Comparison
fastembed vs EmbedAnything
Verdict
Pick fastembed if fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings; 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 alternatives · EmbedAnything alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | fastembed | EmbedAnything |
|---|---|---|
| Maintenance | Very active (2d since push) As of 3d · github_public_v1 | Active (9d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization 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
- Fast, Accurate, Lightweight Python library for creating state-of-the-art embeddings
- EmbedAnything
- Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust
Stars
- fastembed
- 3.2k
- EmbedAnything
- 1.3k
Forks
- fastembed
- 231
- EmbedAnything
- 143
Open issues
- fastembed
- 111
- EmbedAnything
- 21
Language
- fastembed
- Python
- EmbedAnything
- Rust
Adopt for
- fastembed
- Fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings.
- 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
- -
- EmbedAnything
- -
Runtime
- fastembed
- -
- EmbedAnything
- -
License
- fastembed
- Apache-2.0 License
- EmbedAnything
- Apache-2.0
Last pushed
- fastembed
- Aug 19, 2026
- EmbedAnything
- Aug 12, 2026
Categories
- fastembed
- Data & Retrieval, Vector Databases
- EmbedAnything
- Data & Retrieval, Inference & Serving, Vector Databases
Trust and health
Maintenance
- fastembed
- Very active (96%)
- EmbedAnything
- Active (82%)
Days since push
- fastembed
- 2d
- EmbedAnything
- 9d
Open issues (now)
- fastembed
- 111
- EmbedAnything
- 21
Stars delta
- fastembed
- +55 (30d)
- EmbedAnything
- +18 (30d)
Open issues delta
- fastembed
- -26 (30d)
- EmbedAnything
- -2 (30d)
Full report
- fastembed
- Trust report
- EmbedAnything
- Trust report
Shared compatibility
- Python · fastembed: Python runtime · EmbedAnything: Python runtime
Choose fastembed if…
- fastembed is primarily Python; EmbedAnything 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.
Choose EmbedAnything if…
- EmbedAnything is primarily Rust; fastembed is Python.
- 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 (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 (StarlightSearch/EmbedAnything) · observed Aug 21, 2026
- GitHub forks (StarlightSearch/EmbedAnything) · observed Aug 21, 2026
- Last push (StarlightSearch/EmbedAnything) · observed Aug 12, 2026
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: fastembed 3.2k · EmbedAnything 1.3k (synced Aug 22, 2026).
Common questions
- What is the difference between fastembed and EmbedAnything?
- fastembed: Fast, Accurate, Lightweight Python library for creating state-of-the-art embeddings. 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 over EmbedAnything?
- Choose fastembed over EmbedAnything when fastembed is primarily Python; EmbedAnything 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 choose EmbedAnything over fastembed?
- Choose EmbedAnything over fastembed when EmbedAnything is primarily Rust; fastembed is Python; 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?
- 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.
- 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 or EmbedAnything more popular on GitHub?
- fastembed has more GitHub stars (3,158 vs 1,304). Stars measure visibility, not whether either tool fits your constraints.
- Are fastembed and EmbedAnything open source?
- Yes - both are open-source projects on GitHub (fastembed: Apache-2.0, EmbedAnything: Apache-2.0).
- Where can I find alternatives to fastembed or EmbedAnything?
- GraphCanon lists graph-backed alternatives at fastembed alternatives and EmbedAnything alternatives (fastembed 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 or EmbedAnything?
- fastembed: Very active. EmbedAnything: 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 and EmbedAnything?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: fastembed trust report; EmbedAnything trust report.