Comparison
chainlit vs langchaingo
Verdict
Pick chainlit if chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Markdown twin · chainlit alternatives · langchaingo alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | chainlit | langchaingo |
|---|---|---|
| Maintenance | Active (12d since push) As of Sep 8, 2026 · github_public_v1 | Slowing (239d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | Published findings 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
- chainlit
- Build Conversational AI in minutes ⚡️
- langchaingo
- LangChain for Go, the easiest way to write LLM-based programs in Go
Stars
- chainlit
- 12k
- langchaingo
- 9.7k
Forks
- chainlit
- 1.7k
- langchaingo
- 1.1k
Open issues
- chainlit
- 144
- langchaingo
- 413
Language
- chainlit
- Python
- langchaingo
- Go
Adopt for
- chainlit
- Chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps.
- langchaingo
- LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Persona
- chainlit
- -
- langchaingo
- -
Runtime
- chainlit
- -
- langchaingo
- -
License
- chainlit
- Apache-2.0
- langchaingo
- MIT
Last pushed
- chainlit
- Aug 26, 2026
- langchaingo
- Jan 11, 2026
Categories
- chainlit
- AI Agents, LLM Frameworks
- langchaingo
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- chainlit
- Active (82%)
- langchaingo
- Slowing (36%)
Days since push
- chainlit
- 12d
- langchaingo
- 239d
Open issues (now)
- chainlit
- 144
- langchaingo
- 413
Stars delta
- chainlit
- +62 (30d)
- langchaingo
- +70 (30d)
Open issues delta
- chainlit
- +2 (30d)
- langchaingo
- +3 (30d)
Owner type
- chainlit
- Organization
- langchaingo
- User
OSV dependency advisories
- chainlit
- No published findings from this source as of 2026-07-11
- langchaingo
- Published findings
Full report
- chainlit
- Trust report
- langchaingo
- Trust report
Choose chainlit if…
- chainlit is primarily Python; langchaingo is Go.
- License: chainlit is Apache-2.0, langchaingo is MIT.
- Tags unique to chainlit: chatgpt, llm, openai, openai-chatgpt.
- Also covers AI Agents.
- - When you want to develop conversational AI applications rapidly using familiar Python syntax.
When NOT to use chainlit
- - Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development.
- - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds.
Choose langchaingo if…
- langchaingo is primarily Go; chainlit is Python.
- License: langchaingo is MIT, chainlit is Apache-2.0.
- Tags unique to langchaingo: ai, go, golang.
- 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 (Chainlit/chainlit) · observed Sep 20, 2026
- GitHub forks (Chainlit/chainlit) · observed Sep 20, 2026
- Last push (Chainlit/chainlit) · observed Aug 26, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tmc/langchaingo) · observed Sep 20, 2026
- GitHub forks (tmc/langchaingo) · observed Sep 20, 2026
- Last push (tmc/langchaingo) · observed Jan 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: chainlit 12k · langchaingo 9.7k (synced Sep 20, 2026).
Common questions
- What is the difference between chainlit and langchaingo?
- chainlit: Build Conversational AI in minutes ⚡️. 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 chainlit over langchaingo?
- Choose chainlit over langchaingo when chainlit is primarily Python; langchaingo is Go; License: chainlit is Apache-2.0, langchaingo is MIT; Tags unique to chainlit: chatgpt, llm, openai, openai-chatgpt; Also covers AI Agents; - When you want to develop conversational AI applications rapidly using familiar Python syntax.
- When should I choose langchaingo over chainlit?
- Choose langchaingo over chainlit when langchaingo is primarily Go; chainlit is Python; License: langchaingo is MIT, chainlit is Apache-2.0; Tags unique to langchaingo: ai, go, golang; 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 chainlit?
- - Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development. - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds.
- 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 chainlit or langchaingo more popular on GitHub?
- chainlit has more GitHub stars (12,435 vs 9,670). Stars measure visibility, not whether either tool fits your constraints.
- Are chainlit and langchaingo open source?
- Yes - both are open-source projects on GitHub (chainlit: Apache-2.0, langchaingo: MIT).
- Where can I find alternatives to chainlit or langchaingo?
- GraphCanon lists graph-backed alternatives at chainlit alternatives and langchaingo alternatives (chainlit 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, chainlit or langchaingo?
- chainlit: Active. 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 chainlit and langchaingo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chainlit trust report; langchaingo trust report.