Business Software for TypeScript

CodeScene's powerful features go beyond traditional code analysis. Visualize and evaluate all the factors that influence software delivery and quality, not just the code itself. Make informed, data-driven decisions based on CodeScene’s actionable insights and recommendations. CodeScene guides developers and technical leaders to: - Get a holistic overview and evolution of your software system in one single dashboard. - Identify, prioritize, and tackle technical debt based on return on investment. - Maintain a healthy codebase with powerful CodeHealth™ Metrics, spend less time on rework and more time on innovation. - Seamlessly integrate with Pull Requests and editors, get actionable code reviews and refactoring recommendations. - Set Improvement goals and quality gates for teams to work towards while monitoring the progress. - Support retrospectives by identifying areas for improvement. - Benchmark performance against personalized trends. - Understand the social side of the code, measure socio-technical factors like key personnel dependencies, knowledge sharing and inter-team coordination.

amCharts is a set of JavaScript libraries and tools for all your data visualization needs on the web. amCharts Charts supports classic charts like Line, Area, Column, Bar, Pie, XY, Scatter, Candlestick, Radar, Polar, and OHLC as well as more “exotic” ones like Gauges, Funnels, Gantt, Chord and Sankey diagrams, Force-Directed Trees, TreeMap, Sunburst Chart and more. amCharts Maps offers fully interactive adaptive world or local country maps and map charts. Additionally, amCharts provides a specialized Stock Chart tailored for visualization and analysis of stock and other time-based data. All products are available for free (with a small backlink) for any type of use, as well as in paid commercial form covering all kinds of usage scenarios.

Leverage the language-specific syntax and error highlighting, along with features like code formatting, completion, and instant documentation to enhance your coding experience. Utilize intelligent search to swiftly navigate to any class, file, symbol, or even specific IDE actions and tool windows. With just one click, you can access declarations, super methods, tests, usages, implementations, and more. Experience incredibly fast navigation within your Rails project, supported by an MVC-based project view, as well as diagrams illustrating model, class, and gem dependencies. Adhere to community best practices through code inspections that validate your code for various potential issues, offering immediate improvements via quick-fix options. Automated refactorings ensure that your code remains clean and maintainable, while Rails-aware features facilitate project-wide modifications: for instance, renaming a controller will automatically adjust the corresponding helper, views, and tests. This comprehensive set of tools allows for a more efficient workflow, enabling developers to focus on building robust applications without getting bogged down by mundane tasks.

Real-time error detection and fix suggestions, along with swift and secure refactoring options that allow for easy one-step undo, intelligent code completion, the identification of unused code, and helpful documentation prompts, assist all Go developers—from beginners to seasoned experts—in crafting fast, efficient, and dependable code. Delving into and deciphering team projects, legacy code, or unfamiliar systems can be time-consuming and challenging. GoLand's navigation tools facilitate seamless movement through code by allowing instant transitions to shadowed methods, various implementations, usages, declarations, or interfaces tied to specific types. You can easily navigate between different types, files, or symbols, and assess their usages, all while benefiting from organized grouping by the type of usage. Additionally, integrated tools enable you to run and debug applications effortlessly, as you can write and test your code without needing extra plugins or complex configurations, all within the IDE environment. With a built-in Code Coverage feature, you can ensure that your tests are thorough and comprehensive, preventing any critical areas from being overlooked. This comprehensive set of tools ultimately streamlines the development process and enhances overall productivity.

yFiles is a versatile library for graph and network visualization and analysis. It offers powerful rendering, editing, and automatic layout features for complex diagrams—including organizational charts, flowcharts, and IT infrastructures. With advanced layout algorithms and robust interactivity, yFiles helps developers build scalable, clear visualizations across web, desktop, and mobile platforms. Supporting HTML/JavaScript, Java, and .NET, it’s widely used in industries like telecommunications, finance, and life sciences to clarify complex processes and data relationships. yFiles is the most capable and mature graph visualization SDK available commercially. The company behind yFiles was founded in 2000. yWorks has brought together graph visualization techniques and algorithms from academia, making it available to software developers to integrate perfect diagramming into their applications.

