data-science

Statistical data visualization in Python

Refine high-quality datasets and visual AI models

The backtesting engine that gives you an unfair advantage. Test thousands of trading ideas in the time others test one.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Python Data. Leaflet.js Maps.

🏅 Collection of Kaggle Solutions and Ideas 🏅

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Simple and Distributed Machine Learning

A curated list of awesome Jupyter projects, libraries and resources

Create web apps from Python notebooks

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

Algorithmic Trading in Python with Machine Learning

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.

Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.

CLI task management & automation tool

Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.

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.

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.