Comparison
SeaGOAT vs search
Verdict
Pick SeaGOAT if seaGOAT leverages local-first processing and semantic embeddings to offer an enhanced understanding of codebases compared to traditional grep-based searches; pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
Markdown twin · SeaGOAT alternatives · search alternatives
GraphCanon updated 4w
Trust & integrity
| Signal | SeaGOAT | search |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1mo · github_public_v1 | Slowing (138d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Personal account As of 4w · 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
- SeaGOAT
- local-first semantic code search engine
- search
- Go library for embedded vector search and semantic embeddings with llamacpp
Stars
- SeaGOAT
- 1.3k
- search
- 555
Forks
- SeaGOAT
- 92
- search
- 24
Open issues
- SeaGOAT
- 44
- search
- 5
Language
- SeaGOAT
- Python
- search
- Go
Adopt for
- SeaGOAT
- SeaGOAT leverages local-first processing and semantic embeddings to offer an enhanced understanding of codebases compared to traditional grep-based searches.
- search
- search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
Persona
- SeaGOAT
- -
- search
- -
Runtime
- SeaGOAT
- -
- search
- -
License
- SeaGOAT
- MIT
- search
- MIT
Last pushed
- SeaGOAT
- Jul 21, 2026
- search
- Mar 6, 2026
Categories
- SeaGOAT
- Data & Retrieval, Vector Databases
- search
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- SeaGOAT
- Very active (96%)
- search
- Slowing (36%)
Days since push
- SeaGOAT
- 1d
- search
- 138d
Open issues (now)
- SeaGOAT
- 44
- search
- 5
Full report
- SeaGOAT
- Trust report
- search
- Trust report
Choose SeaGOAT if…
- SeaGOAT is primarily Python; search is Go.
- Requirements: Runs locally and only requires a machine setup with Python environment and possibly extra dependencies for vector database operations..
- Tags unique to SeaGOAT: code-search, vector-embeddings.
- When you are working with large codebases that require a deeper understanding than regular expressions can provide, SeaGOAT's semantic capabilities shine.
When NOT to use SeaGOAT
- If your primary need is simple pattern matching with text-based operations rather than deeper code semantics, you might find SeaGOAT overkill and prefer a straightforward grep tool instead.
- When real-time updates or cloud integration are required for continuous monitoring or remote access to search data, SeaGOAT's local-first approach could be limiting.
Choose search if…
- search is primarily Go; SeaGOAT is Python.
- Tags unique to search: bert, gguf, gpu, llamacpp.
- Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go
When NOT to use search
- Avoid if relying on out-of-the-box support beyond Go or requiring heavy customization that is not supported directly by llama.cpp's capabilities
- Not suitable when a more comprehensive database service with extensive querying and integration features is desired over an embedded solution
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kantord/SeaGOAT) · observed Jul 22, 2026
- GitHub forks (kantord/SeaGOAT) · observed Jul 22, 2026
- Last push (kantord/SeaGOAT) · observed Jul 21, 2026
- License file (MIT) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (kelindar/search) · observed Jul 23, 2026
- GitHub forks (kelindar/search) · observed Jul 23, 2026
- Last push (kelindar/search) · observed Mar 6, 2026
- License file (MIT) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: SeaGOAT 1.3k · search 555 (synced Jul 22, 2026).
Common questions
- What is the difference between SeaGOAT and search?
- SeaGOAT: local-first semantic code search engine. search: Go library for embedded vector search and semantic embeddings with llamacpp. See the comparison table for live GitHub stats and shared categories.
- When should I choose SeaGOAT over search?
- Choose SeaGOAT over search when SeaGOAT is primarily Python; search is Go; Requirements: Runs locally and only requires a machine setup with Python environment and possibly extra dependencies for vector database operations.; Tags unique to SeaGOAT: code-search, vector-embeddings; When you are working with large codebases that require a deeper understanding than regular expressions can provide, SeaGOAT's semantic capabilities shine.
- When should I choose search over SeaGOAT?
- Choose search over SeaGOAT when search is primarily Go; SeaGOAT is Python; Tags unique to search: bert, gguf, gpu, llamacpp; Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go.
- When should I avoid SeaGOAT?
- If your primary need is simple pattern matching with text-based operations rather than deeper code semantics, you might find SeaGOAT overkill and prefer a straightforward grep tool instead. When real-time updates or cloud integration are required for continuous monitoring or remote access to search data, SeaGOAT's local-first approach could be limiting.
- When should I avoid search?
- Avoid if relying on out-of-the-box support beyond Go or requiring heavy customization that is not supported directly by llama.cpp's capabilities Not suitable when a more comprehensive database service with extensive querying and integration features is desired over an embedded solution
- Is SeaGOAT or search more popular on GitHub?
- SeaGOAT has more GitHub stars (1,302 vs 555). Stars measure visibility, not whether either tool fits your constraints.
- Are SeaGOAT and search open source?
- Yes - both are open-source projects on GitHub (SeaGOAT: MIT, search: MIT).
- Where can I find alternatives to SeaGOAT or search?
- GraphCanon lists graph-backed alternatives at SeaGOAT alternatives and search alternatives (SeaGOAT markdown twin, search 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, SeaGOAT or search?
- SeaGOAT: Very active. search: Slowing. 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 SeaGOAT and search?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SeaGOAT trust report; search trust report.