Open source. Open possibilities.

OpenBB Open Data Platform (ODP) is an open-source toolset for integrating proprietary, licensed, and public financial data into AI copilots, research dashboards, and Python environments.

Self-hosted trading journal with Go API and React web UI. Features dashboard, P&L calendar, trade log, playbook, reports, alerts, bar-replay backtester, and native iOS/Android companion app.

finPal is a self-hosted, privacy-first personal finance manager from palStack, released under AGPL-3.0. It covers expense tracking, budgeting, household cost splitting, investments, bank sync via SimpleFin and CSV import, with a Docker Compose quick start and an admin account created by the first signup.

TradingAgents is an open-source multi-agent LLM framework for financial trading research. It deploys specialized agents—analysts, researchers, traders, and risk managers—that collaboratively evaluate market conditions and generate trading decisions across global stock and crypto markets.

Python and MCP example for an Apify actor that returns US House and Senate congressional stock trades and financial disclosures as structured JSON, with filters for member, ticker, and date range.

An MCP server for South Korean listed companies' ESG data, created by a securities analyst. It allows AI agents like Claude and ChatGPT to query ratings from 5 agencies, governance indicators, and GHG emissions from KRX, KIND, and GIR via 12 tools without requiring API keys.

NanoPay is a JavaScript/TypeScript library for the Nano cryptocurrency network. It provides client workflows and low-level functions for accounts, local signing, block building, work generation, node RPC, sends, receives, representative changes, exact amount conversion, payment URIs, and confirmation watching. It supports ESM, CommonJS, TypeScript, and browsers, and is GPL-3.0-only.

An introductory Python training course focused on numerical computing and data visualization for business analysts and traders.

VectorBT is an open-source Python backtesting library that vectorizes strategy research: it packs thousands of parameter combinations into NumPy arrays and accelerates them with Numba and an optional Rust engine, plus portfolio analytics and interactive Plotly visualization.

VeighNa (VeighNa Studio) is an open-source Python-based quantitative trading framework with event-driven engine, supporting domestic/international market interfaces (CTP, IB, etc.) and modules for CTA strategies, algorithm trading, risk management, and data services. The 4.0 version introduces vnpy.alpha module for AI-powered multi-factor machine learning strategy development.

Backtesting.py is a Python library for backtesting trading strategies. It offers a simple API, fast execution, a built-in optimizer, composable base strategies, and interactive visualizations for analyzing OHLC(V) financial data.

Hyperswitch is an open-source, composable payments infrastructure written in Rust. It connects to 120+ payment processors with intelligent routing, retries, a PCI-compliant vault, cost observability and reconciliation, and offers SaaS or self-hosted deployment.

A bilingual English/Arabic gold-price website for the UAE, GCC and other markets, combining live XAU/USD spot-linked pricing, 7 karat views, local currency estimates, charts, calculators, exports and a shop directory.

Actual is a free, open-source, local-first personal finance tool written in NodeJS that supports synchronization across devices.

FinanceDatabase is a free, community-maintained Python package bundling 300,000+ categorized financial symbols across equities, ETFs, funds, indices, currencies, cryptocurrencies and money markets.

Open-source wealth management software for tracking stocks, ETFs, and cryptocurrencies. Features portfolio performance analytics, multi-account management, static risk analysis, and a privacy-focused, self-hostable design.

Qlib is an AI-oriented quantitative investment platform designed to cover the full ML pipeline from data processing and model training to back-testing and production.