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Statistics Python Packages

Python packages with the GitHub topic statistics. Sorted by monthly downloads, with stars and forks.
scikit-learn
scikit-learn

scikit-learn: machine learning in Python

187.9M 68K 28K
statsmodels
statsmodels

Statsmodels: statistical modeling and econometrics in Python

33.6M 12K 4K
mahmoud
boltons

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

23.2M 7K 467
scikit-learn-contrib
imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

5.8M 7K 1K
rsalmei
about-time

A cool helper for tracking time and throughput of code blocks, with beautiful human friendly renditions.

2.5M 69 4
CamDavidsonPilon
lifelines

Survival analysis in Python

1.7M 3K 585
Nixtla
statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

1.6M 5K 408
pymc-devs
pytensor

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

1.3M 644 219
tensorflow
tensorflow-probability

Probabilistic reasoning and statistical analysis in TensorFlow

899K 4K 1K
ydataai
ydata-profiling

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

659K 14K 2K
raphaelvallat
pingouin

Statistical package in Python based on Pandas

476K 2K 174
mne-tools
mne

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

398K 4K 2K
tensorflow
tfp-nightly

Probabilistic reasoning and statistical analysis in TensorFlow

372K 4K 1K
rpy2
rpy2

Interface to use R from Python

284K 705 82
rapidsai
libraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

220K 1K 252
rapidsai
pylibraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

218K 1K 252
py-why
causal-learn

Causal Discovery in Python. Learning causality from data.

192K 2K 279
Nixtla
hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

176K 760 99
CamDavidsonPilon
lifetimes

Lifetime value in Python

175K 1K 374
arviz-devs
preliz

Exploring and eliciting probability distributions

166K 175 18
polyaxon
traceml

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

147K 533 46
polyaxon
datatile

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

129K 533 46
mouradmourafiq
pandas-summary

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

129K 533 46
ydataai
pandas-profiling

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

118K 14K 2K
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology