Open Source TypeScript Software - Page 88
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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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Elastic UI Framework
Elastic UI Framework
The Elastic UI framework (EUI) is a design library in use at Elastic to build internal products that need to share our aesthetics. It distributes UI React components and static assets for use in building web layouts. Uses high contrast, color-blind safe palettes and is tested with most assistive technology. Configurable enough to meet the needs of a wide array of contexts while maintaining brand and low-level consistency. Code is friendly to the novice and expert alike. The Elastic UI Framework is a collection of React UI components for quickly building user interfaces at Elastic. The primary goal of this library is to provide reusable UI components that can be used throughout Elastic's web products. As React components, they remove CSS from the process of building UIs. As a single source of truth, the framework allows our designers to make changes to our aesthetic directly in the code. -
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Electron Vite React
Electron + Vite + React + Sass boilerplate
A modern boilerplate for building Electron apps with React and Vite, optimized for fast development and high performance. -
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Empirical
Test and evaluate LLMs and model configurations
Empirical is the fastest way to test different LLMs and model configurations, across all the scenarios that matter for your application. -
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EthereumJS Monorepo
Monorepo for the Ethereum VM TypeScript Implementation
This repository holds various protocol building blocks of the Ethereum blockchain execution layer and is managed by the Ethereum Foundation JavaScript team. There is a TypeScript implementation of the Ethereum Virtual Machine (EVM) ready to be used in Node.js or a browser environment, implementations of core structural blockchain building blocks like an Ethereum Tx, Block or Blockchain as well as a Trie (Merkle Patricia Tree) and devp2p (execution networking layer) implementation. All libraries are bound together by the core Common library keeping track of chain specifics and hardfork changes. They are complemented by helper packages like RLP for data encoding/decoding or Util, providing helper functionalities like (byte) conversion, signatures, types and others. Finally, the EthereumJS Execution Client (EthereumJS) has been in active development for some time now. It already serves a variety of purposes like testing, research (e.g. EIPs) and developer tooling. -
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Eve
Better tools for thought
Eve is a programming language and IDE based on years of research into building a human-first programming platform. From code embedded in documents to a language without order, it presents an alternative take on what programming could be - one that focuses on us instead of the machine. We've made tremendous advancements since the early days of programming, but the modern form still forces us into the role of bit shifting machines. Programming has always been for us - the humans tapping at keyboards. The computer doesn't care what syntax or semantics we use or how error messages are phrased. Those are for you and me. And this is how we treat ourselves. -
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EventCatalog
Open source tool for documenting and exploring event-driven systems
EventCatalog is an open source documentation tool designed for event-driven architectures. It helps teams organize, document, and understand complex systems by mapping events, services, domains, and flows in one place. Instead of scattered knowledge, it creates a central, searchable catalog that improves visibility and collaboration. Documentation is generated and maintained automatically, making it easier to keep systems up to date as they evolve. With built-in discoverability features, developers and stakeholders can quickly explore how services interact and identify dependencies. EventCatalog supports extensibility through APIs and integrations, allowing teams to adapt it to their workflows. By bringing structure and governance to distributed systems, EventCatalog reduces confusion and helps teams make informed decisions faster. It is widely used by organizations to simplify event-driven systems and improve communication across teams. -
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Ever Gauzy
Open Business Management Platform
Ever Gauzy is an open-source business management platform that includes time tracking, human resource management, project monitoring, and productivity analytics. It’s designed for remote teams and enterprises looking to streamline operations while keeping full control over their data. Gauzy supports both cloud and self-hosted deployment options. -
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Every Code
Local AI coding agent CLI with multi-agent orchestration tools
Every Code (often referred to simply as Code) is a fast, local AI-powered coding agent designed to run directly in the terminal environment. It is a community-driven fork of the Codex CLI, with a strong emphasis on improving real-world developer ergonomics and workflows. Every Code enhances the traditional coding assistant model by introducing multi-agent orchestration, allowing multiple AI agents to collaborate, compare solutions, and refine outputs in parallel. It supports integration with various AI providers, enabling users to route tasks across different models depending on their needs. Every Code also includes browser integration and automation capabilities, extending its usefulness beyond simple code generation into more complex development tasks. Customization is a key focus, with support for theming, configurable settings, and reasoning controls that allow developers to fine-tune how the agent behaves. -
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Express Zod API
A Typescript library to help you get an API server up and running
Start your API server with I/O schema validation and custom middlewares in minutes. I made this library because of the often repetitive tasks of starting a web server API with the need to validate input data. It integrates and provides the capabilities of popular web servers, logger, validation, and document solutions. Therefore, many basic tasks can be accomplished faster and easier. -
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income dataset, used for predicting whether an individual’s income exceeds $50K/yr based on their census data. The census data contains features such as age, education level, and occupation for each individual. Overview gives users a quick understanding of the distribution of values across the features of their dataset(s). Uncover several uncommon and common issues such as unexpected feature values, missing feature values for a large number of observation, training/serving skew and train/test/validation set skew. -
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FastImage
FastImage, performant React Native image component.
