Best for
Quant researchers building factors, machine-learning models, portfolios, and research backtests in one workflow.
Qlib
Qlib is a research platform for testing quantitative ideas with data pipelines, machine-learning models, factors, portfolios, and backtests. It suits work that needs a repeatable path from raw data to a portfolio experiment.
★GitHub Stars46,868
</>Primary languagePython
§LicenseMIT
GHOfficial repositoryOpen GitHub ↗Is it a fit?
The quick decision view, grounded in the ranking data and verification record.
Not ideal for
Anyone whose first requirement is paper or live trading, which official sources do not confirm.
Tested status
Passed at least one reproducible local task test
Setup difficulty
Medium
Last verified
2026-07-31
Closest alternative
What it can do
Research and testing
- Strategy backtesting
- Yes
- LLM or agent based
- No
Trading
- Paper trading
- Not confirmed
- Automated trading
- Not confirmed
Getting started
- API key required to start
- No
- Registration required to start
- No
- Self-hostable
- Yes
Capabilities shown as Yes or No come from the official project source. Unconfirmed fields remain “Not confirmed”.
Related task rankings
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