varistar 🌟

varistar is a Python package designed to simplify the management and interaction with timeseries and lightcurve data coming from multiple sources.

Features

• Data Retrieval: Automated utilities to fetch data from varistar databases.
• Format Conversion: Seamlessly convert varistar-specific data into astropy tables or pandas DataFrames.
• Analysis Tools: Functions for processing gravitational lensing light-curves.
• Modern Workflow: Full support for uv, pip, and type-hinting for high-performance research.

Installation

Install the stable version from PyPI:

pip install varistar

Or, if you prefer using uv:

uv add varistar

Documentation and Usage

All the docs can be found at docs.jjsm.science/varistar

Development

This project is built using the latest Python standards. If you are using this as a template or contributing:

1. Clone the repo:

   git clone https://github.com/jj-sm/varistar.git
   cd varistar
   

2. Sync the environment (using uv):

   uv sync
   

3. Run the test suite:

   uv run pytest
   

License

This project is licensed under the GNU General Public License v3 (GPLv3). This ensures the software remains free and open for the scientific community. See the LICENSE file for details.

Contributing

1. Check out the Contributing Guidelines.
2. Adhere to the Code of Conduct.
3. Open a Feature Request for new ideas.

Citation

If you use varistar in your research or publications, please cite it using the metadata provided in the CITATION.cff file, or click the "Cite this repository" button in the GitHub sidebar.

Maintained by Juan José Sánchez Medina, BSc. Astronomy Student (Pontificia Universidad Católica de Chile)