Alternatives and similar repositories for python

Users that are interested in python are comparing it to the libraries listed below

• data-describe / data-describe
  data⎰describe: Pythonic EDA Accelerator for Data Science
  ☆300Updated 2 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated 10 months ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• ericmjl / essays-on-data-science
  In which I put together my thoughts on the practice of data science.
  ☆301Updated 2 years ago
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆116Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated last week
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆108Updated 3 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆71Updated 2 years ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 2 months ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆103Updated 3 years ago
• thomasjpfan / awesome-python-data-science
  A curated list of Python libraries used for data science.
  ☆90Updated last year
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆116Updated 2 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 5 months ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated 2 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆94Updated last year
• Cornerstone-OnDemand / modelkit
  Toolkit for developing and maintaining ML models
  ☆154Updated last year
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 3 weeks ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆53Updated 3 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆56Updated 3 years ago
• lesteve / scikit-learn-tutorial
  This repo has moved to https://github.com/INRIA/scikit-learn-mooc/
  ☆42Updated 5 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆98Updated last year