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

Maestro: Netflix’s Workflow Orchestrator

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

AI Infra / AI Orchestration / AI Control Plane

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

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

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

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

Algorithmic Trading in Python with Machine Learning

A desktop application for viewing and analyzing tabular data

GeoAI: Artificial Intelligence for Geospatial Data

a delightful machine learning tool that allows you to train, test, and use models without writing code

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.

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/

chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse

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

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

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.

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

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

Data-centric LLM training with dynamic sample selection, domain mixture optimization, and example reweighting inside the LLaMA-Factory training loop.

Machine learning metrics for distributed, scalable PyTorch applications.

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

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

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

Machine Learning Journal for Intermediate to Advanced Topics.

Label, clean and enrich text datasets with LLMs.