Open Source TypeScript Software - Page 90
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TypeScript Software
Browse free open source TypeScript Software and projects below. Use the toggles on the left to filter open source TypeScript Software by OS, license, language, programming language, and project status.
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Jackson
Streamline your web application's authentication with Jackson
An open-source authentication and SSO (Single Sign-On) solution that simplifies enterprise authentication for SaaS applications. -
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Jasper
Jasper - A flexible and powerful issue reader for GitHub
You will be able to read, track and discover many active issues very flexibly by using Jasper in GitHub. It is enabled by a powerful function called "Stream" of Jasper. You can use the GitHub Search query to create various criteria, such as issues I created, pull requests of nodejs/node, bug-labeled issues, etc. to view issues and receive update notifications. In addition to unread issues, unread issue comments and review comments are highlighted in a clear and easy-to-understand manner. Unread comments are also displayed on a mini-map to help you keep track of the entire issue. Quickly see the issue's open/close, label, milestones and assignments. It also shows the review status of the pull request (approved, request changed, commented) along with the reviewer. You can search for locally stored issues with a subset of the GitHub Search query. In addition to searching for issues, this can also be used for navigation within Jasper. -
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Java Design Patterns Website
Next generation website for Java Design Patterns
This project is the VuePress-powered web front end for the well-known “java-design-patterns” project, which documents classic and modern design patterns in Java. Its purpose is to present that large body of content as a browsable, fast, static website with organized navigation, search, and pattern categorization. Instead of reading patterns only in GitHub markdown, users can consume them in a more pleasant documentation format with sections, sidebars, and themed pages. The site structure makes it easier to discover related patterns, see intent and applicability, and jump between creational, structural, and behavioral groups. Because it’s built on VuePress, it benefits from a static-site workflow, theming, and easy deployment to GitHub Pages or similar hosting. It’s a good example of taking a large technical repo and giving it a documentation-first UI so newcomers can learn patterns without getting lost. -
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JavaScript Tracker
A chrome extension tracks front-end JavaScript that uses DOM
A chrome extension tracks front-end JavaScript that uses DOM or jQuery APIs to manipulate html dom elements (e.g., change style, attach event listener) on web page at runtime. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Jenga Icons
Collection of adaptable icons designed for use in interfaces
Jenga Icons is a collection of adaptable icons designed for use in interfaces, diagrams, and other applications. The icon components can receive all the props that a standard SVG element can, which includes inline style objects, onClick handlers, and other properties. The Jenga icon family is easy to customize and truly conistent in scale and style. -
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Jest Preview
Debug your Jest tests. Effortlessly
Jest Preview has a mission. To make front-end developers' life easier. It's built with the mindset of Developer Experience first in mind. Write tests in Jest and see the changes reflects in browser in a few milliseconds. You can use Jest Preview with any testing libraries and frontend frameworks. Don't waste time guessing what is your UI looks like. Let's Jest Preview visualize it in a browser for you! When writing tests using Jest, we usually debug by reading the HTML code. Sometimes, the HTML is too complicated to visualize the UI in our head. jest-preview previews your Jest tests right in a browser, then you can see your actual UI visually, which helps you write and debug Jest tests faster. jest-preview is initially designed to work with Jest and react-testing-library. The package is framework-agnostic, and you can use it with any frontend frameworks and testing libraries. -
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Jovo Framework
The React for Voice and Chat, build apps for Alexa, Google Assistant
The multimodal experience platform enables professional teams to build and run apps that work across smart speakers, the web, mobile, and more. Fully customizable and open source. The Jovo product ecosystem allows you to build, test, and run powerful experiences for voice, chat, and web platforms. From local development to production, Jovo allows you to build robust experiences, faster. Build across devices and platforms and use all supported modalities thanks to the Jovo output template engine. Our component and plugin architecture makes it possible to make Jovo work for your specific use case, across projects. The Jovo Debugger and Test Suite enable you to build robust experiences that behave exactly how you want them to. The Jovo CLI makes it possible to deploy your project to different environments using stage specific configurations. -
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Kanba
Kanba is an open-source project management tool for modern teams
Kanba is a modern, open-source, self-hostable Trello-like project management tool aimed at solo developers, indie hackers, and small teams. It emphasizes simplicity, speed, and a distraction-free experience while offering core Kanban board functionality. Built with a modern stack—Next.js, Tailwind CSS, Supabase, and optional Stripe integration—it features dark/light modes, unlimited projects, team collaboration tools, and seamless deployment both locally and to platforms like Vercel. -
