人気のプロジェクト
GitHubスター2,000以上100,000未満・各区分のスター順 · 算出方法
★ 30,000–under 100,000・データ・14件
★の隣の緑の数字は、前回確認から増えたスター数です · スター数
- 1位
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.
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★ 78,682+14 - 2位
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.
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★ 77,874+24 - 3位
Developers love Redis. Unlock the full potential of the Redis database with Redis Enterprise and start building blazing fast apps.
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★ 77,485+24 - 4位★ 75,499+17
- 5位★ 65,518+10
- 6位
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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★ 50,504+7 - 7位
Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.
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★ 50,301+15 - 8位
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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★ 46,650+6 - 9位
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.
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★ 46,338+18 - 10位
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
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★ 44,486+14 - 11位
PostHog automatically diagnoses problems, fixes bugs, and generates pull requests – all without you having to prompt it.
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★ 40,763+15 - 12位★ 40,342+9
- 13位
Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.
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★ 35,528+13 - 14位
Discover Dragonfly - the most performant in-memory data store, engineered for extreme throughput at scale.
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★ 31,889+5








