Data Mining Python Packages

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

gensim

Topic Modelling for Humans

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

pyod

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

sktime

A unified framework for machine learning with time series

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

matminer

Data mining for materials science

clevercsv

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

textract

extract text from any document. no muss. no fuss.

pyprobables

Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html

tsdb

a Python toolbox loads 173 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.

pygrinder

PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing

pypots

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

pm4py

Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.

unitypy

UnityPy is python module that makes it possible to extract/unpack and edit Unity assets

prefixspan

The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.

textract-py3

Maintained fork of deanmalmgren/textract to replace '*' dependencies and other updates

efficient-apriori

An efficient Python implementation of the Apriori algorithm.

catboost-dev

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

aeon

A toolkit for time series machine learning and deep learning

paretoset

Compute the Pareto (non-dominated) set, i.e., skyline operator/query.

accelerator

The Accelerator is a tool for fast and reproducible processing of eBay-scale datasets on a single computer.