pip install astromodels==2.2.2
Astromodels contains models to be used in likelihood or Bayesian analysis in astronomy
SourceAmong top 50% packages on PyPI.
Over 5.1K downloads in the last 90 days.
astromodels
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Astromodels contains models to be used in likelihood or Bayesian analysis in astronomy |
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Automatic placement of labels in a plot. |
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Defines objects for interpolating stellar model grids. |
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Python package for easy C++ declarations navigation. |
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Script of Scripts (SoS): an interactive, cross-platform, and cross-language workflow system for reproducible data analysis |
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A lightweight, general purpose pipeline framework. |
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KM3NeT I/O without ROOT |
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Extended PDG particle data and MC identification codes |
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Hive plots in Python! |
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mpl-probscale: Probabily scales for matplotlib |
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scripts for working with sequencing data |
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Cython binding to MAD-X |
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Implementation of HopcroftKarp's algorithm |
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Autograd compatible approximations to the gamma family of functions |
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A probability library for Berkeley's Prob140 course |
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Functions on top of NumPy for computing different types of entropy |
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A Python package that provides various core tools |
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Covariance tools for fitting stellar spectra |
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Data analysis tools for X-ray science |
astromodels
Proportion of downloaded versions in the last 3 months (only versions over 1%).
2.2.2 |
37.08% |
2.2.1 |
6.79% |
2.2.0 |
4.71% |
2.1.8 |
2.94% |
2.1.7 |
2.92% |
2.1.6 |
2.80% |
2.1.5 |
2.76% |
2.0.2 |
2.74% |
1.5.0 |
2.70% |
2.0.1 |
2.68% |
2.0.0 |
2.68% |
1.4.0 |
2.32% |
1.2.0 |
2.28% |
0.5.1 |
2.26% |
1.0.1 |
2.26% |
1.1.0 |
2.26% |
1.2.1 |
2.26% |
1.3.0 |
2.24% |
1.0.2 |
2.24% |
0.2.2 |
2.24% |
0.4.1 |
2.24% |
0.4.0 |
2.22% |
0.2.0 |
2.20% |
0.2.1 |
2.20% |