--- title: "system_prompts_leaks vs chainlit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/asgeirtj-system-prompts-leaks-vs-chainlit-chainlit" tools: ["asgeirtj-system-prompts-leaks", "chainlit-chainlit"] --- # system_prompts_leaks vs chainlit *GraphCanon updated Aug 16, 2026* ## Verdict Pick system_prompts_leaks if system_prompts_leaks is a repository of extracted system prompts from various AI agents and large language models (LLMs), including Claude, ChatGPT, Gemini, Grok, among others. The repository is maintained in JavaScript,; 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. [system_prompts_leaks](https://github.com/asgeirtj/system_prompts_leaks) reports 63k GitHub stars, 10k forks, and 55 open issues, last pushed Aug 15, 2026. [chainlit](https://docs.chainlit.io) has 12k stars, 1.7k forks, and 142 open issues, last pushed Aug 4, 2026. Figures are from public GitHub metadata via [system_prompts_leaks's repository](https://github.com/asgeirtj/system_prompts_leaks) and [chainlit's repository](https://github.com/Chainlit/chainlit). | | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | [chainlit](/tools/chainlit-chainlit.md) | | --- | --- | --- | | Tagline | Extracted system prompts from various AI agents and LLMs | Build Conversational AI in minutes ⚡️ | | Stars | 62,977 | 12,373 | | Forks | 10,337 | 1,728 | | Open issues | 55 | 142 | | Language | JavaScript | Python | | Adopt for | system_prompts_leaks is a repository of extracted system prompts from various AI agents and large language models (LLMs), including Claude, ChatGPT, Gemini, Grok, among others. The repository is maintained in JavaScript, | 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. | | Persona | - | - | | Runtime | - | - | | License | The license under which this repository operates (CC0-1.0) allows use, reproduction, and distribution with no attribution required. This means you can integrate the extracted system prompts for any of | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [system_prompts_leaks](/tools/asgeirtj-system-prompts-leaks.md) | [chainlit](/tools/chainlit-chainlit.md) | | --- | --- | --- | | Days since push | 1d | 3d | | Open issues (now) | 55 | 142 | | Stars delta | +4.6k (30d) | Unknown | | Open issues delta | +20 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/asgeirtj-system-prompts-leaks/trust.md) | [trust report](/tools/chainlit-chainlit/trust.md) | ## Decision facts: system_prompts_leaks - **Adopt for:** system_prompts_leaks is a repository of extracted system prompts from various AI agents and large language models (LLMs), including Claude, ChatGPT, Gemini, Grok, among others. The repository is maintained in JavaScript, - **License detail:** The license under which this repository operates (CC0-1.0) allows use, reproduction, and distribution with no attribution required. This means you can integrate the extracted system prompts for any of ## 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. ## Choose when ### Choose system_prompts_leaks if… - system_prompts_leaks is primarily JavaScript; chainlit is Python. - License: system_prompts_leaks is CC0-1.0, chainlit is Apache-2.0. - Tags unique to system_prompts_leaks: ai-agents, anthropic, google, prompt-engineering. - When you need to understand or reverse-engineer the guidelines that certain AI agents or LLMs are operating under for educational purposes. ### Choose chainlit if… - chainlit is primarily Python; system_prompts_leaks is JavaScript. - License: chainlit is Apache-2.0, system_prompts_leaks is CC0-1.0. - 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 system_prompts_leaks - If you are looking for a repository focused on model training data rather than just system prompts, as this tool only contains extracted prompts and not the datasets used for training. - In scenarios where strict confidentiality is required, as using or modifying leaked prompts without authorization might compromise ethical standards or violate usage policies. ## 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. ## Common questions ### What is the difference between system_prompts_leaks and chainlit? system_prompts_leaks: Extracted system prompts from various AI agents and LLMs. chainlit: Build Conversational AI in minutes ⚡️. See the comparison table for live GitHub stats and shared categories. ### When should I choose system_prompts_leaks over chainlit? Choose system_prompts_leaks over chainlit when system_prompts_leaks is primarily JavaScript; chainlit is Python; License: system_prompts_leaks is CC0-1.0, chainlit is Apache-2.0; Tags unique to system_prompts_leaks: ai-agents, anthropic, google, prompt-engineering; When you need to understand or reverse-engineer the guidelines that certain AI agents or LLMs are operating under for educational purposes. ### When should I choose chainlit over system_prompts_leaks? Choose chainlit over system_prompts_leaks when chainlit is primarily Python; system_prompts_leaks is JavaScript; License: chainlit is Apache-2.0, system_prompts_leaks is CC0-1.0; 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 avoid system_prompts_leaks? If you are looking for a repository focused on model training data rather than just system prompts, as this tool only contains extracted prompts and not the datasets used for training. In scenarios where strict confidentiality is required, as using or modifying leaked prompts without authorization might compromise ethical standards or violate usage policies. ### 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. ### Is system_prompts_leaks or chainlit more popular on GitHub? system_prompts_leaks has more GitHub stars (62,977 vs 12,373). Stars measure visibility, not whether either tool fits your constraints. ### Are system_prompts_leaks and chainlit open source? Yes - both are open-source projects on GitHub (system_prompts_leaks: CC0-1.0, chainlit: Apache-2.0). ### Where can I find alternatives to system_prompts_leaks or chainlit? GraphCanon lists graph-backed alternatives at [system_prompts_leaks alternatives](/tools/asgeirtj-system-prompts-leaks/alternatives) and [chainlit alternatives](/tools/chainlit-chainlit/alternatives) ([system_prompts_leaks markdown twin](/tools/asgeirtj-system-prompts-leaks/alternatives.md), [chainlit markdown twin](/tools/chainlit-chainlit/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/asgeirtj-system-prompts-leaks-vs-chainlit-chainlit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, system_prompts_leaks or chainlit? system_prompts_leaks: Very active. chainlit: 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 system_prompts_leaks and chainlit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [system_prompts_leaks trust report](/tools/asgeirtj-system-prompts-leaks/trust); [chainlit trust report](/tools/chainlit-chainlit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=asgeirtj-system-prompts-leaks`](/api/graphcanon/graph?tool=asgeirtj-system-prompts-leaks) - 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/_