hora-search/hora

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2658 stars · 77 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Hora is a Rust library of approximate nearest neighbor (ANN) search algorithms with SIMD acceleration and multithreading. It provides multiple index types (HNSW, SSG, PQIVF, BruteForce), multiple distance metrics, and bindings for Python, JavaScript, Java, and WebAssembly.

Use cases

• build a vector similarity search for embeddings
• implement image search with nearest neighbors
• add a recommendation engine with k-NN lookup
• search high-dimensional vectors fast in Rust
• run approximate nearest neighbor search in Python
• deploy vector search in the browser via WebAssembly
• find similar face embeddings for face matching

When to choose

• you need a lightweight, dependency-free ANN library in Rust without BLAS
• you want SIMD-accelerated HNSW, SSG, or PQIVF indexes
• you need portable vector search across desktop, mobile, and WebAssembly
• you want Python or JavaScript bindings for nearest neighbor search

When to avoid

• you need a full vector database with persistence, filtering, and distributed deployment
• you require a managed service or REST API out of the box
• you need exact (non-approximate) nearest neighbor results at scale
• you need actively developed support for Go, Ruby, Swift, or R bindings

Facets

library · maturity maintenance

search-engine machine-learning math machine-learning artificial-intelligence rust python cross-platform wasm windows approximate-nearest-neighbor ann hnsw vector-search simd similarity-search k-nearest-neighbors recommender-systems image-search search algorithms nodejs linux macos

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