A C++-core quantitative trading framework covering data storage, backtesting, live trading and scheduling, with a Python sub-framework (wtpy).
#risk-management
Best open-source risk management software and libraries (2026)
These projects fall into two groups: quantitative risk libraries for financial modeling, and GRC platforms that cover compliance, audit and third-party risk. Start by deciding whether you need portfolio and market risk tooling or security and compliance workflows, then check whether self-hosting matters to you. QuantLib is a C++ library for quantitative finance that covers modeling, trading and risk management, and it is listed as a replacement for MATLAB Financial Toolbox. skfolio is a Python library for portfolio optimization and factor models, built on the scikit-learn API. ciso-assistant-community is an open-source GRC platform for cybersecurity teams with over 200 frameworks, listed as a replacement for OneTrust and Vanta.
Sort:Recently added
Python toolkit from Goldman Sachs for quantitative finance, covering derivatives pricing, risk management and trading strategy development.
Open-source multi-agent crypto trading system where specialist AI desks generate signals, a Risk Guard can veto trades, and backtests run against buy-and-hold.
Python library for portfolio optimization, factor model construction and risk management, built on scikit-learn's API.
A free, open-source C++ library for quantitative finance, covering modeling, trading and risk management.
Open-source GRC platform for cybersecurity teams covering risk management, compliance, audit, third-party risk and privacy, with 200+ frameworks.
Self-hostable AI governance platform for managing AI risk, compliance with frameworks like the EU AI Act and ISO 42001, and LLM evaluations.
Self-hostable GRC platform for engineering and security teams covering SOC2, GDPR, ISO 27001 compliance work.