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ffn
Financial function library for quantitative analysis in Python
What it is
A financial function library for Python aimed at people working in quantitative finance. Built on Pandas, NumPy and SciPy, it provides utilities for performance measurement and evaluation, graphing, and common data transformations. Those wanting a full backtesting framework are pointed to bt, which is built on top of it. Installation via pip pulls in many dependencies, so an Anaconda distribution is recommended to simplify setup.
At a glance
Worth watchingOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Professional quants |
|---|---|
| Used for | Data analysis, Strategy research |
| Markets | Multi-market |
| Stack | Python |
| Learning curve | Easy to start |
| Practical value | Medium practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | Commits today |
GitHub stars, last 30 days
Daily snapshots since 2026-09-12 (up to 30 days): +5 over the period, now 2,682. Gaps mean no snapshot was taken that day.
A financial function library for Python.
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