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awesome-python-data-science

github.com/thomasjpfan/awesome-python-data-science ↗

A curated list of Python libraries used for data science.

96
GitHub Stars
321
Curated Resources
16
Categories
2 hours ago
Last Refreshed
Machine Learning FrameworksScientificOutlier DetectionDeep Learning FrameworksDeep Learning ToolsDeep Learning ProjectsVisualizationAutoMLExplorationFeature ExtractionTradingMiscDeploymentProfilingPython ToolsData Gathering

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What's inside

Deployment

  • airflow

    ETL.

  • evidently

    Evidently helps evaluate machine learning models during validation and monitor them in production.

  • kubeflow

    Machine Learning Toolkit for Kubernetes.

  • lore

    Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.

  • mlflow

    Open source platform for the complete machine learning lifecycle.

  • onnx

    Open Neutral Network Exchange.

Feature Extraction

  • albumentationsImages and Video

    fast image augmentation library.

  • AugmentorImages and Video

    Image augmentation library.

  • BERT-pytorchText/NLP

    Google AI 2018 BERT pytorch implementation.

  • BlingFireText/NLP

    A lightning fast Finite State machine and REgular expression manipulation library.

  • categorical-encodingGeneral Feature Extraction

    sklearn compatible categorical variable encoders.

  • CausalityTime Series

    Causal analysis.

Exploration

  • alibi

    Algorithms for monitoring and explaining machine learning models.

  • alibi-detect

    Open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline detectors for tabular data, text, images and time series.

  • cleanlab

    Finding label errors in datasets and learning with noisy labels.

  • dabl

    Data Analysis Baseline Library

  • Dora

    Exploratory data analysis.

  • dtale

    Flask/React client for visualizing pandas data structures

Deep Learning Tools

  • allennlp

    NLP Research library.

  • DLTK

    Deep Learning Toolkit for Medical Image Analysis.

  • Edward

    Probabilistic programming language in TensorFlow.

  • einops

    Deep learning operations reinvented.

  • foolbox

    Python toolbox to create adversarial examples that fool neural networks.

  • gluon-nlp

    NLP made easy.

Visualization

  • altair

    Declarative statistical visualization.

  • bokeh

    Interactive web plotting.

  • bqplot

    Plotting library for IPython/Jupyter Notebooks.

  • cufflinks

    Productivity Tools for Plotly + Pandas.

  • dash

    Interactive Web plotting.

  • datashader

    Graphics pipeline system.

Misc

  • annoyGeneral Feature Extraction

    Approximate Nearest Neighbors.

  • crayon

    A language-agnostic interface to TensorBoard.

  • faiss

    A library for efficient similarity search and clustering of dense vectors.

  • fbpca

    Fast Randomized PCA/SVD.

  • mmh3

    MurmurHash3, a set of fast and robust hash functions.

  • pipeline

    Standard Runtime For Every Real-Time Machine Learning.

Scientific

  • astropy

    Astronomy and astrophysics.

  • Biopython

    Astronomy and astrophysics.

  • blaze

    NumPy and Pandas for databases.

  • cvxpy

    Python-embedded modeling language for convex optimization problems.

  • dask

    Parallel computing with task scheduling.

  • nilearn

    NeuroImaging.

AutoML

  • autokeras

    Automated machine learning in Keras.

  • auto_ml

    Automated machine learning.

  • auto-sklearn

    Automated machine learning.

  • devol

    Automated deep neural network design via genetic programming.

  • featuretools

    Automated feature engineering.

  • MLBox

    Automated Machine Learning python library.

Showing a sample of 321 resources. View the full list on GitHub →