Business Software for .NET

NSwag serves as a robust toolchain for working with Swagger/OpenAPI versions 2.0 and 3.0, designed for environments like .NET, .NET Core, ASP.NET Core, and TypeScript, and it is developed in C#. This tool empowers developers to create OpenAPI specifications directly from their existing API controllers and subsequently generate client code based on those specifications. By merging the capabilities typically offered by Swashbuckle for OpenAPI/Swagger creation and AutoRest for client generation, NSwag streamlines the process into a single, efficient toolchain. Among its notable features are the ability to produce both Swagger 2.0 and OpenAPI 3.0 specifications from C# ASP.NET (Core) controllers, the option to serve these specifications through ASP.NET (Core) middleware while providing integrated interfaces like Swagger UI or ReDoc, and the capability to create C# or TypeScript clients/proxies from the generated specifications. Furthermore, NSwag accommodates a variety of usage options, including a user-friendly graphical interface known as NSwagStudio, command-line tools that work across Windows, Mac, and Linux platforms, and seamless integration into C# projects through NuGet packages, making it a versatile choice for developers. With its extensive functionality, NSwag significantly enhances the efficiency of API development and client generation.

TrifleJS serves as a headless browser tailored for automated testing, leveraging the .NET WebBrowser class along with the V8 JavaScript engine to replicate environments akin to Internet Explorer. Modeled after PhantomJS, its API provides a sense of familiarity for users accustomed to that framework. It accommodates multiple versions of Internet Explorer, enabling emulation of IE7, IE8, and IE9, dictated by the version installed on the system. Developers are empowered to run scripts through the command line while specifying which version of Internet Explorer they wish to emulate. Additionally, TrifleJS features an interactive mode (REPL) that facilitates the debugging and testing of JavaScript code, enhancing the overall development experience. This flexibility makes it a valuable tool for developers looking to ensure compatibility across different Internet Explorer environments.

Nakama is a game server framework that is open source and created by Heroic Labs, aimed at supporting the development of real-time, multiplayer, and social gaming experiences across a variety of platforms like Godot, Unity, and Unreal Engine. It offers an extensive range of features including real-time multiplayer support, customizable matchmaking systems, leaderboards, in-game chat functionalities, and management of in-game currencies. Developers are empowered to enhance Nakama's capabilities through server-side scripts written in languages such as Go, TypeScript, or Lua, which provides them with authoritative game mechanics and greater oversight of the game's state. Additionally, the platform features open-source client libraries that cater to various game engines and programming languages, ensuring developers have the tools they need for smooth integration and versatility in their projects. Unlike traditional multi-tenant SaaS solutions, Nakama serves as a dedicated server, enabling developers to incorporate custom features and maintain secure, authoritative gameplay directly on their game servers. This level of customization allows for unique gaming experiences tailored to the specific needs of each project.

PlayerIO offers an extensive range of tools and services specifically designed for online game developers, enabling them to concentrate on crafting immersive experiences while alleviating concerns related to backend challenges. This platform boasts a cloud-based database that facilitates scalable data storage, a file storage system for managing assets, and a variety of hosting solutions. Additionally, it provides support for multiplayer game features, in-depth analytics, and virtual economy systems, along with seamless integration options for various payment gateways, making it a comprehensive solution for all game development requirements. Furthermore, PlayerIO's commitment to innovation ensures that developers have access to the latest technologies and resources to enhance their games.

MonoGame is an open-source framework that empowers developers to build cross-platform games utilizing C# and various .NET languages. It is compatible with an array of platforms, such as Windows, macOS, Linux, Android, iOS, PlayStation 4, PlayStation 5, Xbox One, and Nintendo Switch. This framework boasts an extensive range of features, including capabilities for 2D and 3D rendering, sound management, input processing, and content organization, which facilitate the creation of high-quality games in different genres. Serving as a re-imagining of Microsoft's XNA 4 API, MonoGame offers a familiar environment for those who have previously worked with XNA. Noteworthy titles crafted with MonoGame include "Streets of Rage 4," "Carrion," "Celeste," and "Stardew Valley," showcasing the framework's versatility and effectiveness. The MonoGame Foundation, along with a dedicated community, actively oversees the ongoing development and enhancement of the framework, ensuring it remains a valuable tool for game developers. With continuous updates, MonoGame strives to meet the evolving needs of the gaming industry.

