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.

Typesense appears to have several advantages over OpenSearch, particularly in popularity, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Typesense leads in popularity with 26,442 stars vs 13,528 stars for OpenSearch. The 95% higher star count indicates stronger community adoption. In terms of developer contributions, OpenSearch has 2,899 forks, indicating strong developer engagement.
OpenSearch is growing faster, adding 199 stars in the last 30 days (+1.5%) against adding 121 stars for Typesense (+0.5%). 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 2 days ago and Typesense 6 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.
Typesense provides self-hosting options for complete data control and customization, while OpenSearch may be primarily cloud-based or require different deployment approaches.

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