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compilation of libraries that have been helpful for data analysis

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BooksBusinessCheats sheetsCryptographyData AnalysisData VisualizationDatabase DriversDate and TimeDecentralized SystemsDeploymentEvaluationMachine LearningTensor FlowTheoryStatisticsLearnWorkWebsitesNewsletters

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What's inside

Evaluation

  • AI Fairness 360

    Fairness metrics for datasets and ML models, explanations and algorithms to mitigate bias in datasets and models.

  • recmetrics

    Library of useful metrics and plots for evaluating recommender systems.

  • sklearn-evaluation

    Model evaluation made easy: plots, tables and markdown reports.

Statistics

Data Visualization

  • AltairInteractive plots

    Declarative statistical visualization library for Python. Can easily do many data transformation within the code to create graph

  • animatplotInteractive plots

    A python package for animating plots build on matplotlib.

  • AutoVizAutomatic Plotting

  • BokehInteractive plots

    Interactive Web Plotting for Python.

  • bqplotInteractive plots

    Plotting library for IPython/Jupyter notebooks

  • chartifyGeneral Purposes

    Python library that makes it easy for data scientists to create charts.

Date and Time

  • Arrow

    A Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps.

  • bayesloop

    Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

  • Chronyk

    A Python 3 library for parsing human-written times and dates.

  • dateutil

    Powerful extensions to the standard datetime module

  • delorean

    A library for clearing up the inconvenient truths that arise dealing with datetimes.

  • luminol

    Anomaly Detection and Correlation library.

Machine Learning

  • auto-sklearnAutomated Machine Learning

    An automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

  • causalml

    Uplift modeling and causal inference with machine learning algorithms.

  • cuML

    RAPIDS Machine Learning Library.

  • gym

    A toolkit for developing and comparing reinforcement learning algorithms.

  • H2O

    Open Source Fast Scalable Machine Learning Platform.

  • hyperlearn

    50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels.

Database Drivers

  • awesome-mysql

    A pure Python MySQL driver compatible to mysql-python.

  • awesome-postgres

    A wrapper of the psycopg2 library for interacting with PostgreSQL.

  • awesome-sqlite

    A supercharged SQLite library built on top of

  • mysqlclient

    MySQL connector with Python 3 support (

  • psycopg2

    The most popular PostgreSQL adapter for Python.

  • PyMySQL

    A pure Python MySQL driver compatible to mysql-python.

Showing a sample of 194 resources. View the full list on GitHub →