hOOt
A minimal full-text search engine using inverted Roaring bitmap indexes with compact storage, operating in database and document modes.
What is hOOt?
hOOt is a minimal full-text search engine built from scratch as a lightweight alternative to Apache Lucene. It uses inverted Roaring bitmap indexes for efficient query processing and offers highly compact storage, operating in both database and document modes to handle structured and unstructured text data.
Developers and engineers needing an embedded, lightweight full-text search solution without the overhead of larger search frameworks, particularly those working on resource-constrained applications or custom search implementations.
hOOt provides a self-contained, efficient search engine with a tiny footprint, making it ideal for scenarios where minimal resource usage is critical while still delivering core full-text search capabilities comparable to heavier alternatives.
Overview
Smallest full text search engine (lucene replacement) built from scratch using inverted Roaring bitmap index, highly compact storage, operating in database and document modes
Use Cases
Best For
- Embedding full-text search in resource-constrained applications
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