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Skrub is a Python library that eases preprocessing and feature engineering for machine learning on dataframes.

Free automated data & feature enrichment library for machine learning - automatically searches through thousands of ready-to-use features from public and community shared data sources and enriches your training dataset with only the accuracy improving features.

A tutorial to help machine learning researchers to automatically obtain optimized machine learning models with the optimal learning performance on any specific task.

A Python library for Bayesian Evidential Learning (BEL) in order to estimate the uncertainty of a prediction.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.

Algorithmic Trading with Machine Learning.

Frouros is an open source Python library for drift detection in machine learning systems.

A bounded controller for production ML under distribution shift — detects drift, learns from delayed labels, and takes the smallest safe steering step to defer unnecessary retrains.

The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production.

Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution.

A python machine learning library created to combine powefull data analasys features with tensors and machine learning components, while maintaining support for other libraries.

Evaluate, trace, test, and ship LLM applications across your dev and production lifecycles.

Multidimensional cluster generation in Python.

Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.

Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.

A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.

A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.

A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.

A high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Documentation can be found here.

Business Intelligence (BI) in Python (Pandas web interface) [Deprecated]

Markov Chain Monte Carlo sampling toolkit.

A Pythonic algorithmic trading library.

A Python library for symbolic mathematics.

Statistical modelling and econometrics in Python.

Interactive Web Plotting for Python.

A Python to Vega translator.

A plotting library for Python, based on D3.js.

Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.

Same API as ggplot2 for R. [Deprecated]

Unified interface to ggplot2 popular R packages.

Rendering beautiful SVG maps in Python.

A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.

[Deprecated]

Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python.

NumPy and Pandas interface to Big Data.