React Native's Image component handles image caching like browsers for the most part. If the server is returning proper cache control headers for images you'll generally get the sort of built in caching behavior you'd have in a browser. Scale the image uniformly (maintain the image's aspect ratio) so that both dimensions (width and height) of the image will be equal to or less than the corresponding dimension of the view (minus padding). Scale the image uniformly (maintain the image's aspect ratio) so that both dimensions (width and height) of the image will be equal to or larger than the corresponding dimension of the view (minus padding). Scale width and height independently, This may change the aspect ratio of the src. Do not scale the image, keep centered. -
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FastMCP Framework
A TypeScript framework for building MCP servers
FastMCP is a TypeScript framework aimed at building servers compliant with the Model Context Protocol (MCP), enabling LLMs (large language models) or other clients to access tools, resources, and context through a defined protocol. It allows developers to define “tools” (basically operations or services) and “resources” that can be fetched or interacted with, and supports multiple transport mechanisms (HTTP streaming, SSE, etc) for client-server communication. Because it’s built in TypeScript and designed with modern deployment targets (Node.js, Cloudflare Workers, etc), it aims to support production-ready MCP servers with strong type safety and extensibility. Developers can use it to build server back-ends that expose data or capabilities to LLM applications in a standardized way, reducing the custom boilerplate required for integrating with AI systems. It includes tooling for development (examples, CLI) and is open-source, inviting contributions and extensions. -
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Faust.js
The Headless WordPress Toolkit
Faust.js is an open-source toolkit designed to simplify the development of headless WordPress websites using modern JavaScript frameworks such as Next.js and React. It provides developers with a structured set of tools that bridge WordPress content management with frontend frameworks, enabling teams to build high-performance decoupled websites while still relying on WordPress as the backend CMS. The toolkit addresses many of the challenges associated with headless WordPress development, including authentication, preview functionality, and data fetching between the frontend and the WordPress backend. Faust.js integrates closely with technologies such as WPGraphQL and Apollo Client, which allow developers to query WordPress content through a GraphQL API instead of traditional PHP templates. -
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Fig Autocomplete
IDE-style autocomplete for your existing terminal & shell
Fig Autocomplete is a tool that brings IDE‑style autocomplete to your existing terminal and shell, providing context‑aware suggestions, subcommand options, arguments, descriptions, and themes to enhance your command‐line experience. Amazon Q for command line uses the Accessibility API on Mac to position the window, and integrates with your shell to read what you've typed. Edit your spec in TypeScript in the src/ folder. In dev mode, specs are read from the build folder, and generators run every keystroke. On save, specs are compiled to the build/ folder. -
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Figma Code Connect
A tool for connecting your design system components
Figma Code Connect is an open-source tool that enhances collaboration between designers and developers by synchronizing design components with source code in real time. Instead of treating design files and codebases as separate artifacts, it creates a continuous link so when a designer updates a UI element in Figma, developers see corresponding code changes or annotations immediately, making handoffs more precise and frictionless. The system supports multiple frameworks and languages, enabling teams to generate usable code snippets, style values, and component metadata from visual designs without manual translation. This approach reduces miscommunication and repetitive tasks that traditionally occur between design and engineering teams, speeding up iteration cycles while preserving fidelity to the original design intent. It can be integrated into development environments or build tooling so design updates automatically propagate into code patterns or UI specs. -
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FingerprintJS Server API Node.js SDK
Node.js wrapper for FingerprintJS Server API
Node.js wrapper for FingerprintJS Server API. This SDK might be also compatible, however not actively tested, with JavaScript "edge" runtimes that do not support all Node APIs, for example, Vercel Edge Runtime, or Cloudflare Workers. To make it work, replace the SDK's built-in fetch function (which relies on Node APIs) with the runtime's native fetch function. -
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Firestore for Google Apps Scripts
A Google Apps Script library for accessing Google Cloud Firestore
This library allows a user (or service account) to authenticate with Firestore and edit their Firestore database within a Google Apps Script. The easiest way to use this library is to create a Google Service Account for your application and give it read/write access to your datastore. Giving a service account access to your datastore is like giving access to a user's account, but this account is strictly used by your script, not by a person. -
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Fractals
Fractals is a recursive task orchestrator for agent swarm
Fractals is an experimental open-source framework designed to orchestrate complex tasks using swarms of AI agents organized in a recursive structure. The system takes a high-level goal and decomposes it into a hierarchy of smaller subtasks, forming a self-similar tree that resembles a fractal structure. Each leaf node of this tree represents a specific executable task that can be processed independently by an AI agent. The framework runs these subtasks in isolated Git worktrees so agents can work on separate components of a project without interfering with one another. By coordinating these agents through a recursive task decomposition strategy, the system allows large problems to be solved collaboratively by multiple AI processes. The architecture is designed to experiment with large-scale agent coordination and distributed problem solving. -