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.

JointJS+ is a diagramming toolkit, a commercial extension of JointJS, that allows developers and companies of any size to create advanced Low-Code/No-Code and visual applications. Developers can utilize pre-built UI plugins to build custom applications, customize user interfaces and embed elements according to their requirements. Businesses can utilize JointJS+ to integrate interface with workflow systems, build business process management, diagramming, and project management applications, and more. It provides a programmer’s kit, which allows users to undo or redo changes, conduct graph manipulation, and validate data. Other features include custom shapes, JSON import/export, interactive diagrams, read-only view, automatic layouts, inline text editor, path editor, zoom, charts, and more. Start a risk-free 30-day trial to experience the power and flexibility of JointJS+.

Playcode is an AI-powered platform that allows users to build websites, apps, landing pages, internal tools, mobile sites, and simple games without writing code. Instead of starting with templates or drag-and-drop blocks, users describe what they want in plain language and let AI create a custom project in minutes. The system can ask follow-up questions about style, pages, content, and functionality, making the building process feel more like a conversation than a form. Playcode generates visuals such as logos, hero images, icons, and video backgrounds while also creating the layout, content, and code needed for the project. Users can publish instantly with included hosting, use a Playcode subdomain, or connect a custom domain with HTTPS. The platform also includes a visual editor for changing text, colors, fonts, spacing, sections, and other design elements without needing a developer. Playcode Cloud supports real backend functionality, persistent storage, databases, dedicated machines, rollback, and reliable hosting for more advanced projects. Users can access and export the full code, giving them control over their project and the flexibility to host it elsewhere if needed. Playcode is built for people who want a fast, affordable, and flexible way to launch custom digital products without relying on agencies, programmers, or traditional website builders.

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.

Mistral 7B is a language model with 7.3 billion parameters that demonstrates superior performance compared to larger models such as Llama 2 13B on a variety of benchmarks. It utilizes innovative techniques like Grouped-Query Attention (GQA) for improved inference speed and Sliding Window Attention (SWA) to manage lengthy sequences efficiently. Released under the Apache 2.0 license, Mistral 7B is readily available for deployment on different platforms, including both local setups and prominent cloud services. Furthermore, a specialized variant known as Mistral 7B Instruct has shown remarkable capabilities in following instructions, outperforming competitors like Llama 2 13B Chat in specific tasks. This versatility makes Mistral 7B an attractive option for developers and researchers alike.

The barKoder SDK for Barcode Scanner will transform your users' smartphones and tablets into rugged barcode scanners without the need to purchase & maintain expensive hardware with a short lifespan. barKoder can decode more than 30 barcode symbols, including 1D (Codabar, Code 25, Code 39. Code 93, Code 128, EAN, Interleaved 2of5, MSI Plessey, Pharmacode, Telepen, UPC, etc.) & 2D barcodes (Aztec Code, Data Matrix, PDF417, QR Code, etc.) across Android, iOS, Linux, Flutter The latest version of barKoder's barcode scanner SDK features a revolutionary Batch MultiScan engine that allows for the scanning of multiple barcodes simultaneously. It also includes the ultra-powerful DPM Mode for scanning Data Matrix code engraved using Direct Part Marking methods.

In honor of Cleopatra, whose magnificent fate concluded amidst the tragic incident involving a snake, we are excited to introduce Codestral Mamba, a Mamba2 language model specifically designed for code generation and released under an Apache 2.0 license. Codestral Mamba represents a significant advancement in our ongoing initiative to explore and develop innovative architectures. It is freely accessible for use, modification, and distribution, and we aspire for it to unlock new avenues in architectural research. The Mamba models are distinguished by their linear time inference capabilities and their theoretical potential to handle sequences of infinite length. This feature enables users to interact with the model effectively, providing rapid responses regardless of input size. Such efficiency is particularly advantageous for enhancing code productivity; therefore, we have equipped this model with sophisticated coding and reasoning skills, allowing it to perform competitively with state-of-the-art transformer-based models. As we continue to innovate, we believe Codestral Mamba will inspire further advancements in the coding community.

