Comparison
awesome-vector-database vs cuvs
Verdict
Pick awesome-vector-database if a curated list of works on vector databases and high-dimensional structure searching without any implementation details; pick cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
Markdown twin · awesome-vector-database alternatives · cuvs alternatives
GraphCanon updated Sep 20, 2026
15views this month
vs
Trust & integrity
| Signal | awesome-vector-database | cuvs |
|---|---|---|
| Maintenance | Active (27d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 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 Jul 11, 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
- awesome-vector-database
- A curated list of works on high dimensional structure/vector search and databases
- cuvs
- A library for vector search and clustering on the GPU
Stars
- awesome-vector-database
- 361
- cuvs
- 854
Forks
- awesome-vector-database
- 38
- cuvs
- 236
Open issues
- awesome-vector-database
- 16
- cuvs
- 738
Language
- awesome-vector-database
- -
- cuvs
- Cuda
Adopt for
- awesome-vector-database
- A curated list of works on vector databases and high-dimensional structure searching without any implementation details.
- cuvs
- cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
Persona
- awesome-vector-database
- -
- cuvs
- -
Runtime
- awesome-vector-database
- -
- cuvs
- -
License
- awesome-vector-database
- CC0-1.0
- cuvs
- Apache-2.0
Last pushed
- awesome-vector-database
- Aug 24, 2026
- cuvs
- Sep 20, 2026
Categories
- awesome-vector-database
- Vector Databases
- cuvs
- Vector Databases
Trust and health
Maintenance
- awesome-vector-database
- Active (82%)
- cuvs
- Very active (96%)
Days since push
- awesome-vector-database
- 27d
- cuvs
- 0d
Open issues (now)
- awesome-vector-database
- 16
- cuvs
- 738
Stars delta
- awesome-vector-database
- +6 (30d)
- cuvs
- +33 (30d)
Open issues delta
- awesome-vector-database
- +10 (30d)
- cuvs
- +93 (30d)
Owner type
- awesome-vector-database
- User
- cuvs
- Organization
Full report
- awesome-vector-database
- Trust report
- cuvs
- Trust report
Choose awesome-vector-database if…
- License: awesome-vector-database is CC0-1.0, cuvs is Apache-2.0.
- Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, nearest-neighbor-search.
- If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field.
When NOT to use awesome-vector-database
- To find ready-to-use implementations or specific product releases; this repository serves more as a collection of references rather than real-world tools.
- If you are looking for direct integration code snippets or detailed tutorials, since the tool is centered on listing and curating resources without delving into practical guides.
Choose cuvs if…
- License: cuvs is Apache-2.0, awesome-vector-database is CC0-1.0.
- 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 (dangkhoasdc/awesome-vector-database) · observed Sep 20, 2026
- GitHub forks (dangkhoasdc/awesome-vector-database) · observed Sep 20, 2026
- Last push (dangkhoasdc/awesome-vector-database) · observed Aug 24, 2026
- License file (CC0-1.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: awesome-vector-database 361 · cuvs 854 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-vector-database and cuvs?
- awesome-vector-database: A curated list of works on high dimensional structure/vector search and databases. 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 awesome-vector-database over cuvs?
- Choose awesome-vector-database over cuvs when License: awesome-vector-database is CC0-1.0, cuvs is Apache-2.0; Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, nearest-neighbor-search; If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field.
- When should I choose cuvs over awesome-vector-database?
- Choose cuvs over awesome-vector-database when License: cuvs is Apache-2.0, awesome-vector-database is CC0-1.0; 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 awesome-vector-database?
- To find ready-to-use implementations or specific product releases; this repository serves more as a collection of references rather than real-world tools. If you are looking for direct integration code snippets or detailed tutorials, since the tool is centered on listing and curating resources without delving into practical guides.
- 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 awesome-vector-database or cuvs more popular on GitHub?
- cuvs has more GitHub stars (854 vs 361). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-vector-database and cuvs open source?
- Yes - both are open-source projects on GitHub (awesome-vector-database: CC0-1.0, cuvs: Apache-2.0).
- Where can I find alternatives to awesome-vector-database or cuvs?
- GraphCanon lists graph-backed alternatives at awesome-vector-database alternatives and cuvs alternatives (awesome-vector-database 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, awesome-vector-database or cuvs?
- awesome-vector-database: Active. 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 awesome-vector-database and cuvs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-vector-database trust report; cuvs trust report.