Popular GitHub Repositories for Automated Visualization

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

? Chat with your SQL database ?. Accurate Text-to-SQL Generation via LLMs using RAG ?.

Turns Data and AI algorithms into production-ready web applications in no time.

Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音，一键全自动视频搬运AI字幕组

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Refine high-quality datasets and visual AI models

AutoML library for deep learning

Fast and Accurate ML in 3 Lines of Code

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Learning Convolutional Neural Networks with Interactive Visualization.

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Pytorch implementation of convolutional neural network visualization techniques

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Automated Machine Learning with scikit-learn