Tags: #data-science

A human-centric Python framework for building, managing, and deploying real-life AI/ML systems from rapid prototyping to reliable production.

DeepAnalyze is the first agentic LLM for autonomous data science, capable of automatically analyzing vast datasets and generating professional reports with a single click.

A Python framework for building reproducible, maintainable, and modular data engineering and data science pipelines using software engineering best practices.

An open-source Python library for evaluating, testing, and monitoring ML and LLM systems across experiments and production environments.

A Python library empowering data scientists and ML engineers to rapidly build and deploy production-ready data and AI-driven web applications.

An open-source, multi-type data labeling and annotation tool designed to prepare and improve datasets for machine learning models.

An AI agent platform designed to automate high-value research and development processes for data and models, driving data-driven AI.

A comprehensive toolkit providing best practices and implementations for building, evaluating, and operationalizing recommendation systems.

A comprehensive Python library offering 60+ anomaly detectors for multi-modal data, featuring an agentic workflow for AI agents and benchmark-backed orchestration.

A comprehensive, open-source repository of Data Science learning resources and tools for real-world problem-solving.

A comprehensive, curated list of libraries, packages, and resources for quantitative finance professionals.