Backtest-to-live platforms · Active

NautilusTrader

High-performance, event-driven trading platform with a Rust core and a Python API.

View on GitHub Website

GitHub stars31.4k

Forks4.3k

Last commit2026-11-10

Latest releasev1.231.0 (2026-08-02)

LicenseLGPL-3.0

LanguageRust

StatusActive

GitHub statistics as of 2026-11-10. Status: active = commits in the last 90 days, slowing = in the last year, inactive = older, archived = read-only.

Overview

NautilusTrader is built for production: the core is written in Rust, strategies in Python, and the same strategy runs in backtests and live with no code changes. It handles order books and tick data and has adapters for crypto exchanges, Interactive Brokers and several data vendors. It is one of the most actively developed projects in this list.

Best for: Developers building high-frequency or order-book strategies who want backtest and live parity.

Strengths

Fast, realistic event-driven simulation down to the order book
Backtest and live use identical code
Very active development

Limitations

Steep learning curve; built for engineers
API changes often between releases
LGPL-3.0 license

Comparisons

QuantConnect LEAN vs NautilusTrader

Alternatives in Backtest-to-live platforms

22.5k ★QuantConnect LEANQuantConnect's open-source engine: C# core, Python strategies, many asset classes, backtest and live.46.3k ★vn.py (VeighNa)The most widely used open-source quant trading platform in China, now branded VeighNa.

All frameworks · Descriptions are our own summary and may lag behind each project's documentation. Check the project's license before using it in a product. Nothing here is investment advice.