Popular projects
2,000 to under 100,000 GitHub stars · most stars first within each tier · Methodology
★ 30,000–under 100,000 · Data · 11 projects
Green numbers beside ★ are stars gained since the previous check · Most stars
- Rank 1
Elasticsearch is the leading distributed, RESTful, open source search and analytics engine designed for speed, horizontal scalability, reliability, and easy management. Get started for free.
★ 78,416−11 - Rank 2
Avoid lock-in and ensure reliability with Grafana Cloud. The AI-powered platform built on open standards unifies metrics, logs, traces, profiles, and business data.
★ 77,583−2 - Rank 3★ 75,366+8
- Rank 4
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
★ 50,256−82 - Rank 5
Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.
★ 49,994+42 - Rank 6
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
★ 46,536+11 - Rank 7
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.
★ 46,167−7 - Rank 8
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
★ 44,368 - Rank 9
PostHog automatically diagnoses problems, fixes bugs, and generates pull requests – all without you having to prompt it.
★ 40,517+7 - Rank 10
Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.
★ 35,333+24 - Rank 11
Discover Dragonfly - the most performant in-memory data store, engineered for extreme throughput at scale.
★ 31,830
