Comparison
chainlit vs smartgpt
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 smartgpt if smartGPT stands out in its use of Rust as a foundational language, enabling more efficient and secure plugin-based task execution for large language models.
Markdown twin · chainlit alternatives · smartgpt alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | chainlit | smartgpt |
|---|---|---|
| Maintenance | Very active (3d since push) As of 2w · github_public_v1 | Dormant (856d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | No lockfile (source not queried) 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
- chainlit
- Build Conversational AI in minutes ⚡️
- smartgpt
- A program that provides LLMs with the ability to complete complex tasks using plugins.
Stars
- chainlit
- 12k
- smartgpt
- 1.7k
Forks
- chainlit
- 1.7k
- smartgpt
- 124
Open issues
- chainlit
- 142
- smartgpt
- 10
Language
- chainlit
- Python
- smartgpt
- Rust
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.
- smartgpt
- SmartGPT stands out in its use of Rust as a foundational language, enabling more efficient and secure plugin-based task execution for large language models.
Persona
- chainlit
- -
- smartgpt
- -
Runtime
- chainlit
- -
- smartgpt
- -
License
- chainlit
- Apache-2.0
- smartgpt
- MIT
Last pushed
- chainlit
- Aug 4, 2026
- smartgpt
- Apr 11, 2024
Categories
- chainlit
- AI Agents, LLM Frameworks
- smartgpt
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- chainlit
- Very active (96%)
- smartgpt
- Dormant (18%)
Days since push
- chainlit
- 3d
- smartgpt
- 856d
Open issues (now)
- chainlit
- 142
- smartgpt
- 10
Stars delta
- chainlit
- Unknown
- smartgpt
- 0 (30d)
Open issues delta
- chainlit
- Unknown
- smartgpt
- -1 (30d)
Owner type
- chainlit
- Organization
- smartgpt
- User
OSV dependency advisories
- chainlit
- No published findings from this source as of 2026-07-11
- smartgpt
- No lockfile (source not queried)
Full report
- chainlit
- Trust report
- smartgpt
- Trust report
Choose chainlit if…
- chainlit is primarily Python; smartgpt is Rust.
- License: chainlit is Apache-2.0, smartgpt is MIT.
- Tags unique to chainlit: chatgpt, langchain, openai-chatgpt, python.
- - 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 smartgpt if…
- smartgpt is primarily Rust; chainlit is Python.
- License: smartgpt is MIT, chainlit is Apache-2.0.
- Tags unique to smartgpt: ai, gpt-3, gpt-4, rust.
- smartgpt ships Docker support for self-hosted deployment.
- When you need a system built with Rust to leverage both performance and security while extending LLM capabilities.
When NOT to use smartgpt
- If your development team lacks experience in Rust, which could impede project progress.
- When the task does not require performance optimizations or secure interactions that come with SmartGPT’s architecture, opting for simpler LLM frameworks might be more appropriate.
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 Aug 8, 2026
- GitHub forks (Chainlit/chainlit) · observed Aug 8, 2026
- Last push (Chainlit/chainlit) · observed Aug 4, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Cormanz/smartgpt) · observed Aug 15, 2026
- GitHub forks (Cormanz/smartgpt) · observed Aug 15, 2026
- Last push (Cormanz/smartgpt) · observed Apr 11, 2024
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: chainlit 12k · smartgpt 1.7k (synced Aug 8, 2026).
Common questions
- What is the difference between chainlit and smartgpt?
- chainlit: Build Conversational AI in minutes ⚡️. smartgpt: A program that provides LLMs with the ability to complete complex tasks using plugins.. See the comparison table for live GitHub stats and shared categories.
- When should I choose chainlit over smartgpt?
- Choose chainlit over smartgpt when chainlit is primarily Python; smartgpt is Rust; License: chainlit is Apache-2.0, smartgpt is MIT; Tags unique to chainlit: chatgpt, langchain, openai-chatgpt, python; - When you want to develop conversational AI applications rapidly using familiar Python syntax.
- When should I choose smartgpt over chainlit?
- Choose smartgpt over chainlit when smartgpt is primarily Rust; chainlit is Python; License: smartgpt is MIT, chainlit is Apache-2.0; Tags unique to smartgpt: ai, gpt-3, gpt-4, rust; smartgpt ships Docker support for self-hosted deployment; When you need a system built with Rust to leverage both performance and security while extending LLM capabilities.
- 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 smartgpt?
- If your development team lacks experience in Rust, which could impede project progress. When the task does not require performance optimizations or secure interactions that come with SmartGPT’s architecture, opting for simpler LLM frameworks might be more appropriate.
- Is chainlit or smartgpt more popular on GitHub?
- chainlit has more GitHub stars (12,373 vs 1,736). Stars measure visibility, not whether either tool fits your constraints.
- Are chainlit and smartgpt open source?
- Yes - both are open-source projects on GitHub (chainlit: Apache-2.0, smartgpt: MIT).
- Where can I find alternatives to chainlit or smartgpt?
- GraphCanon lists graph-backed alternatives at chainlit alternatives and smartgpt alternatives (chainlit markdown twin, smartgpt 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 smartgpt?
- chainlit: Very active. smartgpt: Dormant. 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 smartgpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chainlit trust report; smartgpt trust report.