ActiViz is a comprehensive 3D visualization library tailored for .NET C# and Unity, facilitating the seamless incorporation of sophisticated 3D visualization capabilities into applications. It is founded on the open-source Visualization Toolkit (VTK) and encompasses a diverse range of visualization algorithms, which include scalar, vector, tensor, texture, and volumetric techniques. Moreover, ActiViz boasts advanced modeling functionalities such as implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation, enhancing its versatility in various applications. This library enables developers to quickly create interactive 3D applications ready for production within the .NET ecosystem, with additional support for Windows Presentation Foundation (WPF). Furthermore, its compatibility with Unity software broadens its potential uses, making it suitable for both game development and interactive simulations. Notably, the latest version, ActiViz 9.4, introduces support for multiple .NET versions from .NET Framework 4.0 to .NET 8, along with innovative features like curved planar reformation for generating panoramic views, highlighting its continuous evolution and adaptability in the field.

Lightstreamer acts as an event broker that is finely tuned for the internet, providing a smooth and instantaneous flow of data across online platforms. In contrast to conventional brokers, it adeptly manages the challenges posed by proxies, firewalls, disconnections, network congestion, and the inherent unpredictability of web connectivity. Its advanced streaming capabilities ensure that real-time data delivery is maintained, always finding efficient and reliable pathways for your information. Lightstreamer's technology is not only well-established but also at the cutting edge, continually adapting to remain a leader in the field of innovation. With a solid history and extensive practical experience, it guarantees dependable and effective data transmission. Users can count on Lightstreamer to provide unmatched reliability in any situation, making it an invaluable tool for real-time communication needs. In an ever-evolving digital landscape, Lightstreamer stands out as a trusted partner for delivering data seamlessly.

SoftSpell is an end-to-end AI-driven SDLC intelligence platform that streamlines software development from requirements to deployment. It builds on CodeSpell’s foundation by expanding capabilities into requirement analysis, architecture design, coding, and automated testing. The platform includes specialized modules such as ReqSpell for documentation, CodeSpell for development, and TestSpell for validation. SoftSpell is particularly effective in legacy modernization, helping organizations transform monolithic systems into scalable, cloud-ready solutions. It automates key processes like requirement extraction, code transformation, and test case generation, reducing manual effort. The platform enhances collaboration by improving documentation clarity and aligning cross-functional teams. It integrates seamlessly with major IDEs like VS Code, Eclipse, and IntelliJ. SoftSpell also improves code quality and consistency through AI-driven validation and continuous integration support. By accelerating development workflows, it reduces time-to-market and operational costs. Overall, SoftSpell enables organizations to build, modernize, and deploy software more efficiently with AI-powered intelligence.

ML.NET is a versatile, open-source machine learning framework that is free to use and compatible across platforms, enabling .NET developers to create tailored machine learning models using C# or F# while remaining within the .NET environment. This framework encompasses a wide range of machine learning tasks such as classification, regression, clustering, anomaly detection, and recommendation systems. Additionally, ML.NET seamlessly integrates with other renowned machine learning frameworks like TensorFlow and ONNX, which broadens the possibilities for tasks like image classification and object detection. It comes equipped with user-friendly tools such as Model Builder and the ML.NET CLI, leveraging Automated Machine Learning (AutoML) to streamline the process of developing, training, and deploying effective models. These innovative tools automatically analyze various algorithms and parameters to identify the most efficient model for specific use cases. Moreover, ML.NET empowers developers to harness the power of machine learning without requiring extensive expertise in the field.

