Comparison
awesome-vector-search vs cuvs
Verdict
Pick awesome-vector-search if curated collection of vector search-related resources including libraries, services, and research papers; pick cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
Markdown twin · awesome-vector-search alternatives · cuvs alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | awesome-vector-search | cuvs |
|---|---|---|
| Maintenance | Steady (48d since push) As of 2d · github_public_v1 | Very active (1d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 2d · 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
- awesome-vector-search
- Collections of vector search related libraries, service and research papers
- cuvs
- A library for vector search and clustering on the GPU
Stars
- awesome-vector-search
- 1.6k
- cuvs
- 838
Forks
- awesome-vector-search
- 127
- cuvs
- 223
Open issues
- awesome-vector-search
- 19
- cuvs
- 692
Language
- awesome-vector-search
- -
- cuvs
- Cuda
Adopt for
- awesome-vector-search
- Curated collection of vector search-related resources including libraries, services, and research papers.
- cuvs
- cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
Persona
- awesome-vector-search
- -
- cuvs
- -
Runtime
- awesome-vector-search
- -
- cuvs
- -
License
- awesome-vector-search
- MIT
- cuvs
- Apache-2.0
Last pushed
- awesome-vector-search
- Jul 6, 2026
- cuvs
- Aug 22, 2026
Categories
- awesome-vector-search
- Vector Databases
- cuvs
- Vector Databases
Trust and health
Maintenance
- awesome-vector-search
- Steady (60%)
- cuvs
- Very active (96%)
Days since push
- awesome-vector-search
- 48d
- cuvs
- 1d
Open issues (now)
- awesome-vector-search
- 19
- cuvs
- 692
Stars delta
- awesome-vector-search
- +5 (30d)
- cuvs
- +17 (30d)
Open issues delta
- awesome-vector-search
- +5 (30d)
- cuvs
- +47 (30d)
Full report
- awesome-vector-search
- Trust report
- cuvs
- Trust report
Choose awesome-vector-search if…
- License: awesome-vector-search is MIT, cuvs is Apache-2.0.
- Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, machine-learning.
- You need a comprehensive overview of vector search technology.
When NOT to use awesome-vector-search
- Require real-time vector search service implementation details outside listed libraries.
- Seeking detailed code tutorials rather than a list of resources.
Choose cuvs if…
- License: cuvs is Apache-2.0, awesome-vector-search is MIT.
- 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 (currentslab/awesome-vector-search) · observed Aug 23, 2026
- GitHub forks (currentslab/awesome-vector-search) · observed Aug 23, 2026
- Last push (currentslab/awesome-vector-search) · observed Jul 6, 2026
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NVIDIA/cuvs) · observed Aug 23, 2026
- GitHub forks (NVIDIA/cuvs) · observed Aug 23, 2026
- Last push (NVIDIA/cuvs) · observed Aug 22, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-vector-search 1.6k · cuvs 838 (synced Aug 23, 2026).
Common questions
- What is the difference between awesome-vector-search and cuvs?
- awesome-vector-search: Collections of vector search related libraries, service and research papers. 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-search over cuvs?
- Choose awesome-vector-search over cuvs when License: awesome-vector-search is MIT, cuvs is Apache-2.0; Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, machine-learning; You need a comprehensive overview of vector search technology.
- When should I choose cuvs over awesome-vector-search?
- Choose cuvs over awesome-vector-search when License: cuvs is Apache-2.0, awesome-vector-search is MIT; 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-search?
- Require real-time vector search service implementation details outside listed libraries. Seeking detailed code tutorials rather than a list of resources.
- 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-search or cuvs more popular on GitHub?
- awesome-vector-search has more GitHub stars (1,581 vs 838). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-vector-search and cuvs open source?
- Yes - both are open-source projects on GitHub (awesome-vector-search: MIT, cuvs: Apache-2.0).
- Where can I find alternatives to awesome-vector-search or cuvs?
- GraphCanon lists graph-backed alternatives at awesome-vector-search alternatives and cuvs alternatives (awesome-vector-search 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-search or cuvs?
- awesome-vector-search: Steady. 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-search and cuvs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-vector-search trust report; cuvs trust report.