Top DATA GitHub Repositories & Tools (2026)

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.

The fastest path to AI-powered full stack observability, even for lean teams.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Search infrastructure for AI

A lightweight, lightning-fast, in-process vector database

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

Apache Spark - A unified analytics engine for large-scale data processing

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

LlamaIndex is the document processing platform for AI

Easily and securely send things from one computer to another :crocodile: :package:

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Show all JAV cover and ranking in one click.

The most popular Kubernetes Operator for PostgreSQL.

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

Grist is the evolution of spreadsheets.

An orchestration platform for the development, production, and observation of data assets.

A curated directory of ecommerce intelligence APIs for products, prices, reviews, sellers, and marketplaces.

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Self-improving AI Employees turning LLM tokens into work and dollars.