pyhf VS generalized-additive-models

Compare pyhf vs generalized-additive-models and see what are their differences.

pyhf

pure-Python HistFactory implementation with tensors and autodiff (by scikit-hep)
high-energy-physics statistical-inference scientific-computations Numpy Scipy Tensorflow Pytorch asymptotic-formulas Statistics frequentist-statistics cls histfactory Python Hep hep-ex scikit-hep Jax closember
Source Code
pyhf.readthedocs.io
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generalized-additive-models

Generalized Additive Models in Python. (by tommyod)
Data Science gam Glm statistical-inference statistical-models Statistics
Source Code
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pyhf generalized-additive-models
1 1
271 13
0.0% -
8.8 7.0
8 days ago 3 months ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pyhf

Posts with mentions or reviews of pyhf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-29.

generalized-additive-models

Posts with mentions or reviews of generalized-additive-models. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pyhf and generalized-additive-models you can also consider the following projects:

MetPy - MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

pgmpy - Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]

uproot5 - ROOT I/O in pure Python and NumPy.

scikit-learn - scikit-learn: machine learning in Python

hist - Histogramming for analysis powered by boost-histogram

statsmodels - Statsmodels: statistical modeling and econometrics in Python

uproot3 - ROOT I/O in pure Python and NumPy.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

GLM.jl - Generalized linear models in Julia

pyhf vs MetPy generalized-additive-models vs pgmpy pyhf vs pgmpy generalized-additive-models vs pandas-profiling pyhf vs uproot5 generalized-additive-models vs scikit-learn pyhf vs hist generalized-additive-models vs statsmodels pyhf vs uproot3 generalized-additive-models vs ydata-profiling generalized-additive-models vs GLM.jl