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Infisical is the open-source platform for secrets, certificates, and privileged access management.
๐ก๏ธ A private certificate authority (X.509 & SSH) & ACME server for secure automated certificate management, so you can use TLS everywhere & SSO for SSH.
๐งโ๐ Authentication and authorization infrastructure for SaaS and AI apps, built on OIDC and OAuth 2.1 with multi-tenancy, SSO, and RBAC.
๐ฅ MaxKB is an open-source platform for building enterprise-grade agents. ๅผบๅคงๆ็จ็ๅผๆบไผไธ็บงๆบ่ฝไฝๅนณๅฐใ
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Automate browser based workflows with AI
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, iโฆ
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
๐ Make websites accessible for AI agents. Automate tasks online with ease.
Best and simplest tool for website change detection, web page monitoring, and website change alerts. Perfect for tracking content changes, price drops, restock alerts, and website defacement monitoโฆ
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claudโฆ
A production-oriented multi-agent orchestration framework.
TradingAgents: Multi-Agents LLM Financial Trading Framework
A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you
Agent S: an open agentic framework that uses computers like a human
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs ๐ ๐ ๐
๐ ๐ ๐ ๐ฐ Backtest trading strategies in Python.
Portfolio analytics for quants, written in Python
The All in One Framework to Build Undefeatable Scrapers
A Nasdaq Data Link MCP (Model Context Protocol) Server