Comparison
aquila vs cuvs
Verdict
Pick aquila if aquila is a neural search engine that indexes latent vectors with JSON metadata, enabling efficient k-NN search operations; pick cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
Markdown twin · aquila alternatives · cuvs alternatives
GraphCanon updated Sep 20, 2026
17views this month
Trust & integrity
| Signal | aquila | cuvs |
|---|---|---|
| Maintenance | Dormant (864d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- An easy-to-use Neural Search Engine for indexing latent vectors with JSON metadata and performing efficient k-NN search.
- cuvs
- A library for vector search and clustering on the GPU
Stars
- aquila
- 379
- cuvs
- 854
Forks
- aquila
- 26
- cuvs
- 236
Open issues
- aquila
- 13
- cuvs
- 738
Language
- aquila
- HTML
- cuvs
- Cuda
Adopt for
- aquila
- Aquila is a neural search engine that indexes latent vectors with JSON metadata, enabling efficient k-NN search operations.
- cuvs
- cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
Persona
- aquila
- -
- cuvs
- -
Runtime
- aquila
- -
- cuvs
- -
License
- aquila
- Aquila is licensed under the Apache License 2.0.
- cuvs
- Apache-2.0
Last pushed
- aquila
- May 6, 2024
- cuvs
- Sep 20, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- cuvs
- Vector Databases
Trust and health
Maintenance
- aquila
- Dormant (18%)
- cuvs
- Very active (96%)
Days since push
- aquila
- 864d
- cuvs
- 0d
Open issues (now)
- aquila
- 13
- cuvs
- 738
Stars delta
- aquila
- 0 (30d)
- cuvs
- +33 (30d)
Open issues delta
- aquila
- 0 (30d)
- cuvs
- +93 (30d)
Full report
- aquila
- Trust report
- cuvs
- Trust report
Choose aquila if…
- aquila is primarily HTML; cuvs is Cuda.
- Requirements: Requires Docker; Aquila requires Docker for deployment, with options for both lite and big data versions..
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- Also covers Data & Retrieval.
- When you need to perform efficient k-NN search operations on latent vectors with associated JSON metadata.
When NOT to use aquila
- If your project requires a specific license that is not Apache License 2.0, Aquila may not be suitable.
- If your application does not require indexing of latent vectors with JSON metadata, Aquila might be overkill.
- If you are looking for a solution that does not require Docker for deployment, Aquila might not be the best fit.
Choose cuvs if…
- cuvs is primarily Cuda; aquila is HTML.
- Tags unique to cuvs: anns, clustering, cuda, gpu.
- cuvs ships Docker support for self-hosted deployment.
- - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA.
When NOT to use cuvs
- - For environments where GPU resources are limited or unavailable because cuVS heavily relies on CUDA's capabilities for performance gains.
- - When you prioritize portability across different hardware, as cuVS being tied to CUDA means it may not be optimal on non-NVIDIA GPUs or CPU-only systems.
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 Sep 20, 2026
- GitHub forks (Aquila-Network/aquila) · observed Sep 20, 2026
- Last push (Aquila-Network/aquila) · observed May 6, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (NVIDIA/cuvs) · observed Sep 20, 2026
- GitHub forks (NVIDIA/cuvs) · observed Sep 20, 2026
- Last push (NVIDIA/cuvs) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aquila 379 · cuvs 854 (synced Sep 20, 2026).
Common questions
- What is the difference between aquila and cuvs?
- aquila: An easy-to-use Neural Search Engine for indexing latent vectors with JSON metadata and performing efficient k-NN search.. cuvs: A library for vector search and clustering on the GPU. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over cuvs?
- Choose aquila over cuvs when aquila is primarily HTML; cuvs is Cuda; Requirements: Requires Docker; Aquila requires Docker for deployment, with options for both lite and big data versions.; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; Also covers Data & Retrieval; When you need to perform efficient k-NN search operations on latent vectors with associated JSON metadata.
- When should I choose cuvs over aquila?
- Choose cuvs over aquila when cuvs is primarily Cuda; aquila is HTML; Tags unique to cuvs: anns, clustering, cuda, gpu; cuvs ships Docker support for self-hosted deployment; - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA.
- When should I avoid aquila?
- If your project requires a specific license that is not Apache License 2.0, Aquila may not be suitable. If your application does not require indexing of latent vectors with JSON metadata, Aquila might be overkill. If you are looking for a solution that does not require Docker for deployment, Aquila might not be the best fit.
- When should I avoid cuvs?
- - For environments where GPU resources are limited or unavailable because cuVS heavily relies on CUDA's capabilities for performance gains. - When you prioritize portability across different hardware, as cuVS being tied to CUDA means it may not be optimal on non-NVIDIA GPUs or CPU-only systems.
- Is aquila or cuvs more popular on GitHub?
- cuvs has more GitHub stars (854 vs 379). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and cuvs open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or cuvs?
- GraphCanon lists graph-backed alternatives at aquila alternatives and cuvs alternatives (aquila markdown twin, cuvs 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 cuvs?
- aquila: Dormant. cuvs: Very 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 cuvs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; cuvs trust report.