Comparison
codespaces-langchain vs langchaingo
Verdict
Pick codespaces-langchain if codespaces-langchain is tailored for streamlined integration of LangChain within the GitHub Codespaces environment; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Markdown twin · codespaces-langchain alternatives · langchaingo alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | codespaces-langchain | langchaingo |
|---|---|---|
| Maintenance | Dormant (1241d since push) As of 1w · github_public_v1 | Slowing (208d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 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
- codespaces-langchain
- A Codespaces template for getting up-and-running with LangChain in seconds
- langchaingo
- LangChain for Go, the easiest way to write LLM-based programs in Go
Stars
- codespaces-langchain
- 113
- langchaingo
- 9.6k
Forks
- codespaces-langchain
- 22
- langchaingo
- 1.1k
Open issues
- codespaces-langchain
- 5
- langchaingo
- 410
Language
- codespaces-langchain
- -
- langchaingo
- Go
Adopt for
- codespaces-langchain
- codespaces-langchain is tailored for streamlined integration of LangChain within the GitHub Codespaces environment.
- langchaingo
- LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Persona
- codespaces-langchain
- -
- langchaingo
- -
Runtime
- codespaces-langchain
- -
- langchaingo
- -
License
- codespaces-langchain
- -
- langchaingo
- MIT
Last pushed
- codespaces-langchain
- Mar 22, 2023
- langchaingo
- Jan 11, 2026
Categories
- codespaces-langchain
- Developer Tools, LLM Frameworks
- langchaingo
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- codespaces-langchain
- Dormant (18%)
- langchaingo
- Slowing (36%)
Days since push
- codespaces-langchain
- 1241d
- langchaingo
- 208d
Open issues (now)
- codespaces-langchain
- 5
- langchaingo
- 410
Stars delta
- codespaces-langchain
- 0 (30d)
- langchaingo
- Unknown
Open issues delta
- codespaces-langchain
- 0 (30d)
- langchaingo
- Unknown
OSV dependency advisories
- codespaces-langchain
- No published findings from this source as of 2026-07-11
- langchaingo
- Published findings
Full report
- codespaces-langchain
- Trust report
- langchaingo
- Trust report
Shared compatibility
- LangChain · codespaces-langchain: LangChain integration · langchaingo: LangChain integration
Choose codespaces-langchain if…
- Requirements: API keys from OpenAI (and optionally SerpAPI) are necessary to operate this tool..
- Tags unique to codespaces-langchain: codespaces, llm, notebooks, openai-api.
- This tool is ideal when working specifically with LangChain and wanting to leverage GitHub Codespaces for a seamless setup experience.
When NOT to use codespaces-langchain
- Avoid this if your project requires customization beyond what's provided by default, as this template may not cover all specific needs without significant modification.
- They might be less suitable for users new to both LangChain and GitHub Codespaces, who need more detailed onboarding support than the repository README provides.
Choose langchaingo if…
- Tags unique to langchaingo: ai, go, golang.
- - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.
- More GitHub stars (9.6k vs 113) - visibility, not fit.
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 (lostintangent/codespaces-langchain) · observed Aug 15, 2026
- GitHub forks (lostintangent/codespaces-langchain) · observed Aug 15, 2026
- Last push (lostintangent/codespaces-langchain) · observed Mar 22, 2023
- License file (unknown) · observed Aug 15, 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: codespaces-langchain 113 · langchaingo 9.6k (synced Aug 15, 2026).
Common questions
- What is the difference between codespaces-langchain and langchaingo?
- codespaces-langchain: A Codespaces template for getting up-and-running with LangChain in seconds. 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 codespaces-langchain over langchaingo?
- Choose codespaces-langchain over langchaingo when Requirements: API keys from OpenAI (and optionally SerpAPI) are necessary to operate this tool.; Tags unique to codespaces-langchain: codespaces, llm, notebooks, openai-api; This tool is ideal when working specifically with LangChain and wanting to leverage GitHub Codespaces for a seamless setup experience.
- When should I choose langchaingo over codespaces-langchain?
- Choose langchaingo over codespaces-langchain when Tags unique to langchaingo: ai, go, golang; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go; More GitHub stars (9.6k vs 113) - visibility, not fit.
- When should I avoid codespaces-langchain?
- Avoid this if your project requires customization beyond what's provided by default, as this template may not cover all specific needs without significant modification. They might be less suitable for users new to both LangChain and GitHub Codespaces, who need more detailed onboarding support than the repository README provides.
- 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 codespaces-langchain or langchaingo more popular on GitHub?
- langchaingo has more GitHub stars (9,600 vs 113). Stars measure visibility, not whether either tool fits your constraints.
- Are codespaces-langchain and langchaingo open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to codespaces-langchain or langchaingo?
- GraphCanon lists graph-backed alternatives at codespaces-langchain alternatives and langchaingo alternatives (codespaces-langchain 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, codespaces-langchain or langchaingo?
- codespaces-langchain: Dormant. 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 codespaces-langchain and langchaingo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: codespaces-langchain trust report; langchaingo trust report.