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A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.

Easy pipelines for pandas DataFrames.

Bindings and ADO.NET Provider for DuckDB

Impress your boss with interactive Decision Tree visualization

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.

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

Unified MySQL, Postgres & FlightSQL Server, Powered by DuckDB.

Obsidian tools - a Python package for analysing an Obsidian.md vault

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Datasets & Analyses for Formula 1 World Championship

Core meta for awesome-public-datasets. Contribute new data here!

Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Fast DuckDB-powered TypeScript library for tabular, geospatial, vector, AI, Google Sheets, and data visualization workflows on Deno, Node.js, and Bun.

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

No description.

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.

A library for visualizing gridded data 🌐

Python-based implementations of algorithms for learning on imbalanced data.

A fast xgboost feature selection algorithm

A collection of Jupyter Notebooks for learning Python for Data Science.

Explore and analyse your Home Assistant data

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

CLI utility and Python module for analyzing log files and other data.

Proton Exchange Membrane (PEM) Fuel Cell Dataset