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Python toolkit for financial data integration and analysis
What it is
A Python toolkit for integrating and analysing financial data. It includes tools for retrieving Bloomberg data, backfilling history and running performance analysis, with results arranged as pandas DataFrames. Quant researchers and developers who work with Bloomberg data in Python are the intended audience. The Bloomberg features require a Bloomberg terminal or API access, which limits what can be used without one.
At a glance
Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Developers |
|---|---|
| Used for | Data analysis, Backtesting |
| Markets | Futures, Multi-market |
| Stack | Python |
| Learning curve | Moderate learning curve |
| Practical value | Medium practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | No commits in over six months |
GitHub stars, last 30 days
Daily snapshots since 2026-09-28 (up to 30 days): −1 over the period, now 426. Gaps mean no snapshot was taken that day.
Toolkit for integration and analysis.
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