Low-code framework for building custom LLMs, neural networks, and other AI models
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
A collection of machine learning examples and tutorials.
π§ Build, run, and manage data pipelines for integrating and transforming data.
Python Data. Leaflet.js Maps.
π© Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Aim π« β An easy-to-use & supercharged open-source experiment tracker.
π Online machine learning in Python
π :bar_chart: :bulb: Orange: Interactive data analysis
ZenML π: One AI Platform from Pipelines to Agents. https://zenml.io.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
STUMPY is a powerful and scalable Python library for modern time series analysis
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).
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A framework for collecting and analyzing prediction market data, including the largest publicly available dataset of Polymarket and Kalshi market and trade data.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
WebApps in pure Python. No JavaScript, HTML and CSS needed
GeoAI: Artificial Intelligence for Geospatial Data
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
chDB is an in-process OLAP SQL Engine π powered by ClickHouse
Single-cell analysis in Python. Scales to >100M cells.
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
A Django app that creates automatic web UIs for Python scripts.
CLI task management & automation tool
Python Stream Processing
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
Python AutoML for Trading Systems and Sports Betting
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Machine learning with dataframes
The backend agents build with - Multimodal database, orchestration, and serving in one file
High-quality implementations of standard and SOTA methods on a variety of tasks.
Python Streaming DataFrames for Kafka
Multi-class confusion matrix library in Python
Fast and customizable framework for automatic ML model creation (AutoML)
Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.
π° DiΓ‘rios oficiais brasileiros acessΓveis a todos | π° Brazilian government gazettes, accessible to everyone.
Unsupervised time series anomaly detection library
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Simple script for downloading Youtube comments without using the Youtube API
:milky_way: Open Source AI for large scale open ended feedback
Visualize large time series data with plotly.py
Official public repository for PM4Py (Process Mining for Python) β an open-source library for exploring, analyzing, and optimizing business processes with Python.
A multi-page streamlit app for geospatial
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
A common, beautiful interface to tabular data, no matter the format
Workflows and interfaces for neuroimaging packages
Knee point detection in Python :chart_with_upwards_trend:
DoubleML - Double Machine Learning in Python
Linked Data Visualizations Across Multiple Files
Annotated data.
Data-Driven Astrology π« Kerykeion is a Python library for astrology. It generates SVG charts and extracts detailed structured data for birth charts, synastry, transits, composite charts, and more.
Interface to use R from Python
π¨ Toolkit for generating publication-quality plots for Cell, Nature and Science journals
Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCode Notebooks
Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
Second Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.
Access and analyze historical weather and climate data with Python.