generalized-additive-models VS pyhf

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

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

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 pyhf
1 1
13 272
- 0.4%
7.0 8.8
3 months ago 4 days ago
Python Python
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

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.

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.

What are some alternatives?

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

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

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

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

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

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

statsmodels - Statsmodels: statistical modeling and econometrics in Python

hist - Histogramming for analysis powered by boost-histogram

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

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

GLM.jl - Generalized linear models in Julia

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