Comparison
tinyvector vs fastembed
Verdict
Pick tinyvector if lightweight Rust-based embedding storage for efficiency; pick fastembed if fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings.
Markdown twin · tinyvector alternatives · fastembed alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | tinyvector | fastembed |
|---|---|---|
| Maintenance | Dormant (969d since push) As of 1d · github_public_v1 | Very active (2d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 2d · 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
- tinyvector
- A tiny embedding database in pure Rust.
- fastembed
- Fast, Accurate, Lightweight Python library for creating state-of-the-art embeddings
Stars
- tinyvector
- 439
- fastembed
- 3.2k
Forks
- tinyvector
- 25
- fastembed
- 231
Open issues
- tinyvector
- 8
- fastembed
- 111
Language
- tinyvector
- Rust
- fastembed
- Python
Adopt for
- tinyvector
- Lightweight Rust-based embedding storage for efficiency.
- fastembed
- Fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings.
Persona
- tinyvector
- -
- fastembed
- -
Runtime
- tinyvector
- -
- fastembed
- -
License
- tinyvector
- MIT
- fastembed
- Apache-2.0 License
Last pushed
- tinyvector
- Dec 28, 2023
- fastembed
- Aug 19, 2026
Categories
- tinyvector
- Vector Databases
- fastembed
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- tinyvector
- Dormant (18%)
- fastembed
- Very active (96%)
Days since push
- tinyvector
- 969d
- fastembed
- 2d
Open issues (now)
- tinyvector
- 8
- fastembed
- 111
Stars delta
- tinyvector
- +3 (30d)
- fastembed
- +55 (30d)
Open issues delta
- tinyvector
- 0 (30d)
- fastembed
- -26 (30d)
Owner type
- tinyvector
- User
- fastembed
- Organization
Full report
- tinyvector
- Trust report
- fastembed
- Trust report
Choose tinyvector if…
- tinyvector is primarily Rust; fastembed is Python.
- License: tinyvector is MIT, fastembed is Apache-2.0.
- Tags unique to tinyvector: machine-learning, rust, search-engines, similarity-search.
- tinyvector ships Docker support for self-hosted deployment.
- When developing applications requiring efficient similarity searches over embeddings that are written in Rust or integrate well with Rust systems.
When NOT to use tinyvector
- For heavy-scale distributed vector operations as tinyvector is designed to be lightweight and might not scale as expected compared to larger solutions like Faiss or PQ.
Choose fastembed if…
- fastembed is primarily Python; tinyvector is Rust.
- License: fastembed is Apache-2.0, tinyvector is MIT.
- Requirements: Does not require Docker, making the setup straightforward for Python environments..
- Tags unique to fastembed: openai, rag, retrieval-augmented-generation, vector-search.
- Also covers Data & Retrieval.
- 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 (m1guelpf/tinyvector) · observed Aug 23, 2026
- GitHub forks (m1guelpf/tinyvector) · observed Aug 23, 2026
- Last push (m1guelpf/tinyvector) · observed Dec 28, 2023
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 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: tinyvector 439 · fastembed 3.2k (synced Aug 23, 2026).
Common questions
- What is the difference between tinyvector and fastembed?
- tinyvector: A tiny embedding database in pure 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 tinyvector over fastembed?
- Choose tinyvector over fastembed when tinyvector is primarily Rust; fastembed is Python; License: tinyvector is MIT, fastembed is Apache-2.0; Tags unique to tinyvector: machine-learning, rust, search-engines, similarity-search; tinyvector ships Docker support for self-hosted deployment; When developing applications requiring efficient similarity searches over embeddings that are written in Rust or integrate well with Rust systems.
- When should I choose fastembed over tinyvector?
- Choose fastembed over tinyvector when fastembed is primarily Python; tinyvector is Rust; License: fastembed is Apache-2.0, tinyvector is MIT; Requirements: Does not require Docker, making the setup straightforward for Python environments.; Tags unique to fastembed: openai, rag, retrieval-augmented-generation, vector-search; Also covers Data & Retrieval; When you need to generate high-quality embeddings quickly in Python.
- When should I avoid tinyvector?
- For heavy-scale distributed vector operations as tinyvector is designed to be lightweight and might not scale as expected compared to larger solutions like Faiss or PQ.
- 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 tinyvector or fastembed more popular on GitHub?
- fastembed has more GitHub stars (3,158 vs 439). Stars measure visibility, not whether either tool fits your constraints.
- Are tinyvector and fastembed open source?
- Yes - both are open-source projects on GitHub (tinyvector: MIT, fastembed: Apache-2.0).
- Where can I find alternatives to tinyvector or fastembed?
- GraphCanon lists graph-backed alternatives at tinyvector alternatives and fastembed alternatives (tinyvector 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, tinyvector or fastembed?
- tinyvector: Dormant. 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 tinyvector and fastembed?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: tinyvector trust report; fastembed trust report.