Comparison
chainlit vs langchain-decorators
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-decorators if langchain-decorators: syntax enhancer for better LangChain prompt engineering.
Markdown twin · chainlit alternatives · langchain-decorators alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | chainlit | langchain-decorators |
|---|---|---|
| Maintenance | Active (12d since push) As of Sep 8, 2026 · github_public_v1 | Slowing (142d since push) As of Sep 8, 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 8, 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 ⚡️
- langchain-decorators
- syntactic sugar for langchain
Stars
- chainlit
- 12k
- langchain-decorators
- 232
Forks
- chainlit
- 1.7k
- langchain-decorators
- 13
Open issues
- chainlit
- 144
- langchain-decorators
- 8
Language
- chainlit
- Python
- langchain-decorators
- 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-decorators
- langchain-decorators: syntax enhancer for better LangChain prompt engineering.
Persona
- chainlit
- -
- langchain-decorators
- -
Runtime
- chainlit
- -
- langchain-decorators
- -
License
- chainlit
- Apache-2.0
- langchain-decorators
- MIT
Last pushed
- chainlit
- Aug 26, 2026
- langchain-decorators
- Apr 18, 2026
Categories
- chainlit
- AI Agents, LLM Frameworks
- langchain-decorators
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- chainlit
- Active (82%)
- langchain-decorators
- Slowing (36%)
Days since push
- chainlit
- 12d
- langchain-decorators
- 142d
Open issues (now)
- chainlit
- 144
- langchain-decorators
- 8
Stars delta
- chainlit
- +62 (30d)
- langchain-decorators
- -1 (30d)
Owner type
- chainlit
- Organization
- langchain-decorators
- User
OSV dependency advisories
- chainlit
- No published findings from this source as of 2026-07-11
- langchain-decorators
- Published findings
Full report
- chainlit
- Trust report
- langchain-decorators
- Trust report
Shared compatibility
- Python · chainlit: Python runtime · langchain-decorators: Python runtime
Choose chainlit if…
- License: chainlit is Apache-2.0, langchain-decorators is MIT.
- Tags unique to chainlit: chatgpt, openai, openai-chatgpt, python.
- 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 langchain-decorators if…
- License: langchain-decorators is MIT, chainlit is Apache-2.0.
- Tags unique to langchain-decorators: prompt-engineering.
- Also covers Developer Tools.
- Wants to streamline and simplify prompt engineering with LangChain.
When NOT to use langchain-decorators
- Needs tools without the added layer of abstraction decorators provide.
- Seeks lower-level control over each function call without syntactic sugar.
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 (ju-bezdek/langchain-decorators) · observed Sep 20, 2026
- GitHub forks (ju-bezdek/langchain-decorators) · observed Sep 20, 2026
- Last push (ju-bezdek/langchain-decorators) · observed Apr 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: chainlit 12k · langchain-decorators 232 (synced Sep 20, 2026).
Common questions
- What is the difference between chainlit and langchain-decorators?
- chainlit: Build Conversational AI in minutes ⚡️. langchain-decorators: syntactic sugar for langchain. See the comparison table for live GitHub stats and shared categories.
- When should I choose chainlit over langchain-decorators?
- Choose chainlit over langchain-decorators when License: chainlit is Apache-2.0, langchain-decorators is MIT; Tags unique to chainlit: chatgpt, openai, openai-chatgpt, python; Also covers AI Agents; - When you want to develop conversational AI applications rapidly using familiar Python syntax.
- When should I choose langchain-decorators over chainlit?
- Choose langchain-decorators over chainlit when License: langchain-decorators is MIT, chainlit is Apache-2.0; Tags unique to langchain-decorators: prompt-engineering; Also covers Developer Tools; Wants to streamline and simplify prompt engineering with LangChain.
- 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-decorators?
- Needs tools without the added layer of abstraction decorators provide. Seeks lower-level control over each function call without syntactic sugar.
- Is chainlit or langchain-decorators more popular on GitHub?
- chainlit has more GitHub stars (12,435 vs 232). Stars measure visibility, not whether either tool fits your constraints.
- Are chainlit and langchain-decorators open source?
- Yes - both are open-source projects on GitHub (chainlit: Apache-2.0, langchain-decorators: MIT).
- Where can I find alternatives to chainlit or langchain-decorators?
- GraphCanon lists graph-backed alternatives at chainlit alternatives and langchain-decorators alternatives (chainlit markdown twin, langchain-decorators 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-decorators?
- chainlit: Active. langchain-decorators: 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 langchain-decorators?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chainlit trust report; langchain-decorators trust report.