Search open source projects

Distributed search and analytics engine for all types of data, including text, numerical and geospatial.

• Search

Fast, open source search engine that is easy to integrate and delivers relevant results instantly.

• Search

Apache-2.0 licensed distributed search and analytics engine, forked from Elasticsearch to guarantee a fully open-source alternative for full-text search and log analytics.

• Search

Cloud-native search engine purpose-built for observability data, indexing logs and traces directly on object storage for cost-efficient search at scale.

• Search

Open framework for building an internal developer portal, unifying a company's services, infrastructure, and documentation behind one searchable software catalog.

• Developer Tools

Vector database and similarity search engine for building AI applications with embeddings.

• AI & Machine Learning
• Database

Open-source framework for building production-ready search and RAG (retrieval-augmented generation) applications with LLMs.

• AI & Machine Learning

Open-source framework for research and building systems of multiple communicating, role-playing AI agents that collaborate autonomously.

• AI & Machine Learning

Cloud-native chaos engineering platform for Kubernetes that injects controlled faults - pod, network, I/O, and more - to test how a system actually behaves under failure.

• Testing

Programming paradigm and library for controlling LLM generation with interleaved prompting, control flow, and constrained output in one program.

• AI & Machine Learning

The standard web-based interactive computing environment for notebooks, code, and data, widely used across data science and research.

• Developer Tools

CNCF chaos engineering platform for Kubernetes that runs fault-injection experiments to validate how applications recover from failure.

• Testing

Open source vector database built for scalable similarity search and AI applications.

• AI & Machine Learning
• Database

Native graph database that stores and queries data as nodes and relationships, purpose-built for connected data problems.

• Database

General-purpose, CNCF-graduated policy engine for enforcing authorization, compliance, and configuration rules as code across microservices, APIs, Kubernetes, and CI pipelines.

• DevOps

Daemonless container engine that runs, builds, and manages containers as a drop-in Docker alternative, without a background root service.

• Developer Tools

Durable execution platform that lets developers write reliable, long-running workflows as ordinary code, with retries, state, and failure recovery handled automatically.

• Automation

Distributed SQL query engine that lets you run federated queries across multiple data sources - databases, data lakes, and more - from one place.

• Analytics

Data orchestration layer that sits between compute engines and storage systems, caching data for faster, unified access across the two.

• Storage

Kubernetes-native workflow engine that runs each step of a pipeline as a container, orchestrating parallel jobs and multi-step DAGs directly on a cluster.

• Automation

Unified programming model for defining batch and stream data processing pipelines that can run portably across multiple execution engines.

• Analytics

Distributed stream processing engine for computing over continuous, unbounded data streams with exactly-once correctness guarantees.

• Analytics

Kubernetes-native policy engine that lets you write and enforce policies using plain YAML instead of a separate policy language.

• DevOps

Relationship-based authorization engine inspired by Google Zanzibar, for modeling and enforcing fine-grained access control as a standalone service.

• Authentication & Security

Open source machine learning framework that accelerates the path from research prototyping to production deployment.

• AI & Machine Learning

In-memory data structure store used as a database, cache, message broker and streaming engine.

• Database
• Storage

Unified analytics engine for large-scale batch and stream data processing, one of the most widely adopted big data frameworks.

• Analytics

End-to-end open source platform for machine learning, from research to production.

• AI & Machine Learning

Open-source OCR engine that extracts text from scanned documents and images, supporting more than 100 languages out of the box.

• Media

High-throughput, memory-efficient inference and serving engine for large language models, built for running LLMs in production at scale rather than on a single local machine.

• AI & Machine Learning

Simple, container-native CI/CD engine extensible via plugins, designed to run pipelines with a lightweight server and agent footprint.

• DevOps