semvec/pypi-packages huggingface dataset:
lifelines 0.30.1
Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
License: MIT
Requires Python: >=3.9

![](http://i.imgur.com/EOowdSD.png)

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[![Anaconda-Server Badge](https://anaconda.org/conda-forge/lifelines/badges/version.svg
)](https://conda.anaconda.org/conda-forge)
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[What is survival analysis and why should I learn it?](http://lifelines.readthedocs.org/en/latest/Survival%20Analysis%20intro.html)
 Survival analysis was originally developed and applied heavily by the actuarial and medical community. Its purpose was to answer *why do events occur now versus later* under uncertainty (where *events* might refer to deaths, disease remission, etc.). This is great for researchers who are interested in measuring lifetimes: they can answer questions like *what factors might influence deaths?*

But outside of medicine and actuarial science, there are many other interesting and exciting applications of survival analysis. For example:
- SaaS providers are interested in measuring subscriber lifetimes, or time to some first action
- inventory stock out is a censoring event for true "demand" of a good.
- sociologists are interested in measuring political parties' lifetimes, or relationships, or marriages
- A/B tests to determine how long it takes different groups to perform an action.

*lifelines* is a pure Python implementation of the best parts of survival analysis.


## Documentation and intro to survival analysis

If you are new to survival analysis, wondering why it is useful, or are interested in *lifelines* examples, API, and syntax, please read the [Documentation and Tutorials page](http://lifelines.readthedocs.org/en/latest/index.html)

## Contact
 - Start a conversation in our [Discussions room](https://github.com/CamDavidsonPilon/lifelines/discussions).
 - Some users have posted common questions at [stats.stackexchange.com](https://stats.stackexchange.com/search?tab=votes&q=%22lifelines%22%20is%3aquestion).
 - Creating an issue in the [Github repository](https://github.com/camdavidsonpilon/lifelines).

## Development

See our [Contributing](https://github.com/CamDavidsonPilon/lifelines/blob/master/.github/CONTRIBUTING.md) guidelines.
votedev 0.1.0
Open source code base for Vote.dev
License: MIT
Requires Python: >=3.11
Keywords: vote, voting, election

# votedev

Open source code base for Vote.dev

## Installation

```bash
pip install votedev
```

## Quick Start

```python
from votedev import hello

print(hello())  # "Hello from votedev v0.1.0!"
```

## Requirements

- Python 3.11+

## License

MIT License - see [LICENSE](LICENSE) for details.

## Development

This project uses a `develop` branch workflow:

1. Development work happens on the `develop` branch
2. Version bumps are made in `pyproject.toml` and `src/votedev/__init__.py`
3. Merging `develop` into `main` triggers automatic publishing to PyPI