Home / Other tools
Q-Fin
Python library for mathematical finance calculations
What it is
A Python library for mathematical finance. It covers option pricing, simulation of stochastic processes and interest rate models behind a compact interface that is easy to call from research or teaching code. Financial engineering students, researchers and developers who need to implement standard models quickly are the intended audience. Its scope is smaller than large pricing libraries, so complex products or calibrations may require additional tools.
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, Strategy research |
| Markets | Multi-market |
| Stack | Python |
| Learning curve | Easy to start |
| Practical value | Low 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): +9 over the period, now 673. Gaps mean no snapshot was taken that day.
A Python library for mathematical finance.
Similar tools
Cython-based Python wrapper for the TA-Lib technical analysis library
Portfolio analytics and performance tear sheets for quants
Technical analysis indicators built on Pandas
Technical indicators computed on streaming data in Python
Technical analysis indicators implemented with pandas
GPT-based news sentiment and reports for financial assets