Comparison
postgresml vs pgvecto.rs
Verdict
Pick postgresml if postgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries; 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 · postgresml alternatives · pgvecto.rs alternatives
GraphCanon updated Sep 20, 2026
17views this month
vs
Trust & integrity
| Signal | postgresml | pgvecto.rs |
|---|---|---|
| Maintenance | Dormant (412d since push) As of Aug 18, 2026 · github_public_v1 | Dormant (568d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 18, 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
- postgresml
- Postgres with GPUs for ML/AI apps
- pgvecto.rs
- Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres
Stars
- postgresml
- 6.8k
- pgvecto.rs
- 2.2k
Forks
- postgresml
- 365
- pgvecto.rs
- 86
Open issues
- postgresml
- 149
- pgvecto.rs
- 76
Language
- postgresml
- Rust
- pgvecto.rs
- Rust
Adopt for
- postgresml
- PostgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries.
- 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
- postgresml
- -
- pgvecto.rs
- -
Runtime
- postgresml
- -
- pgvecto.rs
- -
License
- postgresml
- MIT
- pgvecto.rs
- Apache-2.0
Last pushed
- postgresml
- Jul 1, 2025
- pgvecto.rs
- Feb 26, 2025
Categories
- postgresml
- Data & Retrieval, Model Training, Vector Databases
- pgvecto.rs
- Vector Databases
Trust and health
Days since push
- postgresml
- 412d
- pgvecto.rs
- 568d
Open issues (now)
- postgresml
- 149
- pgvecto.rs
- 76
Stars delta
- postgresml
- +3 (30d)
- pgvecto.rs
- +7 (30d)
Full report
- postgresml
- Trust report
- pgvecto.rs
- Trust report
Typed relationship
postgresml alternative pgvecto.rsBoth postgresml and pgvecto.rs are scalable vector search solutions for PostgreSQL, addressing similar use cases in ML/AI applications but with possibly different implementations or features.
Choose postgresml if…
- License: postgresml is MIT, pgvecto.rs is Apache-2.0.
- Both postgresml and pgvecto.rs are scalable vector search solutions for PostgreSQL, addressing similar use cases in ML/AI applications but with possibly different implementations or features.
- Tags unique to postgresml: ai, ann, approximate-nearest-neighbor-search, classification.
- Also covers Data & Retrieval, Model Training.
- Requires integration of machine learning tasks directly within PostgreSQL queries
When NOT to use postgresml
- Teams not utilizing or unwilling to migrate to PostgreSQL databases
- Applications where GPU access is limited, thus constraining ML capabilities
Choose pgvecto.rs if…
- License: pgvecto.rs is Apache-2.0, postgresml is MIT.
- Both postgresml and pgvecto.rs are scalable vector search solutions for PostgreSQL, addressing similar use cases in ML/AI applications but with possibly different implementations or features.
- 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 (postgresml/postgresml) · observed Sep 20, 2026
- GitHub forks (postgresml/postgresml) · observed Sep 20, 2026
- Last push (postgresml/postgresml) · observed Jul 1, 2025
- License file (MIT) · 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: postgresml 6.8k · pgvecto.rs 2.2k (synced Sep 20, 2026).
Common questions
- What is the difference between postgresml and pgvecto.rs?
- postgresml: Postgres with GPUs for ML/AI apps. 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 postgresml over pgvecto.rs?
- Choose postgresml over pgvecto.rs when License: postgresml is MIT, pgvecto.rs is Apache-2.0; Both postgresml and pgvecto.rs are scalable vector search solutions for PostgreSQL, addressing similar use cases in ML/AI applications but with possibly different implementations or features; Tags unique to postgresml: ai, ann, approximate-nearest-neighbor-search, classification; Also covers Data & Retrieval, Model Training; Requires integration of machine learning tasks directly within PostgreSQL queries.
- When should I choose pgvecto.rs over postgresml?
- Choose pgvecto.rs over postgresml when License: pgvecto.rs is Apache-2.0, postgresml is MIT; Both postgresml and pgvecto.rs are scalable vector search solutions for PostgreSQL, addressing similar use cases in ML/AI applications but with possibly different implementations or features; 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 postgresml?
- Teams not utilizing or unwilling to migrate to PostgreSQL databases Applications where GPU access is limited, thus constraining ML capabilities
- 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 postgresml or pgvecto.rs more popular on GitHub?
- postgresml has more GitHub stars (6,817 vs 2,186). Stars measure visibility, not whether either tool fits your constraints.
- Are postgresml and pgvecto.rs open source?
- Yes - both are open-source projects on GitHub (postgresml: MIT, pgvecto.rs: Apache-2.0).
- Where can I find alternatives to postgresml or pgvecto.rs?
- GraphCanon lists graph-backed alternatives at postgresml alternatives and pgvecto.rs alternatives (postgresml 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, postgresml or pgvecto.rs?
- postgresml: Dormant. 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 postgresml and pgvecto.rs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: postgresml trust report; pgvecto.rs trust report.