Python library for getting Mutual Funds data in India

MFLib is a library for getting publically available Mutual Funds data in India. It can be used in various types of projects which requires getting live quotes for a given mutual fund scheme or build large data sets for further data analytics.

• Getting last updated quotes for Mutual fund scheme using scheme codes.
• Return data in Dataframe, json and dictionary formats.
• Getting quotes for all the schemes available with AMFI.
• Helper APIs to check whether a given Scheme code is correct.
• Getting all historical NAVs for a schemes.
• Getting list of all schemes with there Scheme codes.
• Get daily scheme performance.

1. Clone the repository and set up a virtual environment:

   git clone <your-repo-url>
   cd MFLib
   python3 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt

2. Run or debug in VS Code:

   • Open the folder in VS Code.
   • Press F5 or use the Run/Debug panel to start debugging.
   • Ensure the Python interpreter is set to your virtual environment (venv).

3. Run tests (if available):

   python -m unittest discover tests

1. Install build tools:

   pip install build

2. Build the package:

   python -m build

   This will create dist/ with .tar.gz and .whl files.

1. Install Twine:

   pip install twine

2. Upload to PyPI:

   twine upload dist/*

   You will be prompted for your PyPI credentials.