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Probabilistic time series modeling in Python

Visualizer for pandas data structures

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

Time series forecasting with PyTorch

Lightning ⚡️ fast forecasting with statistical and econometric models.

Relax! Flux is the ML library that doesn't make you tensor

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！

Machine Learning Pipelines for Kubeflow

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

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

Maestro: Netflix’s Workflow Orchestrator

Open Source AI Infra & Engineering Control Plane

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

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A desktop application for viewing and analyzing tabular data

WebApps in pure Python. No JavaScript, HTML and CSS needed

Visualize and compare datasets, target values and associations, with one line of code.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

GeoAI: Artificial Intelligence for Geospatial Data

Shōgun

StellarGraph - Machine Learning on Graphs

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/

A library for debugging/inspecting machine learning classifiers and explaining their predictions

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.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Machine learning metrics for distributed, scalable PyTorch applications.

An intuitive library to add plotting functionality to scikit-learn objects.

Feature engineering and selection open-source Python library compatible with sklearn.