Awesome Python Data Science

Apache ECharts is a powerful, interactive charting and data visualization library for browser

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Visualizer for neural network, deep learning and machine learning models

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

A game theoretic approach to explain the output of any machine learning model.

matplotlib: plotting with Python

Interactive Data Visualization in the browser, from Python

Lime: Explaining the predictions of any machine learning classifier

Always know what to expect from your data.

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

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.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Fit interpretable models. Explain blackbox machine learning.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.

A collection of infrastructure and tools for research in neural network interpretability.

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

Vizro is a low-code toolkit for building high-quality data visualization apps.

Plotting library for IPython/Jupyter notebooks

Bayesian optimization in PyTorch

NumPy and Pandas interface to Big Data

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

Adaptive Experimentation Platform

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

No-code in the front, Python in the back. An open-source framework for creating data apps.

Model analysis tools for TensorFlow

Distributed machine learning platform

Code for "High-Precision Model-Agnostic Explanations" paper

ML powered analytics engine for outlier detection and root cause analysis.

Bias Auditing & Fair ML Toolkit

🎆 A visualization of the CapsNet layers to better understand how it works

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.