Comparison
lingoose vs langchaingo
Verdict
Pick lingoose if linGoose is a Go-centric framework specialized for building and managing AI/LLM applications. It supports specific libraries like OpenAI and Pinecone; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Markdown twin · lingoose alternatives · langchaingo alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | lingoose | langchaingo |
|---|---|---|
| Maintenance | Slowing (160d since push) As of 2d · github_public_v1 | Slowing (208d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2d · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- lingoose
- Go framework for building AI/LLM applications
- langchaingo
- LangChain for Go, the easiest way to write LLM-based programs in Go
Stars
- lingoose
- 834
- langchaingo
- 9.6k
Forks
- lingoose
- 76
- langchaingo
- 1.1k
Open issues
- lingoose
- 16
- langchaingo
- 410
Language
- lingoose
- Go
- langchaingo
- Go
Adopt for
- lingoose
- LinGoose is a Go-centric framework specialized for building and managing AI/LLM applications. It supports specific libraries like OpenAI and Pinecone.
- langchaingo
- LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Persona
- lingoose
- -
- langchaingo
- -
Runtime
- lingoose
- -
- langchaingo
- -
License
- lingoose
- MIT
- langchaingo
- MIT
Last pushed
- lingoose
- Mar 15, 2026
- langchaingo
- Jan 11, 2026
Categories
- lingoose
- LLM Frameworks, Model Training
- langchaingo
- Developer Tools, LLM Frameworks
Trust and health
Days since push
- lingoose
- 160d
- langchaingo
- 208d
Open issues (now)
- lingoose
- 16
- langchaingo
- 410
Stars delta
- lingoose
- -1 (30d)
- langchaingo
- Unknown
Open issues delta
- lingoose
- 0 (30d)
- langchaingo
- Unknown
OSV dependency advisories
- lingoose
- No lockfile (source not queried)
- langchaingo
- Published findings
Full report
- lingoose
- Trust report
- langchaingo
- Trust report
Choose lingoose if…
- Tags unique to lingoose: chatgpt, embeddings, index, llm.
- Also covers Model Training.
- You are working primarily with the Go language in your development environment.
When NOT to use lingoose
- If your team is not proficient in Go, as LinGoose relies heavily on this language for its operations.
- You need extensive features tailored to other programming languages besides Go; LinGoose does not offer equivalent support.
Choose langchaingo if…
- Tags unique to langchaingo: langchain.
- Also covers Developer Tools.
- - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.
When NOT to use langchaingo
- - If your project strictly adheres to another programming language where other implementations of LangChain are available.
- - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (henomis/lingoose) · observed Aug 22, 2026
- GitHub forks (henomis/lingoose) · observed Aug 22, 2026
- Last push (henomis/lingoose) · observed Mar 15, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tmc/langchaingo) · observed Aug 8, 2026
- GitHub forks (tmc/langchaingo) · observed Aug 8, 2026
- Last push (tmc/langchaingo) · observed Jan 11, 2026
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lingoose 834 · langchaingo 9.6k (synced Aug 22, 2026).
Common questions
- What is the difference between lingoose and langchaingo?
- lingoose: Go framework for building AI/LLM applications. langchaingo: LangChain for Go, the easiest way to write LLM-based programs in Go. See the comparison table for live GitHub stats and shared categories.
- When should I choose lingoose over langchaingo?
- Choose lingoose over langchaingo when Tags unique to lingoose: chatgpt, embeddings, index, llm; Also covers Model Training; You are working primarily with the Go language in your development environment.
- When should I choose langchaingo over lingoose?
- Choose langchaingo over lingoose when Tags unique to langchaingo: langchain; Also covers Developer Tools; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.
- When should I avoid lingoose?
- If your team is not proficient in Go, as LinGoose relies heavily on this language for its operations. You need extensive features tailored to other programming languages besides Go; LinGoose does not offer equivalent support.
- When should I avoid langchaingo?
- - If your project strictly adheres to another programming language where other implementations of LangChain are available. - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.
- Is lingoose or langchaingo more popular on GitHub?
- langchaingo has more GitHub stars (9,600 vs 834). Stars measure visibility, not whether either tool fits your constraints.
- Are lingoose and langchaingo open source?
- Yes - both are open-source projects on GitHub (lingoose: MIT, langchaingo: MIT).
- Where can I find alternatives to lingoose or langchaingo?
- GraphCanon lists graph-backed alternatives at lingoose alternatives and langchaingo alternatives (lingoose markdown twin, langchaingo 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, lingoose or langchaingo?
- lingoose: Slowing. langchaingo: 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 lingoose and langchaingo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lingoose trust report; langchaingo trust report.