Home/Compare/system_prompts_leaks vs chainlit

Comparison

system_prompts_leaks vs chainlit

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.

Markdown twin · system_prompts_leaks alternatives · chainlit alternatives

GraphCanon updated 5d

system_prompts_leaks logo

system_prompts_leaks

asgeirtj/system_prompts_leaks

63kpushed Aug 15, 2026
vs
chainlit logo

chainlit

Chainlit/chainlit

12kpushed Aug 4, 2026

Trust & integrity

Signalsystem_prompts_leakschainlit
Maintenance
Very active (1d since push)
As of 5d · github_public_v1
Very active (3d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 5d · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
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

system_prompts_leaks
Extracted system prompts from various AI agents and LLMs
chainlit
Build Conversational AI in minutes ⚡️

Stars

system_prompts_leaks
63k
chainlit
12k

Forks

system_prompts_leaks
10k
chainlit
1.7k

Open issues

system_prompts_leaks
55
chainlit
142

Language

system_prompts_leaks
JavaScript
chainlit
Python

Adopt for

system_prompts_leaks
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
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

system_prompts_leaks
-
chainlit
-

Runtime

system_prompts_leaks
-
chainlit
-

License

system_prompts_leaks
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
chainlit
Apache-2.0

Last pushed

system_prompts_leaks
Aug 15, 2026
chainlit
Aug 4, 2026

Categories

system_prompts_leaks
AI Agents, LLM Frameworks
chainlit
AI Agents, LLM Frameworks

Trust and health

Days since push

system_prompts_leaks
1d
chainlit
3d

Open issues (now)

system_prompts_leaks
55
chainlit
142

Stars delta

system_prompts_leaks
+4.6k (30d)
chainlit
Unknown

Open issues delta

system_prompts_leaks
+20 (30d)
chainlit
Unknown

Owner type

system_prompts_leaks
User
chainlit
Organization

OSV dependency advisories

system_prompts_leaks
No lockfile (source not queried)
chainlit
No published findings from this source as of 2026-07-11

Full report

system_prompts_leaks
Trust report
chainlit
Trust report

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.

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.

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 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.

Explore

Sources

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

GitHub stars on cards: system_prompts_leaks 63k · chainlit 12k (synced Aug 16, 2026).

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 and chainlit alternatives (system_prompts_leaks markdown twin, chainlit 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, 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; chainlit trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.