Comparison
aquila vs vearch
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 vearch if vearch is a distributed vector database for efficient vector search in AI applications.
Markdown twin · aquila alternatives · vearch alternatives
GraphCanon updated today
Trust & integrity
| Signal | aquila | vearch |
|---|---|---|
| Maintenance | Dormant (817d since push) As of 2w · github_public_v1 | Active (25d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization 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
- vearch
- Distributed vector search for AI-native applications
Stars
- aquila
- 379
- vearch
- 2.3k
Forks
- aquila
- 26
- vearch
- 365
Open issues
- aquila
- 13
- vearch
- 170
Language
- aquila
- HTML
- vearch
- Python
Adopt for
- aquila
- Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
- vearch
- Vearch is a distributed vector database for efficient vector search in AI applications.
Persona
- aquila
- -
- vearch
- -
Runtime
- aquila
- -
- vearch
- -
License
- aquila
- -
- vearch
- Apache-2.0
Last pushed
- aquila
- May 6, 2024
- vearch
- Jul 27, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- vearch
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- aquila
- Dormant (18%)
- vearch
- Active (82%)
Days since push
- aquila
- 817d
- vearch
- 25d
Open issues (now)
- aquila
- 13
- vearch
- 170
Stars delta
- aquila
- Unknown
- vearch
- +3 (30d)
Open issues delta
- aquila
- Unknown
- vearch
- +1 (30d)
Full report
- aquila
- Trust report
- vearch
- Trust report
Choose aquila if…
- aquila is primarily HTML; vearch 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 vearch if…
- vearch is primarily Python; aquila is HTML.
- Tags unique to vearch: ai-native, cloud-native, embeddings, hybrid-search.
- - When your application requires high performance and scalability for vector data operations.
When NOT to use vearch
- - If you prioritize languages other than Go for your development stack, which might complicate integration into existing architectures.
- - Your project does not benefit from a highly scalable architecture designed specifically around vector searches and instead requires more general relational data handling capabilities.
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 (vearch/vearch) · observed Aug 21, 2026
- GitHub forks (vearch/vearch) · observed Aug 21, 2026
- Last push (vearch/vearch) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aquila 379 · vearch 2.3k (synced Aug 2, 2026).
Common questions
- What is the difference between aquila and vearch?
- aquila: Efficient Neural Search Engine. vearch: Distributed vector search for AI-native applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over vearch?
- Choose aquila over vearch when aquila is primarily HTML; vearch 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 vearch over aquila?
- Choose vearch over aquila when vearch is primarily Python; aquila is HTML; Tags unique to vearch: ai-native, cloud-native, embeddings, hybrid-search; - When your application requires high performance and scalability for vector data operations.
- 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 vearch?
- - If you prioritize languages other than Go for your development stack, which might complicate integration into existing architectures. - Your project does not benefit from a highly scalable architecture designed specifically around vector searches and instead requires more general relational data handling capabilities.
- Is aquila or vearch more popular on GitHub?
- vearch has more GitHub stars (2,320 vs 379). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and vearch open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or vearch?
- GraphCanon lists graph-backed alternatives at aquila alternatives and vearch alternatives (aquila markdown twin, vearch 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 vearch?
- aquila: Dormant. vearch: 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 aquila and vearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; vearch trust report.