Comparison
fastembed vs wikipedia2vec
Verdict
Pick fastembed if fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings; pick wikipedia2vec if a Python-based tool for generating embeddings derived from Wikipedia content.
Markdown twin · fastembed alternatives · wikipedia2vec alternatives
GraphCanon updated today
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Trust & integrity
| Signal | fastembed | wikipedia2vec |
|---|---|---|
| Maintenance | Very active (2d since push) As of today · github_public_v1 | Dormant (810d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1mo · 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
- wikipedia2vec
- A tool for learning vector representations of words and entities from Wikipedia
Stars
- fastembed
- 3.2k
- wikipedia2vec
- 967
Forks
- fastembed
- 231
- wikipedia2vec
- 100
Open issues
- fastembed
- 111
- wikipedia2vec
- 8
Language
- fastembed
- Python
- wikipedia2vec
- Python
Adopt for
- fastembed
- Fastembed is a lightweight and efficient Python library for creating state-of-the-art embeddings.
- wikipedia2vec
- A Python-based tool for generating embeddings derived from Wikipedia content.
Persona
- fastembed
- -
- wikipedia2vec
- -
Runtime
- fastembed
- -
- wikipedia2vec
- -
License
- fastembed
- Apache-2.0 License
- wikipedia2vec
- Other
Last pushed
- fastembed
- Aug 19, 2026
- wikipedia2vec
- May 3, 2024
Categories
- fastembed
- Data & Retrieval, Vector Databases
- wikipedia2vec
- Vector Databases
Trust and health
Maintenance
- fastembed
- Very active (96%)
- wikipedia2vec
- Dormant (18%)
Days since push
- fastembed
- 2d
- wikipedia2vec
- 810d
Open issues (now)
- fastembed
- 111
- wikipedia2vec
- 8
Stars delta
- fastembed
- +55 (30d)
- wikipedia2vec
- Unknown
Open issues delta
- fastembed
- -26 (30d)
- wikipedia2vec
- Unknown
Full report
- fastembed
- Trust report
- wikipedia2vec
- Trust report
Choose fastembed if…
- License: fastembed is Apache-2.0, wikipedia2vec is Other.
- 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.
Choose wikipedia2vec if…
- License: wikipedia2vec is Other, fastembed is Apache-2.0.
- Tags unique to wikipedia2vec: natural-language-processing, nlp, python, text-classification.
- You need to generate word and entity embeddings based on extensive Wikipedia data
When NOT to use wikipedia2vec
- Your dataset doesn't intersect with or benefit from Wikipedia content
- You require real-time updating capabilities that exceed static Wikipedia dumps
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 (wikipedia2vec/wikipedia2vec) · observed Jul 23, 2026
- GitHub forks (wikipedia2vec/wikipedia2vec) · observed Jul 23, 2026
- Last push (wikipedia2vec/wikipedia2vec) · observed May 3, 2024
- License file (Other) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: fastembed 3.2k · wikipedia2vec 967 (synced Aug 22, 2026).
Common questions
- What is the difference between fastembed and wikipedia2vec?
- fastembed: Fast, Accurate, Lightweight Python library for creating state-of-the-art embeddings. wikipedia2vec: A tool for learning vector representations of words and entities from Wikipedia. See the comparison table for live GitHub stats and shared categories.
- When should I choose fastembed over wikipedia2vec?
- Choose fastembed over wikipedia2vec when License: fastembed is Apache-2.0, wikipedia2vec is Other; 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 choose wikipedia2vec over fastembed?
- Choose wikipedia2vec over fastembed when License: wikipedia2vec is Other, fastembed is Apache-2.0; Tags unique to wikipedia2vec: natural-language-processing, nlp, python, text-classification; You need to generate word and entity embeddings based on extensive Wikipedia data.
- 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 wikipedia2vec?
- Your dataset doesn't intersect with or benefit from Wikipedia content You require real-time updating capabilities that exceed static Wikipedia dumps
- Is fastembed or wikipedia2vec more popular on GitHub?
- fastembed has more GitHub stars (3,158 vs 967). Stars measure visibility, not whether either tool fits your constraints.
- Are fastembed and wikipedia2vec open source?
- Yes - both are open-source projects on GitHub (fastembed: Apache-2.0, wikipedia2vec: Other).
- Where can I find alternatives to fastembed or wikipedia2vec?
- GraphCanon lists graph-backed alternatives at fastembed alternatives and wikipedia2vec alternatives (fastembed markdown twin, wikipedia2vec 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 wikipedia2vec?
- fastembed: Very active. wikipedia2vec: Dormant. 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 wikipedia2vec?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: fastembed trust report; wikipedia2vec trust report.