Trending Open Source Projects
Discover trending open source projects with rapid star growth. AI summaries help you stay ahead of the curve.
GitHub's Spec Kit: Accelerate Development with AI-Driven Specs
Discover GitHub's Spec Kit, an innovative open-source toolkit enabling Spec-Driven Development. This project leverages AI coding agents to transform specifications into executable code, significantly streamlining the software development lifecycle. Learn how to define project principles, create detailed specs, generate implementation plans, and automate task execution using popular AI tools like Claude Code and GitHub Copilot. Spec Kit focuses on intent-driven development and multi-step refinement, promising to build high-quality software faster. Explore its core philosophy, development phases, and practical CLI commands for a hands-on approach to modern software engineering.
Tongyi DeepResearch: Alibaba's Open-Source AI Agent
Explore Tongyi DeepResearch, Alibaba's groundbreaking open-source AI agent. This 30.5 billion parameter model, with an efficient 3.3 billion parameter activation per token, excels in long-horizon, deep information-seeking tasks. Demonstrating state-of-the-art performance across various agentic search benchmarks like Humanity's Last Exam and BrowserComp, Tongyi DeepResearch builds on advancements from the WebAgent project. Discover its features, including automated synthetic data generation, continual pre-training on agentic data, and robust reinforcement learning techniques. Learn how to set up and run the model for your own deep research needs, leveraging its compatibility with ReAct and Heavy inference paradigms.
NVSTLY/icons: A Treasure Trove of Financial Logos
Discover the NVSTLY/icons GitHub repository, a comprehensive and actively maintained collection of transparent logos for NYSE and NASDAQ listed companies, major cryptocurrencies, altcoins, meme coins, and country flags for forex tickers. This open-source project aims to provide high-quality, often customized, visual assets essential for financial applications and platforms. Learn about the project's structure, its ongoing development goals, and how you can contribute to this valuable resource. Whether you're a developer, a designer, or a finance enthusiast, NVSTLY/icons offers a readily available asset library to enhance your projects.
EdgarTools: Python SEC EDGAR Data Extraction Made Easy
Unlock the power of SEC EDGAR filings with EdgarTools, a Python library designed for effortless data extraction and analysis. This open-source project dramatically simplifies accessing company financials, insider trades, and fund holdings, allowing you to retrieve vital information in mere lines of code. Discover how EdgarTools streamlines complex financial data parsing, making it accessible for developers and analysts alike. Learn about its intuitive API, comprehensive filing support, and how it prepares data for AI pipelines. Dive into quick-start guides and explore real-world solutions for financial analysis.
SEC-Edgar: Download SEC Filings Easily
Unlock the power of the SEC's EDGAR database with SEC-Edgar, an open-source Python library. This project simplifies the often cumbersome process of downloading periodic reports, filings, and forms for individual companies or even multiple entities simultaneously. Whether you're a financial analyst, student, or researcher, SEC-Edgar provides a streamlined approach to accessing crucial financial data. Learn how to install and utilize this valuable tool to fetch filings with just a single command, saving you significant time and effort in your data collection endeavors.
GitHub API: Render Markdown with Code
Discover how to leverage the GitHub REST API to transform Markdown documents into HTML or plain text directly within your applications. This guide details the specific endpoints, parameters, and code examples for rendering Markdown, including GitHub Flavored Markdown (GFM) with context-aware linking. Learn how to authenticate, set necessary headers, and utilize both JSON and raw text modes for seamless integration into your open-source workflows. Whether you're building documentation tools, creating custom interfaces, or automating content generation, mastering the Markdown API can significantly enhance your development process.
Marked.js: Fast Markdown Parser for Your Projects
Discover Marked.js, a blazing-fast JavaScript library that efficiently parses and compiles Markdown into HTML. Built for speed and versatility, Marked runs seamlessly in browsers, on servers, and via its command-line interface. Explore its powerful options, extensibility features, and widespread adoption across over 1.5 million projects. Whether you're building web apps, documentation, or command-line tools, Marked.js offers a robust and lightweight solution for all your Markdown needs. Learn how to integrate it into your workflow and leverage its capabilities for cleaner, more efficient content rendering.
Build Your Own LLM Server in a Week
Dive into the world of Large Language Models with Tiny LLM, a practical, open-source course designed for systems engineers. Learn to build and optimize LLM serving infrastructure from scratch using MLX on Apple Silicon. This week-long journey covers everything from fundamental matrix operations to advanced C++/Metal kernels and request batching for high throughput. Whether you're curious about LLM internals or aiming to deploy your own, Tiny LLM offers clear guidance and community support to demystify LLM serving.
Automate Xiaohongshu with Open Source MCP Project
Discover the 'xiaohongshu-mcp' project, a powerful open-source tool that enables programmatic interaction with Xiaohongshu (Little Red Book). This project, built with Go, allows you to automate various tasks including logging in, publishing content (text and images), searching for posts, retrieving feed details with engagement metrics, and posting comments. It follows the Model Context Protocol (MCP) standard, making it compatible with AI clients like Claude Code CLI, Cursor, and VSCode. Whether you're a content creator looking to streamline your workflow or a developer exploring AI integrations, this project offers a robust solution for automating your Xiaohongshu presence.
Koog: Kotlin Framework for AI Agents
Discover Koog, the official Kotlin framework for building robust, scalable, and production-ready AI agents. This open-source project empowers developers to create AI agents across diverse platforms, including backend services, Android, iOS, JVM, and web browsers. Leveraging JetBrains' AI expertise, Koog offers solutions for complex LLM challenges, featuring pure Kotlin implementation, MCP integration, embedding capabilities, custom tool creation, and a flexible graph workflow system. Learn how Koog can streamline your AI agent development with its multiplatform support and array of ready-to-use components.