Qlib
Qlib: A flexible Python toolkit for researching and backtesting stock strategies, run on your own infrastructure. Ranked #7 of 18 in Quant Tools by our editors (8.4/10); pricing: Free plan; best for machine-learning quantitative research.
At a glance
- Editor score8.4 / 10
- PricingFree plan
- Best forMachine-learning quantitative research
- Free planYes
- Paid fromFree
- Facts checked24 Sep 2026
Where it wins
- Automates dataset building, model training, portfolio backtesting, and evaluation
- Supports supervised learning and reinforcement-learning research
- Modular Python workflows include experiment records and analysis reports
Where it doesn't
- Self-hosted deployment requires users to manage their own environment
- Official dataset is temporarily disabled; alternative data preparation is documented
- Research workflow is focused on stocks and does not provide verified live trading
Our verdict on Qlib
Qlib is an open-source Python framework for researchers developing and evaluating quantitative investment strategies, particularly those using machine learning. It brings data handling, forecasting, portfolio management, backtesting, and evaluation into an automated workflow, while allowing users to assemble customized workflows from modular components. Its scope suits solo researchers through enterprise teams that can run software on their own infrastructure; it is less suited to buyers looking for a hosted trading service.
The research workflow covers dataset building, market data processing, forecasting model training and prediction, and portfolio strategy backtesting. Supervised-learning and reinforcement-learning support gives researchers room to investigate different modeling approaches, while experiment management records research runs. Qlib can also generate analysis reports for forecasts, portfolios, and execution results. The documented category scope is stocks, with daily and minute-frequency data workflows. The official dataset is temporarily disabled, though alternative data preparation is documented, so prospective users should account for sourcing and preparing usable data as part of their workflow.
Qlib is free and open source, with no commercial pricing page published by the vendor. Installation is through a Python package or from source, and deployment is self-hosted across Linux, macOS, and Windows. Documentation and community are the stated support channels. This makes Qlib a fit for teams comfortable maintaining their own environment and data pipeline, especially when modular machine-learning research and backtesting matter more than a managed interface. Buyers seeking commercial pricing, vendor-led support, or verified live trading should consider a different kind of product.
Your product? Our editors can test Qlib in depth and publish a review, labelled as paid · from $149/mo →
Qlib pricing
Qlib fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Strategy backtesting | Yes |
| Live trade execution | Not verified |
| Paper trading | Not verified |
| Asset classes | Stocks |
| Strategy languages | Python |
| Historical data access | Yes |
| Deployment | Self-hosted |
| Platforms | Linux, macOS, Windows |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | qlib.readthedocs.io |
| Facts checked | 24 Sep 2026 |
Alternatives to Qlib
- QuantConnectA multi-asset research and trading workflow with backtesting, paper trading, and live deployment.9.3
- ProRealTimeMulti-platform charting, backtesting and automated trading through broker partners.9.0
- BacktraderA free, open-source Python framework for strategy research and broker-connected trading.8.8
Qlib vs the competition
- Qlib vs QuantConnect
- Qlib vs ProRealTime
- Qlib vs Backtrader
- Qlib vs NinjaTrader
- Qlib vs Composer
- Qlib vs Portfolio123
Compare Qlib with any tool side by side →
Used Qlib? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Qlib for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
Qlib is listed in our Quant Tools directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/qlib/"><img src="https://www.itechguides.com/best/badge/qlib.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update