Learn how OpenSearch and Typesense differ in their key features, development activity, technology stack and community adoption, so you can decide which of these search engines is best for you.
Last 30 days
Last commit
Repository age
Version
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both OpenSearch and Typesense have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Typesense leads in popularity with 26,513 stars vs 13,661 stars for OpenSearch. The 94% higher star count indicates stronger community adoption. In terms of developer contributions, OpenSearch has 2,948 forks, indicating strong developer engagement.
OpenSearch is growing faster, adding 189 stars in the last 30 days (+1.4%) against adding 108 stars for Typesense (+0.4%). OpenSearch is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with OpenSearch last updated 1 day ago and Typesense 5 days ago.
Both tools share common technology foundations, being built with Bash. However, they differ in their additional technology choices: OpenSearch uses Python, Java while Typesense leverages JavaScript, Typescript, C, Objective-C, C++.
Typesense has been in development longer, starting 10 years ago, compared to OpenSearch which began 6 years ago. This 4.1-year head start suggests Typesense may have more mature features and established processes.
The projects use different licenses: OpenSearch is licensed under Apache-2.0 while Typesense uses GPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Search Engines.
Both OpenSearch and Typesense offer self-hosting capabilities, giving you full control over your data and infrastructure.