Comparison
hora vs fastembed
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 fastembed if fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings.
Markdown twin · hora alternatives · fastembed alternatives
GraphCanon updated Sep 20, 2026
5views this month
Trust & integrity
| Signal | hora | fastembed |
|---|---|---|
| Maintenance | Slowing (214d since push) As of Sep 20, 2026 · github_public_v1 | Very active (3d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- fastembed
- Fast, Accurate, Lightweight Python library for creating state-of-the-art embeddings
Stars
- hora
- 2.7k
- fastembed
- 3.2k
Forks
- hora
- 77
- fastembed
- 249
Open issues
- hora
- 26
- fastembed
- 120
Language
- hora
- Rust
- fastembed
- Python
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.
- fastembed
- Fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings.
Persona
- hora
- -
- fastembed
- -
Runtime
- hora
- -
- fastembed
- -
License
- hora
- Apache-2.0
- fastembed
- Apache-2.0 License
Last pushed
- hora
- Feb 17, 2026
- fastembed
- Sep 16, 2026
Categories
- hora
- Data & Retrieval, Vector Databases
- fastembed
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- hora
- Slowing (36%)
- fastembed
- Very active (96%)
Days since push
- hora
- 214d
- fastembed
- 3d
Open issues (now)
- hora
- 26
- fastembed
- 120
Stars delta
- hora
- -8 (30d)
- fastembed
- +108 (30d)
Open issues delta
- hora
- 0 (30d)
- fastembed
- -17 (30d)
Full report
- hora
- Trust report
- fastembed
- Trust report
Shared compatibility
- Python · hora: Python runtime · fastembed: Python runtime
Choose hora if…
- hora is primarily Rust; fastembed is Python.
- Tags unique to hora: algorithm, approximate-nearest-neighbor-search, artificial-intelligence, data-structures.
- 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 fastembed if…
- fastembed is primarily Python; hora is Rust.
- Requirements: Does not require Docker, making the setup straightforward for Python environments..
- Tags unique to fastembed: embeddings, openai, rag, retrieval-augmented generation.
- When you need to generate high-quality embeddings quickly in Python.
When NOT to use fastembed
- If your project is not using Python, as Fastembed does not offer support for other programming languages directly.
- In scenarios demanding heavy customization or fine-tuning at a lower level than what Fastembed provides out-of-the-box. Consider alternatives that may offer more flexibility.
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 Sep 20, 2026
- GitHub forks (hora-search/hora) · observed Sep 20, 2026
- Last push (hora-search/hora) · observed Feb 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (qdrant/fastembed) · observed Sep 20, 2026
- GitHub forks (qdrant/fastembed) · observed Sep 20, 2026
- Last push (qdrant/fastembed) · observed Sep 16, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hora 2.7k · fastembed 3.2k (synced Sep 20, 2026).
Common questions
- What is the difference between hora and fastembed?
- hora: efficient approximate nearest neighbor search algorithm collections library written in Rust. fastembed: Fast, Accurate, Lightweight Python library for creating state-of-the-art embeddings. See the comparison table for live GitHub stats and shared categories.
- When should I choose hora over fastembed?
- Choose hora over fastembed when hora is primarily Rust; fastembed is Python; Tags unique to hora: algorithm, approximate-nearest-neighbor-search, artificial-intelligence, data-structures; When you require a high-speed library written in Rust to implement an efficient similarity-search solution.
- When should I choose fastembed over hora?
- Choose fastembed over hora when fastembed is primarily Python; hora is Rust; Requirements: Does not require Docker, making the setup straightforward for Python environments.; Tags unique to fastembed: embeddings, openai, rag, retrieval-augmented generation; When you need to generate high-quality embeddings quickly in Python.
- 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 fastembed?
- If your project is not using Python, as Fastembed does not offer support for other programming languages directly. In scenarios demanding heavy customization or fine-tuning at a lower level than what Fastembed provides out-of-the-box. Consider alternatives that may offer more flexibility.
- Is hora or fastembed more popular on GitHub?
- fastembed has more GitHub stars (3,211 vs 2,655). Stars measure visibility, not whether either tool fits your constraints.
- Are hora and fastembed open source?
- Yes - both are open-source projects on GitHub (hora: Apache-2.0, fastembed: Apache-2.0).
- Where can I find alternatives to hora or fastembed?
- GraphCanon lists graph-backed alternatives at hora alternatives and fastembed alternatives (hora markdown twin, fastembed 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 fastembed?
- hora: Slowing. fastembed: 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 fastembed?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hora trust report; fastembed trust report.