Comparison
fastembed-rs vs fastembed
Verdict
Pick fastembed-rs if fastembed-rs is a Rust-based library that specializes in generating vector embeddings and performing local reranking to improve retrieval-augmented generation processes; pick fastembed if fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings.
Markdown twin · fastembed-rs alternatives · fastembed alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | fastembed-rs | fastembed |
|---|---|---|
| Maintenance | Very active (6d since push) As of 3d · github_public_v1 | Very active (2d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3d · github_public_v1 | Not a fork · Organization account As of 4d · 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
- fastembed-rs
- Rust library for generating vector embeddings and reranking locally.
- fastembed
- Fast, Accurate, Lightweight Python library for creating state-of-the-art embeddings
Stars
- fastembed-rs
- 992
- fastembed
- 3.2k
Forks
- fastembed-rs
- 136
- fastembed
- 231
Open issues
- fastembed-rs
- 1
- fastembed
- 111
Language
- fastembed-rs
- Rust
- fastembed
- Python
Adopt for
- fastembed-rs
- fastembed-rs is a Rust-based library that specializes in generating vector embeddings and performing local reranking to improve retrieval-augmented generation processes.
- fastembed
- Fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings.
Persona
- fastembed-rs
- -
- fastembed
- -
Runtime
- fastembed-rs
- -
- fastembed
- -
License
- fastembed-rs
- Apache-2.0
- fastembed
- Apache-2.0 License
Last pushed
- fastembed-rs
- Aug 16, 2026
- fastembed
- Aug 19, 2026
Categories
- fastembed-rs
- Data & Retrieval, Vector Databases
- fastembed
- Data & Retrieval, Vector Databases
Trust and health
Days since push
- fastembed-rs
- 6d
- fastembed
- 2d
Open issues (now)
- fastembed-rs
- 1
- fastembed
- 111
Stars delta
- fastembed-rs
- +20 (30d)
- fastembed
- +55 (30d)
Open issues delta
- fastembed-rs
- -2 (30d)
- fastembed
- -26 (30d)
Owner type
- fastembed-rs
- User
- fastembed
- Organization
Full report
- fastembed-rs
- Trust report
- fastembed
- Trust report
Choose fastembed-rs if…
- fastembed-rs is primarily Rust; fastembed is Python.
- Tags unique to fastembed-rs: fastembed, reranker, reranking, retrieval.
- When you seek high-performance embedding generation within an application written in Rust.
When NOT to use fastembed-rs
- Avoid if your project demands integration with languages other than Rust, as the tool does not offer bindings for other programming languages.
- Not recommended when the primary focus is on distributed or cloud-based embedding services, as fastembed-rs focuses specifically on local processing.
Choose fastembed if…
- fastembed is primarily Python; fastembed-rs is Rust.
- Requirements: Does not require Docker, making the setup straightforward for Python environments..
- Tags unique to fastembed: openai, 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 (Anush008/fastembed-rs) · observed Aug 22, 2026
- GitHub forks (Anush008/fastembed-rs) · observed Aug 22, 2026
- Last push (Anush008/fastembed-rs) · observed Aug 16, 2026
- License file (Apache-2.0) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (qdrant/fastembed) · observed Aug 22, 2026
- GitHub forks (qdrant/fastembed) · observed Aug 22, 2026
- Last push (qdrant/fastembed) · observed Aug 19, 2026
- License file (Apache-2.0) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: fastembed-rs 992 · fastembed 3.2k (synced Aug 22, 2026).
Common questions
- What is the difference between fastembed-rs and fastembed?
- fastembed-rs: Rust library for generating vector embeddings and reranking locally.. 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 fastembed-rs over fastembed?
- Choose fastembed-rs over fastembed when fastembed-rs is primarily Rust; fastembed is Python; Tags unique to fastembed-rs: fastembed, reranker, reranking, retrieval; When you seek high-performance embedding generation within an application written in Rust.
- When should I choose fastembed over fastembed-rs?
- Choose fastembed over fastembed-rs when fastembed is primarily Python; fastembed-rs is Rust; Requirements: Does not require Docker, making the setup straightforward for Python environments.; Tags unique to fastembed: openai, retrieval-augmented-generation; When you need to generate high-quality embeddings quickly in Python.
- When should I avoid fastembed-rs?
- Avoid if your project demands integration with languages other than Rust, as the tool does not offer bindings for other programming languages. Not recommended when the primary focus is on distributed or cloud-based embedding services, as fastembed-rs focuses specifically on local processing.
- 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 fastembed-rs or fastembed more popular on GitHub?
- fastembed has more GitHub stars (3,158 vs 992). Stars measure visibility, not whether either tool fits your constraints.
- Are fastembed-rs and fastembed open source?
- Yes - both are open-source projects on GitHub (fastembed-rs: Apache-2.0, fastembed: Apache-2.0).
- Where can I find alternatives to fastembed-rs or fastembed?
- GraphCanon lists graph-backed alternatives at fastembed-rs alternatives and fastembed alternatives (fastembed-rs 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, fastembed-rs or fastembed?
- fastembed-rs: Very active. 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 fastembed-rs and fastembed?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: fastembed-rs trust report; fastembed trust report.