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Koa-pug
A Pug middleware for Koa
A Pug middleware for Koa. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Kodus
AI code reviews, just like your senior dev would do
Kodus-AI is a framework for building, training, and deploying intelligent agents and models, especially focusing on practical AI workflows for businesses and automation. It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. The platform often includes model management, scalable training workflows, and orchestration patterns that help teams move from research or prototypes to production-ready AI deployments. Through configurable pipelines and a focus on modularity, it supports experimentation while maintaining reproducibility and performance. Its tooling is typically designed to handle real-world imperatives like logging, monitoring, versioning, and hooking into operational infrastructure. -
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Koishi
Cross-platform chatbot framework made with love
Koishi is a cross-platform chatbot framework built for extensibility, performance, and practical bot management. It lets users create chatbots for platforms such as QQ, Telegram, Discord, Feishu, and other messaging services. The project includes a web console that makes setup, monitoring, plugin installation, and behavior control easier for non-expert users. Its ecosystem includes thousands of official and community plugins for adapters, databases, storage, web panels, state handling, and business features. Developers get a TypeScript-based framework with strong typing, unit-tested core behavior, and hot reloading for plugin development. Koishi works well for both lightweight helper bots and larger interactive applications that need a stable plugin architecture. -
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Kysely SQL
A type-safe TypeScript SQL query builder
Kysely is a type-safe TypeScript SQL query builder that provides an intuitive and autocompletion-friendly API. It allows developers to construct complex SQL queries with full type safety, reducing runtime errors and improving code maintainability. Kysely supports various SQL dialects and is compatible with Node.js, Deno, and browser environments. -
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LLM Scraper
Extract structured data from webpages using LLM-powered scraping
LLM Scraper is a TypeScript library designed to extract structured data from webpages using large language models. Instead of relying on fragile HTML selectors or manual parsing rules, the tool interprets webpage content with language models and converts it into structured data according to a defined schema. Developers can specify the data structure using tools such as Zod or JSON Schema, enabling the model to extract relevant information directly into typed objects. LLM Scraper integrates browser automation through Playwright, allowing it to load webpages and process their content before sending it to a language model for interpretation. Multiple content processing modes are supported, including raw HTML, cleaned HTML, Markdown, extracted text, screenshots, and custom inputs, making it adaptable to a wide range of scraping scenarios. LLM Scraper also provides streaming output and code generation capabilities that help developers build reusable scraping workflows. -
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LangGraph.js
Framework to build resilient language agents as graphs
LangGraphJS is a JavaScript framework designed to build stateful AI applications and autonomous agents using graph-based execution models. Developed as part of the LangChain ecosystem, the framework allows developers to represent complex AI workflows as graphs where nodes represent tasks and edges define the flow of execution. This structure makes it easier to implement long-running agents, multi-step reasoning pipelines, and workflows that require persistent state. LangGraphJS supports advanced capabilities such as branching logic, loops, and conditional execution, enabling developers to build sophisticated AI systems that can adapt to dynamic conditions. The framework integrates seamlessly with language models, tools, and external APIs, allowing agents to retrieve information and perform actions across different systems. Developers can also build applications that maintain conversation history and state across multiple interactions. -
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LangWatch
The platform for LLM evaluations and AI agent testing
LangWatch is an open-source observability and monitoring platform designed to help developers evaluate and improve applications built with large language models. The platform provides tools for tracking model interactions, analyzing prompt behavior, and identifying issues such as hallucinations, latency problems, or unexpected responses. By collecting telemetry data from AI applications, LangWatch allows developers to understand how their systems perform in real-world usage scenarios. The platform includes dashboards that visualize model behavior, enabling teams to monitor trends in response quality and reliability over time. It also provides evaluation tools that allow developers to test prompts and compare outputs across different models or configurations. Through integration with popular AI development frameworks, LangWatch can be embedded directly into AI pipelines to provide continuous monitoring and evaluation. -
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Languine
Translate your application with Languine CLI powered by AI.
