--- title: "chainlit vs smartgpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chainlit-chainlit-vs-cormanz-smartgpt" tools: ["chainlit-chainlit", "cormanz-smartgpt"] --- # chainlit vs smartgpt *GraphCanon updated Aug 15, 2026* ## 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. [chainlit](https://docs.chainlit.io) reports 12k GitHub stars, 1.7k forks, and 142 open issues, last pushed Aug 4, 2026. [smartgpt](https://github.com/Cormanz/smartgpt) has 1.7k stars, 124 forks, and 10 open issues, last pushed Apr 11, 2024. Figures are from public GitHub metadata via [chainlit's repository](https://github.com/Chainlit/chainlit) and [smartgpt's repository](https://github.com/Cormanz/smartgpt). | | [chainlit](/tools/chainlit-chainlit.md) | [smartgpt](/tools/cormanz-smartgpt.md) | | --- | --- | --- | | Tagline | Build Conversational AI in minutes ⚡️ | A program that provides LLMs with the ability to complete complex tasks using plugins. | | Stars | 12,373 | 1,736 | | Forks | 1,728 | 124 | | Open issues | 142 | 10 | | Language | Python | Rust | | Adopt for | 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 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chainlit](/tools/chainlit-chainlit.md) | [smartgpt](/tools/cormanz-smartgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 3d | 856d | | Open issues (now) | 142 | 10 | | Stars delta | Unknown | 0 (30d) | | Open issues delta | Unknown | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/chainlit-chainlit/trust.md) | [trust report](/tools/cormanz-smartgpt/trust.md) | ## Decision facts: chainlit - **Adopt for:** 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. ## Decision facts: smartgpt - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/chainlit-chainlit/alternatives) and [smartgpt alternatives](/tools/cormanz-smartgpt/alternatives) ([chainlit markdown twin](/tools/chainlit-chainlit/alternatives.md), [smartgpt markdown twin](/tools/cormanz-smartgpt/alternatives.md)), 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](/compare/chainlit-chainlit-vs-cormanz-smartgpt.md) 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](/tools/chainlit-chainlit/trust); [smartgpt trust report](/tools/cormanz-smartgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chainlit-chainlit`](/api/graphcanon/graph?tool=chainlit-chainlit) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_