Comparison
vector-db-benchmark vs cherche
Verdict
Pick vector-db-benchmark if vector-db-benchmark is a Python-based framework that focuses on benchmarking vector search engines critical for applications ranging from recommendation systems to semantic search; pick cherche if cherche is a Python library for implementing neural search capabilities.
Markdown twin · vector-db-benchmark alternatives · cherche alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | vector-db-benchmark | cherche |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Dormant (812d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of 1d · 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
- vector-db-benchmark
- Framework for benchmarking vector search engines
- cherche
- Neural Search
Stars
- vector-db-benchmark
- 368
- cherche
- 332
Forks
- vector-db-benchmark
- 153
- cherche
- 14
Open issues
- vector-db-benchmark
- 35
- cherche
- 4
Language
- vector-db-benchmark
- Python
- cherche
- Python
Adopt for
- vector-db-benchmark
- vector-db-benchmark is a Python-based framework that focuses on benchmarking vector search engines critical for applications ranging from recommendation systems to semantic search.
- cherche
- Cherche is a Python library for implementing neural search capabilities.
Persona
- vector-db-benchmark
- -
- cherche
- -
Runtime
- vector-db-benchmark
- -
- cherche
- -
License
- vector-db-benchmark
- Apache-2.0
- cherche
- MIT
Last pushed
- vector-db-benchmark
- Aug 21, 2026
- cherche
- Jun 1, 2024
Categories
- vector-db-benchmark
- Vector Databases
- cherche
- Data & Retrieval, Evaluation & Observability, Vector Databases
Trust and health
Maintenance
- vector-db-benchmark
- Very active (96%)
- cherche
- Dormant (18%)
Days since push
- vector-db-benchmark
- 1d
- cherche
- 812d
Open issues (now)
- vector-db-benchmark
- 35
- cherche
- 4
Open issues delta
- vector-db-benchmark
- -10 (30d)
- cherche
- 0 (30d)
Owner type
- vector-db-benchmark
- Organization
- cherche
- User
Full report
- vector-db-benchmark
- Trust report
- cherche
- Trust report
Shared compatibility
- Python · vector-db-benchmark: Python runtime · cherche: Python runtime
Choose vector-db-benchmark if…
- License: vector-db-benchmark is Apache-2.0, cherche is MIT.
- Tags unique to vector-db-benchmark: benchmark, vector-database, vector-search, vector-search-engine.
- vector-db-benchmark ships Docker support for self-hosted deployment.
- Use this tool when you need precisely measured performance metrics of vector databases, especially in environments where decision-making is driven by nuanced data comparisons and analysis.
When NOT to use vector-db-benchmark
- Avoid this tool if you are looking to benchmark non-vector database types, as its focus specifically lies on vector databases used in specialized scenarios like the ones mentioned.
- Do not use vector-db-benchmark when your project does not require deep analysis or comparison of vector search performance, as it might add unnecessary complexity.
Choose cherche if…
- License: cherche is MIT, vector-db-benchmark is Apache-2.0.
- Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning.
- Also covers Data & Retrieval, Evaluation & Observability.
- Cherche is a Python library for implementing neural search capabilities.
When NOT to use cherche
- Last GitHub push was 814 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (qdrant/vector-db-benchmark) · observed Aug 23, 2026
- GitHub forks (qdrant/vector-db-benchmark) · observed Aug 23, 2026
- Last push (qdrant/vector-db-benchmark) · observed Aug 21, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (raphaelsty/cherche) · observed Aug 23, 2026
- GitHub forks (raphaelsty/cherche) · observed Aug 23, 2026
- Last push (raphaelsty/cherche) · observed Jun 1, 2024
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: vector-db-benchmark 368 · cherche 332 (synced Aug 23, 2026).
Common questions
- What is the difference between vector-db-benchmark and cherche?
- vector-db-benchmark: Framework for benchmarking vector search engines. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories.
- When should I choose vector-db-benchmark over cherche?
- Choose vector-db-benchmark over cherche when License: vector-db-benchmark is Apache-2.0, cherche is MIT; Tags unique to vector-db-benchmark: benchmark, vector-database, vector-search, vector-search-engine; vector-db-benchmark ships Docker support for self-hosted deployment; Use this tool when you need precisely measured performance metrics of vector databases, especially in environments where decision-making is driven by nuanced data comparisons and analysis.
- When should I choose cherche over vector-db-benchmark?
- Choose cherche over vector-db-benchmark when License: cherche is MIT, vector-db-benchmark is Apache-2.0; Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning; Also covers Data & Retrieval, Evaluation & Observability; Cherche is a Python library for implementing neural search capabilities.
- When should I avoid vector-db-benchmark?
- Avoid this tool if you are looking to benchmark non-vector database types, as its focus specifically lies on vector databases used in specialized scenarios like the ones mentioned. Do not use vector-db-benchmark when your project does not require deep analysis or comparison of vector search performance, as it might add unnecessary complexity.
- When should I avoid cherche?
- Last GitHub push was 814 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is vector-db-benchmark or cherche more popular on GitHub?
- vector-db-benchmark has more GitHub stars (368 vs 332). Stars measure visibility, not whether either tool fits your constraints.
- Are vector-db-benchmark and cherche open source?
- Yes - both are open-source projects on GitHub (vector-db-benchmark: Apache-2.0, cherche: MIT).
- Where can I find alternatives to vector-db-benchmark or cherche?
- GraphCanon lists graph-backed alternatives at vector-db-benchmark alternatives and cherche alternatives (vector-db-benchmark markdown twin, cherche 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, vector-db-benchmark or cherche?
- vector-db-benchmark: Very active. cherche: 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 vector-db-benchmark and cherche?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vector-db-benchmark trust report; cherche trust report.