Alternatives and similar repositories for datacleaner

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

• NathanEpstein / Dora
  Tools for exploratory data analysis in Python
  ☆644Updated last year
• HHammond / PrettyPandas
  A Pandas Styler class for making beautiful tables
  ☆415Updated 2 years ago
• jwkvam / bowtie
  Create a dashboard with python!
  ☆765Updated 5 years ago
• iamaziz / PyDataset
  Instant access to many datasets in Python.
  ☆943Updated 3 years ago
• polyaxon / traceml
  Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
  ☆519Updated last month
• ianozsvald / data_science_delivered
  Observations from Ian on successfully delivering data science products
  ☆544Updated 4 years ago
• engarde-dev / engarde
  A library for defensive data analysis.
  ☆500Updated 5 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 7 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆516Updated 6 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆896Updated 4 years ago
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆568Updated last year
• facebookarchive / bootstrapped
  Generate bootstrapped confidence intervals for A/B testing in Python.
  ☆636Updated 5 years ago
• adamhajari / spyre
  a web application framework for python
  ☆832Updated 3 years ago
• amueller / scipy_2015_sklearn_tutorial
  Scikit-Learn tutorial material for Scipy 2015
  ☆576Updated 9 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆608Updated 4 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,595Updated 8 years ago
• jupyter / dashboards
  [RETIRED] See Voilà as a supported replacement
  ☆984Updated 5 years ago
• dgrtwo / gleam
  Creating interactive visualizations with Python
  ☆256Updated 2 years ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆972Updated 7 years ago
• ben519 / MLPB
  Machine Learning Problem Bible | Problem Set Here >>
  ☆714Updated 5 years ago
• drivendata / data-science-is-software
  ☆317Updated 4 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆368Updated 8 years ago
• pdpipe / pdpipe
  Easy pipelines for pandas DataFrames.
  ☆720Updated this week
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆259Updated 4 years ago
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆468Updated 4 months ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆798Updated 4 years ago
• andrea-cuttone / geoplotlib
  python toolbox for visualizing geographical data and making maps
  ☆1,034Updated 3 years ago
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,265Updated 7 years ago
• EducationalTestingService / skll
  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  ☆556Updated last month
• DataTau / datascience-anthology-pydata
  PyData, The Complete Works of
  ☆298Updated 8 years ago