Comparison
cuvs vs pgvecto.rs
Verdict
Pick cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering; pick pgvecto.rs if pgvecto.rs is a vector database extension for PostgreSQL, built in Rust, that supports scalable and low-latency vector search operations, including specific vector data types and distance calculations.
Markdown twin · cuvs alternatives · pgvecto.rs alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | cuvs | pgvecto.rs |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (568d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 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 Sep 18, 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
- cuvs
- A library for vector search and clustering on the GPU
- pgvecto.rs
- Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres
Stars
- cuvs
- 854
- pgvecto.rs
- 2.2k
Forks
- cuvs
- 236
- pgvecto.rs
- 86
Open issues
- cuvs
- 738
- pgvecto.rs
- 76
Language
- cuvs
- Cuda
- pgvecto.rs
- Rust
Adopt for
- cuvs
- cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
- pgvecto.rs
- pgvecto.rs is a vector database extension for PostgreSQL, built in Rust, that supports scalable and low-latency vector search operations, including specific vector data types and distance calculations.
Persona
- cuvs
- -
- pgvecto.rs
- -
Runtime
- cuvs
- -
- pgvecto.rs
- -
License
- cuvs
- Apache-2.0
- pgvecto.rs
- Apache-2.0
Last pushed
- cuvs
- Sep 20, 2026
- pgvecto.rs
- Feb 26, 2025
Categories
- cuvs
- Vector Databases
- pgvecto.rs
- Vector Databases
Trust and health
Maintenance
- cuvs
- Very active (96%)
- pgvecto.rs
- Dormant (18%)
Days since push
- cuvs
- 0d
- pgvecto.rs
- 568d
Open issues (now)
- cuvs
- 738
- pgvecto.rs
- 76
Stars delta
- cuvs
- +33 (30d)
- pgvecto.rs
- +7 (30d)
Open issues delta
- cuvs
- +93 (30d)
- pgvecto.rs
- 0 (30d)
Full report
- cuvs
- Trust report
- pgvecto.rs
- Trust report
Choose cuvs if…
- cuvs is primarily Cuda; pgvecto.rs is Rust.
- 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.
Choose pgvecto.rs if…
- pgvecto.rs is primarily Rust; cuvs is Cuda.
- Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest.
- When you need to integrate vector search capabilities directly into an existing PostgreSQL database, as pgvecto.rs extends PostgreSQL with vector data types and distance calculations.
When NOT to use pgvecto.rs
- If your application does not require integration with PostgreSQL, as pgvecto.rs is specifically designed as an extension for PostgreSQL and does not offer standalone vector search capabilities.
- When you need a solution that supports vector dimensions beyond 65535, as pgvecto.rs is limited to this maximum dimension size.
- If you are looking for a solution that does not require the overhead of setting up and maintaining a PostgreSQL database, as pgvecto.rs is tightly coupled with PostgreSQL.
- When you need a vector database that supports more complex vector operations beyond the three distance calculations provided by pgvecto.rs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (tensorchord/pgvecto.rs) · observed Sep 20, 2026
- GitHub forks (tensorchord/pgvecto.rs) · observed Sep 20, 2026
- Last push (tensorchord/pgvecto.rs) · observed Feb 26, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: cuvs 854 · pgvecto.rs 2.2k (synced Sep 20, 2026).
Common questions
- What is the difference between cuvs and pgvecto.rs?
- cuvs: A library for vector search and clustering on the GPU. pgvecto.rs: Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. See the comparison table for live GitHub stats and shared categories.
- When should I choose cuvs over pgvecto.rs?
- Choose cuvs over pgvecto.rs when cuvs is primarily Cuda; pgvecto.rs is Rust; 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 choose pgvecto.rs over cuvs?
- Choose pgvecto.rs over cuvs when pgvecto.rs is primarily Rust; cuvs is Cuda; Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest; When you need to integrate vector search capabilities directly into an existing PostgreSQL database, as pgvecto.rs extends PostgreSQL with vector data types and distance calculations.
- 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.
- When should I avoid pgvecto.rs?
- If your application does not require integration with PostgreSQL, as pgvecto.rs is specifically designed as an extension for PostgreSQL and does not offer standalone vector search capabilities. When you need a solution that supports vector dimensions beyond 65535, as pgvecto.rs is limited to this maximum dimension size. If you are looking for a solution that does not require the overhead of setting up and maintaining a PostgreSQL database, as pgvecto.rs is tightly coupled with PostgreSQL. When you need a vector database that supports more complex vector operations beyond the three distance calculations provided by pgvecto.rs.
- Is cuvs or pgvecto.rs more popular on GitHub?
- pgvecto.rs has more GitHub stars (2,186 vs 854). Stars measure visibility, not whether either tool fits your constraints.
- Are cuvs and pgvecto.rs open source?
- Yes - both are open-source projects on GitHub (cuvs: Apache-2.0, pgvecto.rs: Apache-2.0).
- Where can I find alternatives to cuvs or pgvecto.rs?
- GraphCanon lists graph-backed alternatives at cuvs alternatives and pgvecto.rs alternatives (cuvs markdown twin, pgvecto.rs 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, cuvs or pgvecto.rs?
- cuvs: Very active. pgvecto.rs: 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 cuvs and pgvecto.rs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cuvs trust report; pgvecto.rs trust report.