OnBarcode delivers an extensive range of solutions for generating and recognizing barcodes, specifically tailored to meet the needs of developers and businesses on multiple platforms. Our offerings include barcode creation and scanning tools compatible with .NET and Java, as well as integrations for popular Microsoft Office applications such as Excel and Word. We support a broad spectrum of barcode symbologies, encompassing linear types such as Code 39, Code 128, EAN-13, and UPC-A, in addition to 2D formats like QR Code, Data Matrix, and PDF417. The platform enables the generation of barcodes in various image formats and provides SDKs for effortless incorporation into applications, reports, and web services. Furthermore, OnBarcode features complimentary resources, including an online barcode generator and scanning software, which allow for straightforward testing and application implementation. Our solutions are meticulously crafted to optimize the development workflow, improve application capabilities, and cater to a wide range of business requirements in barcode generation, ultimately contributing to operational efficiency.

ZZZ Code AI is an innovative coding assistant powered by artificial intelligence, designed to aid developers in a wide range of programming activities. This platform includes a comprehensive set of tools such as the AI Code Generator, AI Bug Detector, AI Code Explainer, AI Code Refactor, AI Code Review, AI Code Converter, and AI Code Documentation. It accommodates numerous programming languages, including Python, C#, C++, Java, JavaScript, HTML, CSS, SQL, and Excel formulas, thereby catering to a diverse audience. Users can simply enter their coding needs or inquiries, and the AI promptly delivers relevant responses, code snippets, explanations, or necessary conversions. Additionally, there are specialized utilities for particular languages and frameworks, such as Dapper and Entity Framework Core, enhancing its versatility. Access to ZZZ Code AI is available online without requiring users to create an account, although there are character limits in place to deter misuse. Ultimately, ZZZ Code AI is designed to boost productivity and minimize errors for developers of all skill levels by automating repetitive coding tasks and providing real-time support, making coding more efficient and less daunting. Furthermore, the platform promotes learning by allowing users to explore coding concepts through explanations and examples.

CodeSession serves as a collaborative platform for coding interviews and offers a web-based IDE that facilitates both real-time and take-home technical evaluations without necessitating any local installations. Supporting more than 40 programming and scripting languages, it allows interviewers and candidates to collaborate in a unified space equipped with features such as syntax highlighting, auto-formatting, and customizable code templates. Additionally, the platform includes live whiteboarding, seamlessly integrates take-home test delivery, and provides unlimited user seats along with permanent storage of interviews accessible through unique links, enabling reviews of all sessions at any time. Built for quick implementation, most teams can commence their interview process within just 15 minutes after signing up, with no need for extra infrastructure or external sites. CodeSession meticulously records every keystroke and drawing action, which simplifies the assessment of coding skills and problem-solving abilities, ultimately fostering a more productive interview experience. This comprehensive approach not only enhances collaboration but also ensures that all necessary tools are readily available for both interviewers and candidates.

ByteHide is a comprehensive application security platform tailored for developers, aimed at safeguarding code, secrets, data, and runtime environments while effectively reducing dependencies and associated risks. It integrates effortlessly with existing development practices and communication platforms, providing vital security insights and alerts without hindering productivity. Adopting a zero-knowledge approach, ByteHide employs client-side encryption, ensuring that only you possess the encryption keys and that your source code is never stored on their servers. With a focus on minimal, usually read-only permissions, you maintain complete authority over which repositories and data sources undergo analysis. Core components of ByteHide include Shield, designed for advanced code obfuscation and anti-tampering, Secrets, which offers AI-driven secret detection and decentralized management, Monitor for real-time detection of runtime threats, and Radar for comprehensive SAST/SCA scanning. These essential tools operate within secure, isolated environments, automatically concealing sensitive personal data to enhance security further. By combining these features, ByteHide not only strengthens your security posture but also fosters a smoother workflow for developers.