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Fulling
Full-stack Engineer Agent. Built with Next.js, Claude, shadcn/ui
Fulling is an open-source AI-powered development environment designed to function as an autonomous full-stack engineering assistant. The platform provides a sandboxed workspace where developers can build complete applications with the help of an integrated AI coding agent. Instead of manually configuring development environments, the system automatically provisions the required infrastructure including a Linux environment, database services, and development tools. It integrates an AI pair programmer that can generate code, implement features, and assist with debugging tasks through natural language instructions. The environment also includes web-based terminals, file management tools, and version control capabilities to support collaborative software development workflows. Developers can connect external services by simply providing API credentials, allowing the AI system to automatically integrate features such as authentication or payment processing. -
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Gaea Editor
Design websites in your browser
Gaea Editor is a rich, web-based content editor designed for building and managing structured documents with a focus on flexibility and extensibility. It provides a block-based editing system where users can create complex layouts using modular components, similar to modern visual editors. The project emphasizes developer control, allowing customization of editor behavior, plugins, and data structures. It supports rich text formatting, media embedding, and dynamic content generation, making it suitable for content management systems and applications requiring advanced editing capabilities. The architecture is designed to separate content structure from presentation, enabling better maintainability and scalability. It likely includes APIs for integrating with backend systems and storing content in structured formats. Overall, gaea-editor serves as a powerful foundation for building customizable editing experiences on the web. -
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Gatsby video
The transparent, distributed video sharing platform
Gatsby is a video-sharing platform based on peer-to-peer file distribution provided by IPFS and WebRTC. To build the repository, simply use yarn build while in the project's base directory. This should build each package in turn. To then launch the site, you can use yarn dev to initiate a development server that supports hot-reloading, or yarn start to run an optimized build. -
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Gemini Fullstack LangGraph Quickstart
Get started w/ building Fullstack Agents using Gemini 2.5 & LangGraph
gemini-fullstack-langgraph-quickstart is a fullstack reference application from Google DeepMind’s Gemini team that demonstrates how to build a research-augmented conversational AI system using LangGraph and Google Gemini models. The project features a React (Vite) frontend and a LangGraph/FastAPI backend designed to work together seamlessly for real-time research and reasoning tasks. The backend agent dynamically generates search queries based on user input, retrieves information via the Google Search API, and performs reflective reasoning to identify knowledge gaps. It then iteratively refines its search until it produces a comprehensive, well-cited answer synthesized by the Gemini model. The repository provides both a browser-based chat interface and a command-line script (cli_research.py) for executing research queries directly. For production deployment, the backend integrates with Redis and PostgreSQL to manage persistent memory, streaming outputs, & background task coordination. -
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Gemma 4 Browser Assistant
On-device AI agent Chrome extension powered by Transformers.js
Gemma 4 Browser Assistant is an open-source browser extension that embeds an AI assistant directly into the browsing experience, powered by on-device machine learning models. It uses Transformers.js and Gemma models to run inference locally in the browser, eliminating the need for external servers and preserving user privacy. The extension includes a side panel interface that allows users to interact with the AI while browsing, enabling tasks such as summarizing pages and answering questions. It can access and analyze page content, browsing history, and tab state to provide contextual assistance. The architecture follows modern browser extension standards, with separate components for background processing, content scripts, and UI rendering. It also supports tool-calling capabilities, allowing the AI to perform actions such as navigating tabs or highlighting elements. Overall, it demonstrates how to build fully local, agent-based assistants inside web browsers. -
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Gemma Chat
Local AI chat + coding agent for Apple Silicon, powered by Gemma 4
Gemma Chat is a local-first AI chat and coding assistant designed to run fully on-device, particularly optimized for Apple Silicon machines. It leverages Google’s Gemma family of lightweight language models, which are built on the same underlying technology as Gemini and designed for efficient local inference and reasoning tasks. The project enables users to interact with AI through a chat interface while also supporting code generation and editing workflows. It emphasizes privacy and independence by avoiding cloud dependencies, allowing all interactions and data to remain local. The system integrates model selection and execution directly into the app, giving users control over performance and behavior. It is particularly aligned with the “vibe coding” approach, where users iteratively build and modify projects through conversational prompts. Overall, gemma-chat provides a streamlined, developer-focused environment for local AI experimentation and productivity. -
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GenAIScript
Automatable GenAI Scripting
JavaScript-ish environment with convenient tooling for file ingestion, prompt development, and structured data extraction. A Microsoft tool that generates AI-powered text based on prompts, useful for content creation and automation.
