Comparison
pgvector vs postgresml
Verdict
Pick pgvector if pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1 distance; pick postgresml if postgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries.
Markdown twin · pgvector alternatives · postgresml alternatives
GraphCanon updated Sep 20, 2026
18views this month
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Trust & integrity
| Signal | pgvector | postgresml |
|---|---|---|
| Maintenance | Active (7d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (412d since push) As of Aug 18, 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 Aug 18, 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
- pgvector
- Open-source vector similarity search for Postgres
- postgresml
- Postgres with GPUs for ML/AI apps
Stars
- pgvector
- 23k
- postgresml
- 6.8k
Forks
- pgvector
- 1.3k
- postgresml
- 365
Open issues
- pgvector
- 16
- postgresml
- 149
Language
- pgvector
- C
- postgresml
- Rust
Adopt for
- pgvector
- pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1 distance.
- postgresml
- PostgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries.
Persona
- pgvector
- -
- postgresml
- -
Runtime
- pgvector
- -
- postgresml
- -
License
- pgvector
- Other
- postgresml
- MIT
Last pushed
- pgvector
- Sep 10, 2026
- postgresml
- Jul 1, 2025
Categories
- pgvector
- Vector Databases
- postgresml
- Data & Retrieval, Model Training, Vector Databases
Trust and health
Maintenance
- pgvector
- Active (82%)
- postgresml
- Dormant (18%)
Days since push
- pgvector
- 7d
- postgresml
- 412d
Open issues (now)
- pgvector
- 16
- postgresml
- 149
Stars delta
- pgvector
- +674 (30d)
- postgresml
- +3 (30d)
Open issues delta
- pgvector
- +2 (30d)
- postgresml
- 0 (30d)
Full report
- pgvector
- Trust report
- postgresml
- Trust report
Typed relationship
pgvector alternative postgresmlpostgresml and pgvector both offer vector similarity search capabilities for PostgreSQL, providing alternatives for integrating ML/AI functionality within a relational database.
Choose pgvector if…
- pgvector is primarily C; postgresml is Rust.
- License: pgvector is Other, postgresml is MIT.
- postgresml and pgvector both offer vector similarity search capabilities for PostgreSQL, providing alternatives for integrating ML/AI functionality within a relational database.
- Tags unique to pgvector: c-language, docker-support, l2-distance, nearest-neighbor-search.
- pgvector ships Docker support for self-hosted deployment.
- When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.
When NOT to use pgvector
- If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches.
- When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions.
- If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system.
- When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.
Choose postgresml if…
- postgresml is primarily Rust; pgvector is C.
- License: postgresml is MIT, pgvector is Other.
- postgresml and pgvector both offer vector similarity search capabilities for PostgreSQL, providing alternatives for integrating ML/AI functionality within a relational database.
- Tags unique to postgresml: ai, ann, classification, clustering.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (pgvector/pgvector) · observed Sep 20, 2026
- GitHub forks (pgvector/pgvector) · observed Sep 20, 2026
- Last push (pgvector/pgvector) · observed Sep 10, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- 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 on cards: pgvector 23k · postgresml 6.8k (synced Sep 20, 2026).
Common questions
- What is the difference between pgvector and postgresml?
- pgvector: Open-source vector similarity search for Postgres. postgresml: Postgres with GPUs for ML/AI apps. See the comparison table for live GitHub stats and shared categories.
- When should I choose pgvector over postgresml?
- Choose pgvector over postgresml when pgvector is primarily C; postgresml is Rust; License: pgvector is Other, postgresml is MIT; postgresml and pgvector both offer vector similarity search capabilities for PostgreSQL, providing alternatives for integrating ML/AI functionality within a relational database; Tags unique to pgvector: c-language, docker-support, l2-distance, nearest-neighbor-search; pgvector ships Docker support for self-hosted deployment; When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.
- When should I choose postgresml over pgvector?
- Choose postgresml over pgvector when postgresml is primarily Rust; pgvector is C; License: postgresml is MIT, pgvector is Other; postgresml and pgvector both offer vector similarity search capabilities for PostgreSQL, providing alternatives for integrating ML/AI functionality within a relational database; Tags unique to postgresml: ai, ann, classification, clustering; Also covers Data & Retrieval, Model Training; Requires integration of machine learning tasks directly within PostgreSQL queries.
- When should I avoid pgvector?
- If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches. When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions. If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system. When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.
- 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
- Is pgvector or postgresml more popular on GitHub?
- pgvector has more GitHub stars (23,049 vs 6,817). Stars measure visibility, not whether either tool fits your constraints.
- Are pgvector and postgresml open source?
- Yes - both are open-source projects on GitHub (pgvector: Other, postgresml: MIT).
- Where can I find alternatives to pgvector or postgresml?
- GraphCanon lists graph-backed alternatives at pgvector alternatives and postgresml alternatives (pgvector markdown twin, postgresml 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, pgvector or postgresml?
- pgvector: Active. postgresml: 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 pgvector and postgresml?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pgvector trust report; postgresml trust report.