elastic/elasticsearch
Free and Open Source, Distributed, RESTful Search Engine
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 6 days ago, with 353 contributors on GitHub.
Peaked at #100 in the weekly ranking the week of Sep 27, its best in the past year.
Use Cases & Benefits
- Provides a distributed, RESTful search and analytics engine optimized for speed and relevance on large-scale datasets.
- Enables near real-time search and analytics with scalable data storage and vector search capabilities for diverse data types.
- Use for implementing full-text search and retrieval in applications requiring fast, relevant results over massive data.
- Use for monitoring and analyzing logs, metrics, and application performance data in real time for operational insights.
- Use for integrating vector search and generative AI applications to enhance search relevance and machine learning workflows.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
- Contributing guide: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
General guidance from repository metadata, not legal advice. How we score
From the README
Elasticsearch is a distributed search and analytics engine, scalable data store and vector database optimized for speed and relevance on production-scale workloads. Elasticsearch is the foundation of Elastic's open Stack platform. Search in near real-time over massive datasets, perform vector searches, integrate with generative AI applications, and much more.
Use cases enabled by Elasticsearch include:
To learn more about Elasticsearch's features and capabilities, see our https://www.elastic.co/products/elasticsearch[product page].
To access information on https://www.elastic.co/search-labs/blog/categories/ml-research[machine learning innovations] and the latest https://www.elastic.co/search-labs/blog/categories/lucene[Lucene contributions from Elastic], more information can be found in https://www.elastic.co/search-labs[Search Labs].
The simplest way to set up Elasticsearch is to create a managed deployment with https://www.elastic.co/cloud/as-a-service[Elasticsearch Service on Elastic Cloud].
If you prefer to install and manage Elasticsearch yourself, you can download the latest version from https://www.elastic.co/downloads/elasticsearch[elastic.co/downloads/elasticsearch].
=== Run Elasticsearch locally
//// IMPORTANT: This content is replicated in the Elasticsearch repo. See
run-elasticsearch-locally.asciidoc. Ensure both files are in sync.https://github.com/elastic/start-local is the source of truth. ////
DO NOT USE THESE INSTRUCTIONS FOR PRODUCTION DEPLOYMENTS.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
26.2K+148
Open issues
6.4K+486
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 192.3K | +5.2K | 75 | — |
| zed-industries/zed | 94.7K | +2.3K | 75 | 6 days ago |
| google/skills | 23.8K | +2.0K | 75 | — |
| NationalSecurityAgency/ghidra | 99.4K | +1.8K | 75 | 19 days ago |
| DuarteSantos8/openGym | 20.8K | +1.7K | 75 | 7 days ago |
| elastic/elasticsearch | 78.5K | — | 60 | 6 days ago |
| Category median | 94.7K | +2.0K | 75 | — |
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