lightricks' exclusive AI models, LTX ensures a high-quality, streamlined, and intuitive editing experience. The innovative LTX Video employs a breakthrough technology known as multiscale rendering, which initiates with rapid, low-resolution passes to capture essential motion and lighting, subsequently refining those elements with high-resolution detail. In contrast to conventional upscalers, LTXV-13B evaluates motion over time, preemptively executing intensive computations to achieve rendering speeds that can be up to 30 times faster while maintaining exceptional quality. This combination of speed and quality makes LTXV a powerful asset for creators seeking to elevate their content production.

Dash0 is an OpenTelemetry-native observability platform for developers and SRE teams. Metrics, logs, traces, and resources sit in one place, linked by OpenTelemetry semantic conventions, so you move from a slow trace to the logs around it without switching tools or rebuilding context by hand. Telemetry arrives over OTLP. There is no proprietary agent to install and nothing to re-instrument: send the OpenTelemetry data you already collect, and take it elsewhere unchanged if you ever want to. Dash0 ingests Prometheus metrics alongside OpenTelemetry, supports PromQL, and imports existing Prometheus alerting rules and Grafana dashboards. A Kubernetes operator handles collection across clusters, covering workloads, nodes, and control plane. Dashboards are built on Perses and defined as code, so they live in Git and ship through the same review process as the rest of your infrastructure. Checks and alerts are configured the same way. Heatmap drilldowns and filtering on high-cardinality attributes narrow a broad symptom down to the specific requests behind it. AI works on the data rather than in a chat window. Log AI infers severity for logs that arrive without it, extracts patterns, and groups related records, which makes unstructured output from third-party services searchable and filterable. Trace triage uses the SIFT framework to narrow a failing request toward a likely cause. Spend is visible in the product. You can see which services, attributes, and log volumes drive cost and cut them at the source, rather than reconciling a bill after the fact.

Grok Code Fast 1 introduces a new class of coding-focused AI models that prioritize responsiveness, affordability, and real-world usability. Tailored for agentic coding platforms, it eliminates the lag developers often experience with reasoning loops and tool calls, creating a smoother workflow in IDEs. Its architecture was trained on a carefully curated mix of programming content and fine-tuned on real pull requests to reflect authentic development practices. With proficiency across multiple languages, including Python, Rust, TypeScript, C++, Java, and Go, it adapts to full-stack development scenarios. Grok Code Fast 1 excels in speed, processing nearly 190 tokens per second while maintaining reliable performance across bug fixes, code reviews, and project generation. Pricing makes it widely accessible at $0.20 per million input tokens, $1.50 per million output tokens, and just $0.02 for cached inputs. Early testers, including GitHub Copilot and Cursor users, praise its responsiveness and quality. For developers seeking a reliable coding assistant that’s both fast and cost-effective, Grok Code Fast 1 is a daily driver built for practical software engineering needs.

GLM-5.1 represents the latest advancement in Z.ai’s GLM series, crafted as a cutting-edge, agent-focused AI model tailored for coding, reasoning, and managing long-term workflows. This iteration builds upon the framework of GLM-5, which employs a Mixture-of-Experts (MoE) architecture to achieve high performance without incurring excessive inference expenses, aligning with a larger initiative towards open-weight models that are accessible to developers. A significant emphasis of GLM-5.1 is on fostering agentic behavior, allowing it to plan, execute, and refine multi-step tasks instead of merely reacting to isolated prompts. Its capabilities are specifically engineered to manage intricate workflows, such as debugging code, exploring repositories, and performing sequential operations while maintaining context over time. In comparison to its predecessors, GLM-5.1 enhances reliability during lengthy interactions, ensuring coherence throughout extended sessions and minimizing failures in multi-step reasoning processes. Overall, this model signifies a leap forward in AI development, particularly in its ability to support complex task management seamlessly.