SciChart is a versatile, high-performance charting and data visualization library designed for cross-platform development, offering GPU-accelerated, real-time 2D and 3D charting components tailored for applications built with JavaScript, WPF/.NET, iOS, macOS, and Android. This powerful suite allows developers to efficiently visualize millions to billions of data points with minimal lag, enabling the creation of intricate interactive dashboards, scientific graphs, and real-time telemetry displays without suffering from performance degradation. Its proprietary Visual Xccelerator engine, along with support for WebGL and WebAssembly, ensures that charts can refresh at high frame rates even when managing the substantial data loads common in big-data scenarios, financial trading, and instrumentation applications. Furthermore, SciChart provides a comprehensive API that supports extensive customization options, including axes, annotations, interaction modifiers, themes, and advanced chart types such as heatmaps, polar plots, 3D surface meshes, and candlestick charts, facilitating seamless integration into contemporary development processes while enhancing user experiences. With its robust features and capabilities, SciChart stands out as a leading solution for those needing dynamic and responsive data visualizations.

MPCVault is an innovative non-custodial Web3 wallet platform designed for teams and businesses to effectively manage their on-chain assets across various blockchain networks, featuring multi-signature governance and robust cryptographic safeguards. This system allows for collaborative control over treasury management, offering hierarchical permissions and adaptable transaction policies while ensuring that private keys remain undisclosed. As a result, organizations can delineate responsibilities and necessitate multiple approvals for transactions depending on their size or intended destination. Users have the capability to establish multiple vaults tailored for distinct business needs, including operational accounts, reserve assets, or vesting funds, with each vault hosting its own member roles and policy configurations. Furthermore, it provides a seamless management experience for assets, tokens, and NFTs within a singular interface, showcasing real-time transaction histories and offering exportable records that resemble bank statements, assisting in reconciliation and compliance efforts. This comprehensive approach not only enhances security but also streamlines financial oversight for organizations, ensuring that their digital assets are managed efficiently and transparently.

The Optimizely Opal platform integrates cutting-edge artificial intelligence into its Digital Experience Platform, empowering teams to create, enhance, and tailor digital experiences with reduced manual tasks and a greater strategic influence; central to this is Optimizely Opal, an AI-driven orchestration and assistance system that gathers context from various sources within Optimizely One and performs tasks within workflows instead of merely providing text responses, thus allowing teams to strategize campaigns, produce content, devise experimental ideas, evaluate outcomes, and make informed optimization choices using branded, context-sensitive AI agents. This AI functionality encompasses a wide array of areas, including content management, personalization, experimentation, analytics, and audience segmentation, enabling it to propose and automatically generate variations for experiments and testing plans, condense results into actionable insights, create customized digital content and messaging, and direct personalization efforts based on the immediate behaviors and preferences of customers. Moreover, the platform's robust AI capabilities not only simplify the process for teams but also drive more effective and engaging customer interactions.

Mangan Continuity is an adaptable, modular platform for terminal management and operations that aims to enhance real-time visibility, operational efficiency, and control for various terminal facilities, including those handling liquid, dry bulk, and multimodal operations. By integrating diverse workflows—such as truck, rail, marine, pipeline, transloading, inventory, and warehouse management—into a single web-based interface, it allows each terminal to tailor the system to its specific requirements instead of having to adjust to the software. Utilizing cutting-edge technology, the platform offers deployment options in either cloud or on-premises formats, ensuring comprehensive support for logistics and terminal operations software. Continuity effectively tracks shipments, organizes schedules, automates documentation and compliance processes, and seamlessly connects with existing enterprise systems, which minimizes manual data entry, reduces errors, alleviates bottlenecks, and enhances asset utilization and throughput. Ultimately, Mangan Continuity empowers terminal facilities to optimize their performance and adapt to the dynamic demands of the logistics industry.

