API Library Credits

This page lists the top-level Python packages used by the Reliafy API. These are documented for software attribution and citation purposes only — they are not installation requirements for the CLI.

Only direct, top-level dependencies are listed — transitive packages installed automatically as dependencies of these libraries are not included.

Preferred Citation Sources

If you need to cite an API dependency, use the preferred references below:

• scikit-learn: Pedregosa, F., Varoquaux, G., Gramfort, A., et al. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12, 2825-2830. https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html
• ArviZ: Kumar, R., Carroll, C., Hartikainen, A., and Martin, O. (2019). ArviZ a unified library for exploratory analysis of Bayesian models in Python. Journal of Open Source Software, 4(33), 1143. https://doi.org/10.21105/joss.01143
• statsmodels: Seabold, S., and Perktold, J. (2010). statsmodels: Econometric and statistical modeling with python. In Proceedings of the 9th Python in Science Conference. https://proceedings.scipy.org/articles/Majora-92bf1922-011

For Numdifftools and redis-py, the project pages are listed below.

For the remaining packages, the project pages are listed below.

Main API Libraries (Top-Level)

• algopy: https://pypi.org/project/algopy/
• arviz: https://www.arviz.org/en/latest/support.html#cite
• arviz-plots: https://pypi.org/project/arviz-plots/
• auth0-fastapi-api: https://pypi.org/project/auth0-fastapi-api/
• autograd: https://pypi.org/project/autograd/
• bandit: https://pypi.org/project/bandit/
• fastapi-cli: https://pypi.org/project/fastapi-cli/
• filedialpy: https://pypi.org/project/filedialpy/
• gitpython: https://pypi.org/project/gitpython/
• gunicorn: https://pypi.org/project/gunicorn/
• jinja2: https://jinja.palletsprojects.com/
• numdifftools: https://numdifftools.readthedocs.io/
• orjson: https://pypi.org/project/orjson/
• platformdirs: https://pypi.org/project/platformdirs/
• psutil: https://pypi.org/project/psutil/
• python-dotenv: https://pypi.org/project/python-dotenv/
• python-multipart: https://pypi.org/project/python-multipart/
• redis: https://redis.readthedocs.io/
• scikit-learn: https://scikit-learn.org/stable/about.html#citing-scikit-learn
• slowapi: https://pypi.org/project/slowapi/
• statsmodels: https://www.statsmodels.org/stable/#citation
• stripe: https://pypi.org/project/stripe/
• tornado: https://pypi.org/project/tornado/
• tqdm: https://tqdm.github.io/
• typer-slim: https://pypi.org/project/typer-slim/
• uvloop: https://pypi.org/project/uvloop/
• watchfiles: https://pypi.org/project/watchfiles/
• websockets: https://pypi.org/project/websockets/
• xlsxwriter: https://pypi.org/project/xlsxwriter/