Kimi K2.6 is an advanced agentic AI model created by Moonshot AI, aiming to enhance practical implementation, programming, and complex reasoning compared to its predecessors, K2 and K2.5. This model is based on a Mixture-of-Experts framework and the multimodal, agent-centric principles of the Kimi series, merging language comprehension, coding capabilities, and tool utilization into one cohesive system that can plan and execute intricate workflows. It features enhanced reasoning skills and significantly better agent planning, enabling it to deconstruct tasks, synchronize various tools, and tackle multi-file or multi-step challenges with increased precision and effectiveness. Additionally, it provides robust tool-calling capabilities with a high degree of reliability, facilitating seamless integration with external platforms like web searches or APIs, and incorporates built-in validation systems to guarantee the accuracy of execution formats. Notably, Kimi K2.6 represents a significant leap forward in the realm of AI, setting new standards for the complexity and reliability of automated tasks.

Qwen3.7-Max represents the latest advancement in Qwen's proprietary models, tailored for the agent era, and serves as a robust foundation for various applications, including code writing and debugging, office workflow automation, and maintaining extended autonomous browser sessions. This model achieves top-tier coding performance, demonstrating superior capabilities in software engineering, terminal operations, GUI interactions, web browsing, and the utilization of agentic tools. By enhancing the alignment between model intelligence and real-world agent execution, Qwen3.7-Max facilitates advanced planning, long-context reasoning, dependable function invocation, and the execution of multi-step tasks within intricate workflows. Furthermore, it bolsters multimodal and document-centric tasks through Qwen Studio, which enables chatbot interactions, comprehends images and videos, generates images, processes documents, creates presentations, offers coding support, conducts in-depth research, and enables web development. This comprehensive suite of features positions Qwen3.7-Max as a leading solution for diverse operational needs in the modern digital landscape.

omp (oh my pi) is an AI coding agent platform designed to give developers a fully integrated environment for software development, debugging, automation, and collaboration. Built as an enhanced evolution of the Pi coding harness, it connects AI models directly to language servers, debuggers, shells, browsers, memory systems, GitHub repositories, and local development tools without relying on separate plugins or external workflows. The platform supports more than 40 AI providers, allowing developers to switch between frontier models, coding plans, local models, and self-hosted AI services from a unified interface. omp includes advanced capabilities such as structural code editing, intelligent code review, persistent Python and JavaScript execution, browser automation, workflow orchestration, subagents, and collaborative live coding sessions. Developers can debug applications using integrated DAP support, perform semantic code analysis through LSP integration, and automate complex development tasks with specialized built-in tools. Its local memory system allows the agent to retain project knowledge across sessions while maintaining developer control over stored information. omp also introduces innovations such as hash-based code editing, deterministic context compaction, time-traveling stream rules, and content-aware retrieval that improve AI coding accuracy while reducing token usage. Built on a native Rust engine with support for Windows, macOS, and Linux, the platform emphasizes speed, low overhead, and deep integration with local development environments. As an MIT-licensed open-source project, omp gives developers an extensible AI coding platform that can be customized, audited, and expanded to match their own engineering workflows.

ReqKey enhances the API you control by incorporating key features such as API key authentication, usage credits, rate limiting, and analytics for requests. It operates with your custom middleware, which performs a single verification call for each incoming request; in this process, ReqKey checks the validity of the caller’s key, subtracts a usage credit from the consumer's balance, imposes their rate limit, and logs the request along with details like status code, latency, and location. Notably, it does not act as a proxy, gateway, or require any DNS modifications, ensuring that it does not introduce additional latency into your critical operations. The average validation time is under 5 milliseconds, and the credit system is designed to be per consumer, meaning that issuing a second key to a customer does not increase their quota, keeping balances consistent across different regions. Additionally, ReqKey offers features such as shadow limits, managed overages, reusable plans, alerts for low credits, and detailed logs that can be filtered by endpoint, status, consumer, and time period. In terms of usage tracking and billing, ReqKey accurately meters and monitors usage while allowing you to retain control over your own billing infrastructure. It also provides software development kits (SDKs) for various programming languages including Python, Node.js, Go, Rust, PHP, .NET, and Java, along with framework adapters compatible with FastAPI, Express, Django, and more, ensuring seamless integration into your existing applications. By offering this comprehensive suite of functionalities, ReqKey empowers developers to manage their APIs with greater flexibility and insight.

