pip install lifelines==0.26.3
Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
SourceAmong top 1% packages on PyPI.
Over 846.9K downloads in the last 90 days.
lifelines
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
LightGBM Python Package |
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Basic usage script for dictionary-based sentiment analysis. Intended use with labMT data |
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Python Materials Genomics is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project (https://www.materialsproject.org). |
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Implementation of HopcroftKarp's algorithm |
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Exploratory analysis of Bayesian models |
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Covariance tools for fitting stellar spectra |
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Import IPython notebooks as modules |
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Multi-Language Server WebSocket proxy for Jupyter notebook or lab server for Python 3.5+. |
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Test Driven Data Analysis |
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Cython binding to MAD-X |
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Autograd compatible approximations to the gamma family of functions |
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Fast GloVe with optional retrofitting. |
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A probability library for Berkeley's Prob140 course |
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mpl-probscale: Probabily scales for matplotlib |
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A Python package that provides various core tools |
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Reads ImageJ ROIs. |
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Functions on top of NumPy for computing different types of entropy |
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A lightweight, general purpose pipeline framework. |
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KM3NeT I/O without ROOT |
lifelines
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.26.3 |
30.75% |
0.26.0 |
29.52% |
0.25.11 |
7.14% |
0.25.7 |
6.45% |
0.14.4 |
3.08% |
0.25.6 |
2.88% |
0.21.1 |
1.84% |
0.23.5 |
1.53% |
0.14.6 |
1.45% |
0.19.5 |
1.17% |
0.25.10 |
1.11% |