Languine is an AI-powered localization platform designed to automate and streamline the translation process for applications, ensuring seamless integration within development workflows. It offers intelligent, context-aware translations across over 100 languages, maintaining brand voice and tone consistency. It provides a command-line interface and continuous integration/continuous deployment integration, allowing developers to manage translations directly or automate them within existing pipelines. Languine supports various file formats, including JSON, YAML, Markdown, and more, catering to diverse project requirements. It also features fine-tuning options, enabling customization of translations to align with specific brand nuances. Additionally, Languine offers a GitHub Action for automating localization directly within GitHub, ensuring translations stay synchronized with every commit and deployment. -
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Laravel Echo Server
Socket.io server for Laravel Echo
NodeJs server for Laravel Echo broadcasting with Socket.io. The CLI tool will help you set up a laravel-echo-server.json file in the root directory of your project. This file will be loaded by the server during start-up. You may edit this file later on to manage the configuration of your server. The Laravel Echo Server exposes a light HTTP API to perform broadcasting functionality. For security purposes, access to these endpoints from http referrers must be authenticated with an APP id and key. -
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Lenster
Lenster is a decentralized, and permissionless social media app
Lenster is a decentralized, and permissionless social media app built with Lens Protocol. -
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Lightdash
An open source alternative to Looker built using dbt
Lightdash instantly turns your dbt project into a full-stack BI platform. Analysts write metrics and Lightdash enables self-serve for the entire business. All of your fields in Lightdash are defined in your dbt project making it super easy to keep all of your business logic in one place. Use the Lightdash CLI with your favourite text editor to test, preview & save your changes in Lightdash. With just a few clicks, you can create beautiful charts from the data you’ve added to your Lightdash project. In Lightdash you manage everything as code, bringing productivity & governance to your BI tool. Build charts & dashboards to share key metrics with the team. Added context makes all the difference! SQL for the experts & intuitive UI for the rest - with Lightdash, everyone is an analyst! With project-based roles & permissions, you can easily invite your team to collaborate. -
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LiteParse
A fast, helpful, and open-source document parser
LiteParse is an open-source lightweight parsing library designed to extract structured data from unstructured text using large language models in an efficient and cost-effective manner. It focuses on simplifying the process of turning raw text into structured outputs such as JSON by providing a streamlined interface for prompt-based parsing. The system is designed to minimize overhead, making it suitable for applications where performance and cost are critical considerations. LiteParse supports integration with multiple language models, allowing developers to choose the best balance between accuracy and efficiency. It also includes mechanisms for validation and error handling, ensuring that outputs conform to expected schemas and reducing the need for manual postprocessing. The library is particularly useful for tasks such as data extraction, document processing, and building pipelines that require structured outputs from natural language input. -
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Liveblocks
Liveblocks gives you the building blocks and infrastructure
Liveblocks is an open-source collaboration infrastructure and toolkit that enables developers to integrate real-time collaborative features into web and mobile applications with minimal effort. It provides building blocks like multiplayer cursors, comments, notifications, and AI-agent hooks that can be composed to support shared experiences such as collaborative editing, synchronized state, or embedded AI collaboration within apps. Rather than building real-time synchronization from scratch, developers can leverage Liveblocks’ SDKs and APIs to focus on their product’s unique logic while relying on robust back-end support for distributed state and event propagation. The platform is designed to work seamlessly with modern frameworks, offering pre-built components and integration guides that reduce complexity and accelerate development of features that would otherwise require substantial real-time engineering. -
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LlamaGPT
Self-hosted ChatGPT-like chatbot powered by Llama models locally
LlamaGPT is a self-hosted chatbot application designed to provide a conversational AI experience similar to ChatGPT while running entirely on local hardware. It uses Llama-based large language models to generate responses and operate without requiring external AI services. Because the system runs locally, it keeps all interactions and data on the user's device, enabling a fully private environment for experimentation with AI chat interfaces. LlamaGPT includes both a user interface and an API component that work together to deliver a web-based chat experience backed by local language models. It supports models such as Llama 2 and Code Llama, allowing users to perform both general conversation and programming-related tasks. It integrates components built around the llama.cpp ecosystem to efficiently run models on consumer hardware. It can be deployed using containerized setups and supports environments ranging from personal computers to self-hosted servers. -
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LlamaIndexTS
Data framework for your LLM applications
LlamaIndexTS is a data framework designed for Large Language Model (LLM) applications, focusing on server-side solutions to manage and process data efficiently. -
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Lobe UI
An open-source UI component library for building AIGC web apps
Lobe UI is an open source UI component library specifically designed for building AI-generated content (AIGC) web applications, offering a modern toolkit tailored to chatbots, AI interfaces, and intelligent systems. It is built with React and TypeScript and integrates closely with Ant Design, allowing developers to leverage familiar component patterns while extending them for AI-centric use cases. The library includes specialized components and configurations for handling features like motion, theming, and internationalization, which are essential in dynamic AI-driven interfaces. It is optimized for modern frameworks such as Next.js and supports server-side rendering with proper configuration, making it suitable for production-grade applications. Lobe UI is part of a broader ecosystem that includes tools for charts, icons, and AI-related utilities, enabling developers to build complete AI products with consistent design. -
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Localflare
local cloudflare
Localflare is a local development dashboard for Cloudflare Workers that lets you visualize and interact with your Worker resources while you build. Instead of juggling multiple CLIs and scattered logs, it gives you a unified UI for common Cloudflare primitives like D1 databases, KV namespaces, R2 buckets, Durable Objects, and Queues. The D1 experience is more than a viewer: it includes a SQL editor and a data browser with inline editing, filtering, sorting, bulk operations, and even dummy data generation so you can iterate quickly. For KV and R2 it provides practical file-and-record management, letting you view, update, delete, upload, and download as part of your normal dev loop. It also includes tools for testing queue behavior by sending messages and inspecting results, which helps validate event-driven logic without deploying.
