Comparison
fastembed-rs vs EmbedAnything
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 EmbedAnything if embedAnything is a Rust-based tool focused on highly performant and modular operations for inference, ingestion, and indexing of large language models, designed with memory safety and production-readiness in mind.
Markdown twin · fastembed-rs alternatives · EmbedAnything alternatives
GraphCanon updated Sep 20, 2026
8views this month
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Trust & integrity
| Signal | fastembed-rs | EmbedAnything |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 20, 2026 · github_public_v1 | Steady (38d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal 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
- fastembed-rs
- Rust library for generating vector embeddings and reranking locally.
- EmbedAnything
- Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust
Stars
- fastembed-rs
- 1.0k
- EmbedAnything
- 1.3k
Forks
- fastembed-rs
- 145
- EmbedAnything
- 142
Open issues
- fastembed-rs
- 0
- EmbedAnything
- 21
Language
- fastembed-rs
- Rust
- EmbedAnything
- Rust
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.
- EmbedAnything
- EmbedAnything is a Rust-based tool focused on highly performant and modular operations for inference, ingestion, and indexing of large language models, designed with memory safety and production-readiness in mind.
Persona
- fastembed-rs
- -
- EmbedAnything
- -
Runtime
- fastembed-rs
- -
- EmbedAnything
- -
License
- fastembed-rs
- Apache-2.0
- EmbedAnything
- Apache-2.0
Last pushed
- fastembed-rs
- Sep 16, 2026
- EmbedAnything
- Aug 12, 2026
Categories
- fastembed-rs
- Data & Retrieval, Vector Databases
- EmbedAnything
- Data & Retrieval, Inference & Serving, Vector Databases
Trust and health
Maintenance
- fastembed-rs
- Very active (96%)
- EmbedAnything
- Steady (60%)
Days since push
- fastembed-rs
- 3d
- EmbedAnything
- 38d
Open issues (now)
- fastembed-rs
- 0
- EmbedAnything
- 21
Stars delta
- fastembed-rs
- +44 (30d)
- EmbedAnything
- +21 (30d)
Open issues delta
- fastembed-rs
- -3 (30d)
- EmbedAnything
- -2 (30d)
Owner type
- fastembed-rs
- User
- EmbedAnything
- Organization
Full report
- fastembed-rs
- Trust report
- EmbedAnything
- Trust report
Choose fastembed-rs if…
- Tags unique to fastembed-rs: embeddings, fastembed, rag, reranker.
- When you seek high-performance embedding generation within an application written in Rust.
- More recently updated (last pushed Sep 16, 2026).
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 EmbedAnything if…
- Tags unique to EmbedAnything: ai, cloud, generative-ai, hacktoberfest.
- Also covers Inference & Serving.
- EmbedAnything ships Docker support for self-hosted deployment.
- - When you require high performance and memory safety for inference tasks due to its Rust foundation.
When NOT to use EmbedAnything
- - In scenarios requiring direct Python support without additional bridging tools, since EmbedAnything's primary language is Rust.
- - If you need a tool heavily optimized for edge computing where minimal memory usage trumps safety and performance considerations.
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 Sep 20, 2026
- GitHub forks (Anush008/fastembed-rs) · observed Sep 20, 2026
- Last push (Anush008/fastembed-rs) · observed Sep 16, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (StarlightSearch/EmbedAnything) · observed Sep 20, 2026
- GitHub forks (StarlightSearch/EmbedAnything) · observed Sep 20, 2026
- Last push (StarlightSearch/EmbedAnything) · observed Aug 12, 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: fastembed-rs 1.0k · EmbedAnything 1.3k (synced Sep 20, 2026).
Common questions
- What is the difference between fastembed-rs and EmbedAnything?
- fastembed-rs: Rust library for generating vector embeddings and reranking locally.. EmbedAnything: Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust. See the comparison table for live GitHub stats and shared categories.
- When should I choose fastembed-rs over EmbedAnything?
- Choose fastembed-rs over EmbedAnything when Tags unique to fastembed-rs: embeddings, fastembed, rag, reranker; When you seek high-performance embedding generation within an application written in Rust; More recently updated (last pushed Sep 16, 2026).
- When should I choose EmbedAnything over fastembed-rs?
- Choose EmbedAnything over fastembed-rs when Tags unique to EmbedAnything: ai, cloud, generative-ai, hacktoberfest; Also covers Inference & Serving; EmbedAnything ships Docker support for self-hosted deployment; - When you require high performance and memory safety for inference tasks due to its Rust foundation.
- 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 EmbedAnything?
- - In scenarios requiring direct Python support without additional bridging tools, since EmbedAnything's primary language is Rust. - If you need a tool heavily optimized for edge computing where minimal memory usage trumps safety and performance considerations.
- Is fastembed-rs or EmbedAnything more popular on GitHub?
- EmbedAnything has more GitHub stars (1,307 vs 1,016). Stars measure visibility, not whether either tool fits your constraints.
- Are fastembed-rs and EmbedAnything open source?
- Yes - both are open-source projects on GitHub (fastembed-rs: Apache-2.0, EmbedAnything: Apache-2.0).
- Where can I find alternatives to fastembed-rs or EmbedAnything?
- GraphCanon lists graph-backed alternatives at fastembed-rs alternatives and EmbedAnything alternatives (fastembed-rs markdown twin, EmbedAnything 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 EmbedAnything?
- fastembed-rs: Very active. EmbedAnything: Steady. 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 EmbedAnything?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: fastembed-rs trust report; EmbedAnything trust report.