AIBit-Discover Open Source Projects | AIBit-Discover Open Source Projects

September 18, 2025

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.

Sep 14, 2025

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.
Sep 14, 2025

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.
Sep 14, 2025

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.
Sep 14, 2025

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.
Sep 12, 2025

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.
Sep 12, 2025

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.
Sep 4, 2025

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.
Sep 4, 2025

Run Windows in Docker: A Practical Guide

Discover how to effortlessly run Windows within a Docker container with the 'dockur/windows' project. This guide explores its features like ISO downloading, KVM acceleration, and web-based viewing. Learn to set it up via Docker Compose, Docker CLI, or Kubernetes, and customize your Windows experience by selecting versions, languages, disk sizes, and user credentials. We'll also cover advanced configurations like RDP access, custom IP addressing, and passing through devices. Whether you're a developer needing a Windows environment for testing or a curious user, this project offers a flexible and powerful solution.
Sep 4, 2025

WhatsApp Automation with NodeJS: whatsapp-web.js

Explore the power of whatsapp-web.js, a robust NodeJS library for building WhatsApp clients by leveraging the WhatsApp Web interface. This open-source project allows developers to automate messages, manage group chats, and integrate WhatsApp functionalities into their applications, all while mitigating the risk of bans. Discover its extensive features, from sending media and stickers to managing group settings and even handling channels. The library's integration with Puppeteer ensures a stable connection. Learn about installation, basic usage with a quick code example, and delve into its impressive array of supported features. Whether you're creating chatbots or enhancing business communication, whatsapp-web.js offers a comprehensive solution for WhatsApp automation in your Node.js projects.
Sep 4, 2025

Humanify: Deobfuscate JS with AI & Babel

Discover Humanify, a powerful open-source tool designed to deobfuscate, unminify, and decompile JavaScript code. Leveraging the capabilities of Large Language Models (LLMs) like ChatGPT and Gemini, alongside robust Babel plugins, Humanify offers an intelligent approach to code readability. This article explores its features, including local execution options and integration with powerful AI models, making it an invaluable asset for developers looking to understand or clean up minified JavaScript.
Aug 30, 2025

WhisperLiveKit: Real-time Local Speech-to-Text

Discover WhisperLiveKit, a powerful open-source project enabling real-time, fully local speech-to-text, translation, and speaker diarization. It leverages state-of-the-art research like SimulStreaming and WhisperStreaming for unparalleled accuracy and low latency, overcoming the limitations of traditional audio chunk processing. With a user-friendly server and web UI, WhisperLiveKit is ideal for applications ranging from meeting transcriptions and accessibility tools to content creation and customer service analysis. The project offers straightforward installation via pip, various configuration options for different models and backends, and robust deployment guides for both CPU and GPU environments using Docker.