data-analysis

nannyml: post-deployment data science in python

PyMC educational resources

The Universal Storage Engine

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

Library for animated data visualizations and data stories.

GPU Accelerated t-SNE for CUDA with Python bindings

Terminal-based toolkit for GitHub data analysis.

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

A Python package for manipulating 2-dimensional tabular data structures

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Ultra-fast and customizable Python charts

Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.

Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alternative to Google Analytics, MixPanel, Plausible, Umami & Matomo.

DataGear数据可视化分析平台，自由制作任何您想要的数据看板

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Machine learning with dataframes

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

General Assembly's 2015 Data Science course in Washington, DC

👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone

What's in your data? Extract schema, statistics and entities from datasets

ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query analytical databases accurately and with full context of your company

re_data - fix data issues before your users & CEO would discover them 😊

fklearn: Functional Machine Learning

Hacknical, hacker & technical. A website for GitHub user to make a better resume.

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Drone Log analyzer: A high-performance universal dashboard application for organizing and analyzing DJI/Litchi flight logs privately in one place. Supports plugin for custom flight log formats. Built with Tauri v2, DuckDB, and React.

Multi-class confusion matrix library in Python

simple tools for data cleaning in R