Introducing Mistral NeMo, our latest and most advanced small model yet, featuring a cutting-edge 12 billion parameters and an expansive context length of 128,000 tokens, all released under the Apache 2.0 license. Developed in partnership with NVIDIA, Mistral NeMo excels in reasoning, world knowledge, and coding proficiency within its category. Its architecture adheres to industry standards, making it user-friendly and a seamless alternative for systems currently utilizing Mistral 7B. To facilitate widespread adoption among researchers and businesses, we have made available both pre-trained base and instruction-tuned checkpoints under the same Apache license. Notably, Mistral NeMo incorporates quantization awareness, allowing for FP8 inference without compromising performance. The model is also tailored for diverse global applications, adept in function calling and boasting a substantial context window. When compared to Mistral 7B, Mistral NeMo significantly outperforms in understanding and executing detailed instructions, showcasing enhanced reasoning skills and the ability to manage complex multi-turn conversations. Moreover, its design positions it as a strong contender for multi-lingual tasks, ensuring versatility across various use cases.

The Mixtral 8x22B represents our newest open model, establishing a new benchmark for both performance and efficiency in the AI sector. This sparse Mixture-of-Experts (SMoE) model activates only 39B parameters from a total of 141B, ensuring exceptional cost efficiency relative to its scale. Additionally, it demonstrates fluency in multiple languages, including English, French, Italian, German, and Spanish, while also possessing robust skills in mathematics and coding. With its native function calling capability, combined with the constrained output mode utilized on la Plateforme, it facilitates the development of applications and the modernization of technology stacks on a large scale. The model's context window can handle up to 64K tokens, enabling accurate information retrieval from extensive documents. We prioritize creating models that maximize cost efficiency for their sizes, thereby offering superior performance-to-cost ratios compared to others in the community. The Mixtral 8x22B serves as a seamless extension of our open model lineage, and its sparse activation patterns contribute to its speed, making it quicker than any comparable dense 70B model on the market. Furthermore, its innovative design positions it as a leading choice for developers seeking high-performance solutions.

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.

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.

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.

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.

TailwindAdmin is a powerful, React and Next.js-based admin dashboard template meticulously designed by WrapPixel to accelerate development and enhance UI quality. It combines the efficiency of Tailwind CSS with pre-built, responsive components and AI-driven tools to streamline dashboard creation. The integrated AI Builder allows developers to auto-generate complex elements like forms, tables, and charts using ShadCN UI, saving hours of manual coding. With over 100+ UI elements, 45+ page templates, and multiple layout modes—including dark, horizontal, and RTL—TailwindAdmin adapts easily to any design requirement. Its comprehensive documentation and intuitive structure make it ideal for both beginners and advanced developers. Seamless integration with Supabase, Firebase, and NextAuth ensures effortless authentication and scalability across web apps. The Pro version adds premium features such as animated components, Figma files, and advanced charts for enterprise-grade projects. Trusted by 1,000+ developers and agencies worldwide, TailwindAdmin empowers teams to deliver polished, data-rich dashboards at record speed.

Remotion is a comprehensive framework for programmatic video creation that enables users to generate authentic MP4 files and other video formats using React code, conceptualizing video as a sequence of frames while rendering components over time. By utilizing established web technologies such as CSS, Canvas, SVG, and JavaScript, it allows for the creation, animation, and parameterization of dynamic content that can incorporate data, APIs, and interactive elements. The framework features several essential tools, including Remotion Studio for previewing and rendering videos, Remotion Player for embedding videos and interacting with data in real-time, and Remotion Lambda for efficient scalable rendering, whether on a server or serverless architecture. Additionally, it offers components like timeline editing and recorder tools, along with starter templates for developers to create custom video editing applications utilizing React and TypeScript. Notably, Remotion facilitates scalable rendering both locally and in the cloud, supports dynamic property editing through a user-friendly visual interface, and allows for detailed animations via React hooks and interpolation utilities, making it a versatile choice for video creation. This empowers developers to harness the full potential of video programming while maintaining a seamless workflow.

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.

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.

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.