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Comparison

chainlit vs langchain

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 langchain if langChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect.

Markdown twin · chainlit alternatives · langchain alternatives

GraphCanon updated today

chainlit logo

chainlit

Chainlit/chainlit

★ 12kpushed Jun 11, 2026
vs
langchain logo

langchain

langchain-ai/langchain

★ 142kpushed Jul 11, 2026

Trust & integrity

Signalchainlitlangchain
Maintenance
Active (29d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No criticals
As of today · osv@v1
No lockfile
As of today · none
chainlit trust reportlangchain trust reportTrust methodology

Tagline

chainlit
Build Conversational AI in minutes ⚡️
langchain
The agent engineering platform.

Stars

chainlit
12k
langchain
142k

Forks

chainlit
1.7k
langchain
24k

Open issues

chainlit
126
langchain
419

Language

chainlit
Python
langchain
Python

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.
langchain
LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect

Persona

chainlit
-
langchain
-

Runtime

chainlit
-
langchain
-

License

chainlit
Apache-2.0
langchain
MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.

Last pushed

chainlit
Jun 11, 2026
langchain
Jul 11, 2026

Categories

chainlit
AI Agents, LLM Frameworks
langchain
AI Agents, LLM Frameworks

Trust and health

Maintenance

chainlit
Active (82%)
langchain
Very active (96%)

Days since push

chainlit
29d
langchain
0d

Open issues (now)

chainlit
126
langchain
419

Security scan

chainlit
No criticals
langchain
No lockfile

Full report

chainlit
Trust report
langchain
Trust report

Shared compatibility

  • Python · chainlit: Python runtime · langchain: Python runtime

Choose chainlit if…

  • License: chainlit is Apache-2.0, langchain is MIT.
  • Tags unique to chainlit: langchain, llm, openai, openai-chatgpt.
  • - 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.
GitHubDetails

Choose langchain if…

  • License: langchain is MIT, chainlit is Apache-2.0.
  • Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
  • Tags unique to langchain: agents, ai-agents, anthropic, deepagents.
  • * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.

When NOT to use langchain

  • * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
  • * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
  • * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
GitHubDetails

Explore

chainlit trust report →langchain trust report →AI Agents category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: chainlit 12k · langchain 142k (synced Jul 11, 2026).

Common questions

What is the difference between chainlit and langchain?
chainlit: Build Conversational AI in minutes ⚡️. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories.
When should I choose chainlit over langchain?
Choose chainlit over langchain when License: chainlit is Apache-2.0, langchain is MIT; Tags unique to chainlit: langchain, llm, openai, openai-chatgpt; - When you want to develop conversational AI applications rapidly using familiar Python syntax.
When should I choose langchain over chainlit?
Choose langchain over chainlit when License: langchain is MIT, chainlit is Apache-2.0; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, ai-agents, anthropic, deepagents; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
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 langchain?
* When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
Is chainlit or langchain more popular on GitHub?
langchain has more GitHub stars (141,504 vs 12,293). Stars measure visibility, not whether either tool fits your constraints.
Are chainlit and langchain open source?
Yes - both are open-source projects on GitHub (chainlit: Apache-2.0, langchain: MIT).
Where can I find alternatives to chainlit or langchain?
GraphCanon lists graph-backed alternatives at chainlit alternatives and langchain alternatives (chainlit markdown twin, langchain 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 langchain?
chainlit: Active. langchain: Very active. 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 langchain?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chainlit trust report; langchain trust report.