Stadia Maps is a location platform that prioritizes user privacy while offering rapid and dependable mapping, routing, and geocoding APIs suitable for contemporary applications and AI technologies. Designed for teams that seek global capabilities, clear pricing structures, and personalized support without compromising user privacy or resorting to proprietary rendering systems, Stadia Maps considers mapping services to be essential infrastructure rather than promotional tools. The company develops scalable services that cater to everything from initial product launches to extensive enterprise solutions. Its technology is employed by a diverse range of businesses creating logistics solutions, mobility applications, navigation systems, and various other location-based products across the globe. By focusing on user-centric design, Stadia Maps ensures that its clients can innovate without the constraints often imposed by traditional mapping services.

Zyrox Proxy is a residential proxy network designed for responsible and extensive data gathering. It boasts over 70 million ethically sourced residential IP addresses spanning more than 180 countries, enabling precise targeting down to country, state, city, and ASN levels, available through both HTTP(S) and SOCKS5 protocols. The service supports both rotating and sticky sessions. Zyrox operates on a pay-as-you-go model, allowing users to purchase bandwidth by the gigabyte without any monthly commitments, and the GBs bought do not expire. In addition to its residential offerings, Zyrox also provides datacenter, mobile (3G/4G/5G), and premium proxy pools accessible from a single endpoint. Common applications for Zyrox Proxy include web scraping, conducting market and price research, verifying advertisements, safeguarding brands, monitoring SEO, and performing quality assurance testing. The flexibility and extensive features make it a valuable tool for various digital tasks.

Sourcegraph is an enterprise-grade code intelligence platform that empowers both humans and AI agents to understand and manage sprawling codebases. It combines lightning-fast code search, agentic AI-powered Deep Search, and automation tools like Batch Changes to turn insights into action. Teams can search millions of repositories, analyze patterns, and make large-scale changes safely and efficiently. With features like Sourcegraph MCP, the platform improves the accuracy and effectiveness of coding agents operating in legacy and complex systems. Built with security, scalability, and compliance at its core, Sourcegraph helps organizations ship faster without losing control of their code. It bridges the gap between rapid AI-driven development and long-term code quality.

Codacy is an end-to-end DevSecOps platform designed to enforce code quality, security, and compliance across modern development workflows. It integrates seamlessly with IDEs, repositories, and CI/CD pipelines to provide continuous analysis and real-time feedback. The platform performs static and dynamic testing, dependency scanning, and infrastructure checks to identify vulnerabilities early and throughout the software lifecycle. Codacy’s AI Guardrails feature ensures that both human-written and AI-generated code meet organizational standards by detecting risks and automatically fixing issues. It also offers automated pull request reviews, quality metrics, and test coverage tracking to improve development efficiency. Centralized policies allow organizations to maintain consistent standards across teams and projects. With support for multiple programming languages and easy integration into existing workflows, Codacy simplifies secure coding practices. It helps teams reduce manual review effort while improving code reliability and maintainability. By combining security, quality, and AI protection, Codacy empowers teams to ship faster with confidence.

Predator CNC Editor is one of the most popular CNC editor on the market. It has hundreds of features that will improve the productivity of CNC operators, programmers, and machine tool operators. Yet, it is very easy to use. The Predator CNC Editor is a great choice for small shops or large manufacturers.

Sourcetrail serves as an interactive tool designed to enhance the exploration of existing source code by systematically indexing it and collecting information about its architecture. This tool offers a user-friendly interface composed of three dynamic views, each essential for accessing the necessary information efficiently. The Search feature enables users to swiftly locate and choose indexed symbols within the source code. An autocompletion box appears, providing an immediate overview of all relevant results found throughout the entire codebase. The Graph view visualizes the arrangement of your source code, emphasizing the currently selected symbol while illustrating its incoming and outgoing dependencies with other symbols. Meanwhile, the Code view lists all the source locations tied to the selected symbol through various code snippets, and clicking on any listed location allows users to shift their selection for a more in-depth analysis. Overall, Sourcetrail significantly streamlines the process of understanding complex code structures.