Bunny Database is a comprehensive, cloud-based SQL database solution provided by the bunny.net developer platform, designed to simplify the deployment, connection, scaling, and management of relational databases without the need for infrastructure oversight. Utilizing libSQL, a derivative of SQLite, it adheres to standard SQL syntax and is compatible with existing SQLite tools, ORMs, and SDKs, while taking care of replication and scaling automatically. Users can quickly create a database with a single click, select deployment locations globally, and connect their applications through an HTTP API, native SDKs (for TypeScript/JavaScript, Go, Rust, .NET), or widely-used ORMs. Additionally, it offers tools for data inspection, query execution, and performance tracking available on the dashboard. The service ensures global replication for rapid read access and integrates effortlessly with other bunny.net offerings like Edge Scripting and Magic Containers, optimizing compute and storage proximity to users. Moreover, its usage-based billing approach allows for cost efficiency by keeping databases idle when not in use, making it an ideal choice for developers looking for flexibility and scalability.

DeepSeek-V4 is an advanced open-source large language model engineered for efficient long-context processing and high-level reasoning tasks. Supporting a massive one million token context window, it enables developers to build applications that handle extensive data and complex workflows without fragmentation. The model is available in two versions: V4-Pro for maximum reasoning power and V4-Flash for faster, cost-efficient performance. DeepSeek-V4-Pro delivers top-tier results in coding, mathematics, and knowledge benchmarks, rivaling leading proprietary models. Its architecture incorporates innovative attention techniques that significantly improve efficiency while maintaining strong performance. The model is optimized for agent-based workflows, allowing seamless integration with tools and automation systems. It also supports dual reasoning modes, enabling users to switch between quick responses and deeper analytical outputs. DeepSeek-V4 is fully open-source, providing flexibility for customization and deployment across various environments. Overall, it offers a powerful and scalable solution for modern AI development.

Aeron is an advanced, open-source technology for messaging and clustering that is specifically engineered to enable ultra-low-latency and fault-tolerant distributed systems, making it particularly beneficial for electronic trading and real-time data applications. Its primary goal is to achieve consistent microsecond-level latency and exceptionally high throughput, allowing applications to efficiently handle millions of messages each second without sacrificing reliability. The Aeron suite comprises several components, including Aeron Transport for high-performance unicast, multicast, and IPC messaging; Aeron Archive for rapid message recording and playback with zero data loss; and Aeron Cluster for ensuring fault-tolerant distributed state replication through a replicated log architecture. This brokerless framework minimizes both hardware requirements and operational expenses, providing flexibility for systems to operate on-premises, in cloud environments, or via hybrid solutions. Furthermore, Aeron is compatible with various programming languages, such as Java, C/C++, and .NET, thereby broadening its accessibility for developers. Additionally, its innovative architecture allows for seamless scalability, making it an ideal choice for projects with rapidly evolving demands.

The Microsoft Agent Framework is an open-source software development kit and runtime that assists developers in creating, orchestrating, and deploying AI agents alongside multi-agent workflows, utilizing programming languages like .NET and Python. By merging the straightforward agent abstractions found in AutoGen with the sophisticated capabilities of Semantic Kernel, it offers features such as session-based state management, type safety, middleware, telemetry, and extensive model and embedding support, thus providing a cohesive platform suitable for both experimentation and production settings. Additionally, it features graph-based workflows that empower developers with precise control over the interactions among multiple agents, enabling them to execute tasks and coordinate intricate processes efficiently, which facilitates structured orchestration in various scenarios, including sequential, concurrent, or branching workflows. Furthermore, the framework accommodates long-running operations and human-in-the-loop workflows by implementing robust state management, enabling agents to retain context, tackle complex multi-step problems, and function continuously over extended periods. This combination of features not only streamlines development but also enhances the overall performance and reliability of AI-driven applications.

