Comparison
fastembed-rs vs awesome
Verdict
Pick fastembed-rs when license: fastembed-rs is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, fastembed-rs is Apache-2.0.
Markdown twin · fastembed-rs alternatives · awesome alternatives
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Trust & integrity
| Signal | fastembed-rs | awesome |
|---|---|---|
| Maintenance | Active (10d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- fastembed-rs
- Rust library for generating vector embeddings, reranking locally!
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- fastembed-rs
- 958
- awesome
- 484k
Forks
- fastembed-rs
- 133
- awesome
- 36k
Open issues
- fastembed-rs
- 2
- awesome
- 92
Language
- fastembed-rs
- Rust
- awesome
- -
Adopt for
- fastembed-rs
- -
- awesome
- -
Persona
- fastembed-rs
- -
- awesome
- -
Runtime
- fastembed-rs
- -
- awesome
- -
License
- fastembed-rs
- Apache-2.0
- awesome
- CC0-1.0
Last pushed
- fastembed-rs
- Jun 30, 2026
- awesome
- Jun 30, 2026
Categories
- fastembed-rs
- Vector Databases, Data & Retrieval, LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Days since push
- fastembed-rs
- 10d
- awesome
- 11d
Open issues (now)
- fastembed-rs
- 2
- awesome
- 92
Full report
- fastembed-rs
- Trust report
- awesome
- Trust report
Choose fastembed-rs if…
- License: fastembed-rs is Apache-2.0, awesome is CC0-1.0.
- Tags unique to fastembed-rs: embeddings, fastembed, reranker, rag.
- Also covers Vector Databases, Data & Retrieval.
When NOT to use fastembed-rs
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose awesome if…
- License: awesome is CC0-1.0, fastembed-rs is Apache-2.0.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 958) - visibility, not fit.
When NOT to use awesome
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 Jul 11, 2026
- GitHub forks (Anush008/fastembed-rs) · observed Jul 11, 2026
- Last push (Anush008/fastembed-rs) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: fastembed-rs 958 · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between fastembed-rs and awesome?
- fastembed-rs: Rust library for generating vector embeddings, reranking locally!. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose fastembed-rs over awesome?
- Choose fastembed-rs over awesome when License: fastembed-rs is Apache-2.0, awesome is CC0-1.0; Tags unique to fastembed-rs: embeddings, fastembed, reranker, rag; Also covers Vector Databases, Data & Retrieval.
- When should I choose awesome over fastembed-rs?
- Choose awesome over fastembed-rs when License: awesome is CC0-1.0, fastembed-rs is Apache-2.0; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 958) - visibility, not fit.
- When should I avoid fastembed-rs?
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is fastembed-rs or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 958). Stars measure visibility, not whether either tool fits your constraints.
- Are fastembed-rs and awesome open source?
- Yes - both are open-source projects on GitHub (fastembed-rs: Apache-2.0, awesome: CC0-1.0).
- Where can I find alternatives to fastembed-rs or awesome?
- GraphCanon lists graph-backed alternatives at fastembed-rs alternatives and awesome alternatives (fastembed-rs markdown twin, awesome 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 awesome?
- fastembed-rs: Active. awesome: 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 awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: fastembed-rs trust report; awesome trust report.