Comparison
aquila vs cherche
Verdict
Pick aquila if aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches; pick cherche if cherche is a Python library for implementing neural search capabilities.
Markdown twin · aquila alternatives · cherche alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | aquila | cherche |
|---|---|---|
| Maintenance | Dormant (817d since push) As of 2w · github_public_v1 | Dormant (812d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of today · 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
- aquila
- Efficient Neural Search Engine
- cherche
- Neural Search
Stars
- aquila
- 379
- cherche
- 332
Forks
- aquila
- 26
- cherche
- 14
Open issues
- aquila
- 13
- cherche
- 4
Language
- aquila
- HTML
- cherche
- Python
Adopt for
- aquila
- Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
- cherche
- Cherche is a Python library for implementing neural search capabilities.
Persona
- aquila
- -
- cherche
- -
Runtime
- aquila
- -
- cherche
- -
License
- aquila
- -
- cherche
- MIT
Last pushed
- aquila
- May 6, 2024
- cherche
- Jun 1, 2024
Categories
- aquila
- Data & Retrieval, Vector Databases
- cherche
- Data & Retrieval, Evaluation & Observability, Vector Databases
Trust and health
Days since push
- aquila
- 817d
- cherche
- 812d
Open issues (now)
- aquila
- 13
- cherche
- 4
Stars delta
- aquila
- Unknown
- cherche
- 0 (30d)
Open issues delta
- aquila
- Unknown
- cherche
- 0 (30d)
Owner type
- aquila
- Organization
- cherche
- User
Full report
- aquila
- Trust report
- cherche
- Trust report
Choose aquila if…
- aquila is primarily HTML; cherche is Python.
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary
When NOT to use aquila
- If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration
- In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide
Choose cherche if…
- cherche is primarily Python; aquila is HTML.
- Tags unique to cherche: bm25, flashtext, machine-learning, natural-language-processing.
- Also covers Evaluation & Observability.
- Cherche is a Python library for implementing neural search capabilities.
When NOT to use cherche
- Last GitHub push was 812 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 (Aquila-Network/aquila) · observed Aug 2, 2026
- GitHub forks (Aquila-Network/aquila) · observed Aug 2, 2026
- Last push (Aquila-Network/aquila) · observed May 6, 2024
- License file (unknown) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 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: aquila 379 · cherche 332 (synced Aug 2, 2026).
Common questions
- What is the difference between aquila and cherche?
- aquila: Efficient Neural Search Engine. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over cherche?
- Choose aquila over cherche when aquila is primarily HTML; cherche is Python; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary.
- When should I choose cherche over aquila?
- Choose cherche over aquila when cherche is primarily Python; aquila is HTML; Tags unique to cherche: bm25, flashtext, machine-learning, natural-language-processing; Also covers Evaluation & Observability; Cherche is a Python library for implementing neural search capabilities.
- When should I avoid aquila?
- If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide
- When should I avoid cherche?
- Last GitHub push was 812 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 aquila or cherche more popular on GitHub?
- aquila has more GitHub stars (379 vs 332). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and cherche open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or cherche?
- GraphCanon lists graph-backed alternatives at aquila alternatives and cherche alternatives (aquila 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, aquila or cherche?
- aquila: Dormant. 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 aquila and cherche?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; cherche trust report.