Actian OpenROAD is a robust, database-oriented, object-driven fourth-generation rapid application development platform designed for the creation and deployment of essential, multi-tier business applications on both Windows and Linux systems. This environment empowers developers to swiftly design and implement high-performance, reliable applications while seamlessly interfacing with various databases, including Ingres, Microsoft SQL Server, and Oracle through ODBC, thereby accommodating a diverse array of enterprise data sources. A key focus of OpenROAD is to facilitate application modernization, enabling organizations to leverage and repurpose their existing business logic, which mitigates the expenses and risks associated with rewriting extensive amounts of legacy code. The platform offers tools for transforming outdated “green screen” ABF applications into contemporary user interfaces, encapsulating business logic into reusable services, and converting traditional client applications into web-based or mobile-optimized solutions utilizing technologies like HTML5, JavaScript, and WebView2. Additionally, it provides a comprehensive framework that supports integration with modern development practices, ensuring that businesses can adapt to evolving technological landscapes while preserving their foundational investments.

Azure DocumentDB is a versatile document database service that is compatible with MongoDB and designed to facilitate the development of AI-focused applications, streamline the migration of MongoDB workloads, and establish a consistent document database engine that can be easily transported. It offers robust support for hybrid and multicloud frameworks while ensuring top-notch performance, reliability, security, and management features, along with seamless integration with Azure AI tools. Derived from DocumentDB, which is an open-source engine managed at the Linux Foundation, Azure DocumentDB empowers developers with transparency and fosters community-driven enhancements, while eliminating constraints from restrictive licenses. It also supports well-known MongoDB skills, drivers, tools, APIs, and document formats such as BSON and JSON, as well as widely-used programming languages including Node.js, Python, Java, and .NET. Developers can create and test applications that are compatible with MongoDB in various environments, such as local, on-premises, and other cloud platforms, before deploying them to Azure DocumentDB, ensuring scalability and efficient management suitable for enterprise needs. This flexibility allows teams to innovate and adapt quickly to changing demands in the tech landscape.

Ornith-1.0 represents an innovative family of models tailored specifically for coding tasks that require agentic capabilities. This family encompasses a wide range of models, from the compact 9B Dense versions ideal for deployment on edge devices to the expansive 397B MoE frontier-scale models designed for peak performance, including variants such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built upon the foundational strengths of pretrained models like Gemma 4 and Qwen 3.5, Ornith-1.0 excels in achieving top-tier performance among open-source models that are similar in size when evaluated against coding benchmarks. A significant breakthrough of this model is its self-improving training framework, which effectively learns to produce both solution rollouts and the tailored scaffolds that direct those rollouts. Rather than depending on static, human-crafted harnesses, Ornith-1.0 perceives the scaffold as a dynamic entity that evolves alongside the policy, enabling the model to optimize both the orchestration of tasks and the resulting solutions in tandem. This dual optimization approach enhances the model's adaptability and effectiveness in real-world coding scenarios.

Gemini 3.5 Flash-Lite stands out as the quickest model within Google's Gemini 3.5 lineup, specifically engineered for tasks requiring low latency and for enhancing developer workflows that demand high throughput, including agentic search, document processing, coding, and extensive data analysis. It boasts an impressive output capacity of 350 tokens per second and marks a significant enhancement over earlier Flash-Lite iterations in terms of both quality and agentic capabilities. Developers have the flexibility to adjust the model's thinking level to suit the demands of the task at hand: minimal or low thinking allows for rapid processing of large volumes, while elevated thinking levels accommodate more intricate, multi-step workflows involving subagents. Furthermore, the model is equipped with built-in computational skills, enabling it to interact effectively with various digital environments across compatible platforms. Additionally, Gemini 3.5 Flash-Lite excels in coding, comprehending long contexts, and executing real-world tasks, consistently outperforming its predecessor, Gemini 3.1 Flash-Lite, in critical assessments and even exceeding the performance of Gemini 3 Flash on multiple benchmarks related to agentic functions and software engineering. This impressive performance highlights its potential to transform how developers approach complex workflows and data-intensive tasks.