Comparison
aquila vs weaviate-examples
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 weaviate-examples if weaviate-examples aids developers by providing practical usage scenarios for Weaviate vector database, optimizing deep learning applications.
Markdown twin · aquila alternatives · weaviate-examples alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | aquila | weaviate-examples |
|---|---|---|
| Maintenance | Dormant (817d since push) As of 3w · github_public_v1 | Dormant (380d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization 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
- aquila
- Efficient Neural Search Engine
- weaviate-examples
- Weaviate vector database – examples
Stars
- aquila
- 379
- weaviate-examples
- 331
Forks
- aquila
- 26
- weaviate-examples
- 86
Open issues
- aquila
- 13
- weaviate-examples
- 12
Language
- aquila
- HTML
- weaviate-examples
- HTML
Adopt for
- aquila
- Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
- weaviate-examples
- weaviate-examples aids developers by providing practical usage scenarios for Weaviate vector database, optimizing deep learning applications.
Persona
- aquila
- -
- weaviate-examples
- -
Runtime
- aquila
- -
- weaviate-examples
- -
License
- aquila
- -
- weaviate-examples
- MIT
Last pushed
- aquila
- May 6, 2024
- weaviate-examples
- Aug 7, 2025
Categories
- aquila
- Data & Retrieval, Vector Databases
- weaviate-examples
- Data & Retrieval, Vector Databases
Trust and health
Days since push
- aquila
- 817d
- weaviate-examples
- 380d
Open issues (now)
- aquila
- 13
- weaviate-examples
- 12
Stars delta
- aquila
- Unknown
- weaviate-examples
- -1 (30d)
Open issues delta
- aquila
- Unknown
- weaviate-examples
- 0 (30d)
Full report
- aquila
- Trust report
- weaviate-examples
- Trust report
Choose aquila if…
- 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
- More GitHub stars (379 vs 331) - visibility, not fit.
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 weaviate-examples if…
- Tags unique to weaviate-examples: deep-learning, examples, vector-database, vector-search.
- You aim to integrate vector search capabilities into your deep-learning projects and need hands-on examples to understand functionality.
- More recently updated (last pushed Aug 7, 2025).
When NOT to use weaviate-examples
- Your project utilizes a different vector database that aligns better with its specific requirements, such as more customizability in indexing.
- You seek general tutorial material on deep learning without the context of Weaviate's implementation specifics.
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 (weaviate/weaviate-examples) · observed Aug 23, 2026
- GitHub forks (weaviate/weaviate-examples) · observed Aug 23, 2026
- Last push (weaviate/weaviate-examples) · observed Aug 7, 2025
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aquila 379 · weaviate-examples 331 (synced Aug 2, 2026).
Common questions
- What is the difference between aquila and weaviate-examples?
- aquila: Efficient Neural Search Engine. weaviate-examples: Weaviate vector database – examples. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over weaviate-examples?
- Choose aquila over weaviate-examples when 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; More GitHub stars (379 vs 331) - visibility, not fit.
- When should I choose weaviate-examples over aquila?
- Choose weaviate-examples over aquila when Tags unique to weaviate-examples: deep-learning, examples, vector-database, vector-search; You aim to integrate vector search capabilities into your deep-learning projects and need hands-on examples to understand functionality; More recently updated (last pushed Aug 7, 2025).
- 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 weaviate-examples?
- Your project utilizes a different vector database that aligns better with its specific requirements, such as more customizability in indexing. You seek general tutorial material on deep learning without the context of Weaviate's implementation specifics.
- Is aquila or weaviate-examples more popular on GitHub?
- aquila has more GitHub stars (379 vs 331). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and weaviate-examples open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or weaviate-examples?
- GraphCanon lists graph-backed alternatives at aquila alternatives and weaviate-examples alternatives (aquila markdown twin, weaviate-examples 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 weaviate-examples?
- aquila: Dormant. weaviate-examples: 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 weaviate-examples?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; weaviate-examples trust report.