Comparison
hora vs RuVector
Verdict
Pick hora if hora is a Rust-based library for high-performance approximate nearest neighbor search algorithms critical in applications such as image and recommender systems where speed and efficiency are paramount; pick RuVector if ruVector integrates high-performance vector operations and graph neural networks in real-time applications with an emphasis on low-latency self-learning capabilities.
Markdown twin · hora alternatives · RuVector alternatives
GraphCanon updated today
Trust & integrity
| Signal | hora | RuVector |
|---|---|---|
| Maintenance | Slowing (186d since push) As of 2d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- hora
- efficient approximate nearest neighbor search algorithm collections library written in Rust
- RuVector
- High Performance Real-Time Self-Learning Ai Vector GNN Memory DB
Stars
- hora
- 2.7k
- RuVector
- 4.4k
Forks
- hora
- 77
- RuVector
- 588
Open issues
- hora
- 26
- RuVector
- 296
Language
- hora
- Rust
- RuVector
- Rust
Adopt for
- hora
- Hora is a Rust-based library for high-performance approximate nearest neighbor search algorithms critical in applications such as image and recommender systems where speed and efficiency are paramount.
- RuVector
- RuVector integrates high-performance vector operations and graph neural networks in real-time applications with an emphasis on low-latency self-learning capabilities.
Persona
- hora
- -
- RuVector
- -
Runtime
- hora
- -
- RuVector
- -
License
- hora
- Apache-2.0
- RuVector
- MIT
Last pushed
- hora
- Feb 17, 2026
- RuVector
- Aug 24, 2026
Categories
- hora
- Data & Retrieval, Vector Databases
- RuVector
- Model Training, Vector Databases
Trust and health
Maintenance
- hora
- Slowing (36%)
- RuVector
- Very active (96%)
Days since push
- hora
- 186d
- RuVector
- 0d
Open issues (now)
- hora
- 26
- RuVector
- 296
Stars delta
- hora
- -4 (30d)
- RuVector
- +60 (30d)
Open issues delta
- hora
- 0 (30d)
- RuVector
- +80 (30d)
Owner type
- hora
- Organization
- RuVector
- User
Full report
- hora
- Trust report
- RuVector
- Trust report
Choose hora if…
- License: hora is Apache-2.0, RuVector is MIT.
- Tags unique to hora: algorithm, approximate-nearest-neighbor-search, artificial-intelligence, data-structures.
- Also covers Data & Retrieval.
- When you require a high-speed library written in Rust to implement an efficient similarity-search solution
When NOT to use hora
- If your project is restricted to languages other than Rust and you cannot work with Rust bindings or require a more general-purpose vector database library
- When exact nearest neighbor search accuracy is preferred over the speed provided by approximate algorithms, as Hora specializes in sacrificing minimal precision for significant performance gains
Choose RuVector if…
- License: RuVector is MIT, hora is Apache-2.0.
- Pricing: The MIT license is free to use for both personal and commercial purposes but requires redistribution of source code under the MIT License if modifications are made..
- Requirements: Must have a Rust-supported environment.; Systems using RuVector must be designed to handle real-time data processing efficiently..
- Tags unique to RuVector: ai-ocr, attention-mechanism, gnn, graph-neural-networks.
- Also covers Model Training.
- When you require fast, real-time vector processing alongside graph neural network operations for quick inference.
When NOT to use RuVector
- Avoid if your project or environment cannot support Rust-based dependencies crucial for RuVector's performance.
- Not advisable if comprehensive pre-trained model libraries like those provided by ONNX are a requirement, as RuVector focuses more on its unique real-time and self-learning aspects.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hora-search/hora) · observed Aug 23, 2026
- GitHub forks (hora-search/hora) · observed Aug 23, 2026
- Last push (hora-search/hora) · observed Feb 17, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ruvnet/RuVector) · observed Aug 24, 2026
- GitHub forks (ruvnet/RuVector) · observed Aug 24, 2026
- Last push (ruvnet/RuVector) · observed Aug 24, 2026
- License file (MIT) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hora 2.7k · RuVector 4.4k (synced Aug 23, 2026).
Common questions
- What is the difference between hora and RuVector?
- hora: efficient approximate nearest neighbor search algorithm collections library written in Rust. RuVector: High Performance Real-Time Self-Learning Ai Vector GNN Memory DB. See the comparison table for live GitHub stats and shared categories.
- When should I choose hora over RuVector?
- Choose hora over RuVector when License: hora is Apache-2.0, RuVector is MIT; Tags unique to hora: algorithm, approximate-nearest-neighbor-search, artificial-intelligence, data-structures; Also covers Data & Retrieval; When you require a high-speed library written in Rust to implement an efficient similarity-search solution.
- When should I choose RuVector over hora?
- Choose RuVector over hora when License: RuVector is MIT, hora is Apache-2.0; Pricing: The MIT license is free to use for both personal and commercial purposes but requires redistribution of source code under the MIT License if modifications are made.; Requirements: Must have a Rust-supported environment.; Systems using RuVector must be designed to handle real-time data processing efficiently.; Tags unique to RuVector: ai-ocr, attention-mechanism, gnn, graph-neural-networks; Also covers Model Training; When you require fast, real-time vector processing alongside graph neural network operations for quick inference.
- When should I avoid hora?
- If your project is restricted to languages other than Rust and you cannot work with Rust bindings or require a more general-purpose vector database library When exact nearest neighbor search accuracy is preferred over the speed provided by approximate algorithms, as Hora specializes in sacrificing minimal precision for significant performance gains
- When should I avoid RuVector?
- Avoid if your project or environment cannot support Rust-based dependencies crucial for RuVector's performance. Not advisable if comprehensive pre-trained model libraries like those provided by ONNX are a requirement, as RuVector focuses more on its unique real-time and self-learning aspects.
- Is hora or RuVector more popular on GitHub?
- RuVector has more GitHub stars (4,447 vs 2,659). Stars measure visibility, not whether either tool fits your constraints.
- Are hora and RuVector open source?
- Yes - both are open-source projects on GitHub (hora: Apache-2.0, RuVector: MIT).
- Where can I find alternatives to hora or RuVector?
- GraphCanon lists graph-backed alternatives at hora alternatives and RuVector alternatives (hora markdown twin, RuVector markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, hora or RuVector?
- hora: Slowing. RuVector: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for hora and RuVector?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hora trust report; RuVector trust report.