Home/Compare/awesome-gpt vs chatgpt_system_prompt

Comparison

awesome-gpt vs chatgpt_system_prompt

Verdict

Pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications; pick chatgpt_system_prompt if chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking.

Markdown twin · awesome-gpt alternatives · chatgpt_system_prompt alternatives

GraphCanon updated 2w

awesome-gpt logo

awesome-gpt

formulahendry/awesome-gpt

1.0kpushed May 29, 2024
vs
chatgpt_system_prompt logo

chatgpt_system_prompt

LouisShark/chatgpt_system_prompt

11kpushed Jul 27, 2026

Trust & integrity

Signalawesome-gptchatgpt_system_prompt
Maintenance
Dormant (799d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Personal account
As of 4w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

awesome-gpt
Curated list of GPT and related resources
chatgpt_system_prompt
A collection of GPT system prompts and knowledge on prompt injection leaking

Stars

awesome-gpt
1.0k
chatgpt_system_prompt
11k

Forks

awesome-gpt
75
chatgpt_system_prompt
1.5k

Open issues

awesome-gpt
27
chatgpt_system_prompt
1

Language

awesome-gpt
-
chatgpt_system_prompt
HTML

Adopt for

awesome-gpt
awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications.
chatgpt_system_prompt
chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking.

Persona

awesome-gpt
-
chatgpt_system_prompt
-

Runtime

awesome-gpt
-
chatgpt_system_prompt
-

License

awesome-gpt
-
chatgpt_system_prompt
MIT

Last pushed

awesome-gpt
May 29, 2024
chatgpt_system_prompt
Jul 27, 2026

Categories

awesome-gpt
Developer Tools, LLM Frameworks
chatgpt_system_prompt
Developer Tools

Trust and health

Maintenance

awesome-gpt
Dormant (18%)
chatgpt_system_prompt
Very active (96%)

Days since push

awesome-gpt
799d
chatgpt_system_prompt
0d

Open issues (now)

awesome-gpt
27
chatgpt_system_prompt
1

Full report

awesome-gpt
Trust report
chatgpt_system_prompt
Trust report

Shared compatibility

  • ChatGPT · awesome-gpt: Works with ChatGPT · chatgpt_system_prompt: Works with ChatGPT

Choose awesome-gpt if…

  • Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs..
  • Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view.
  • Tags unique to awesome-gpt: chatgpt, llm, openai.
  • Also covers LLM Frameworks.
  • Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.

When NOT to use awesome-gpt

  • Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider.
  • Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.

Choose chatgpt_system_prompt if…

  • Tags unique to chatgpt_system_prompt: prompt-engineering.
  • When working with GPT models, you seek direct examples and guidance related to secure prompt design
  • More GitHub stars (11k vs 1.0k) - visibility, not fit.

When NOT to use chatgpt_system_prompt

  • For developing or troubleshooting other types of AI models not based on GPT architecture which might have different requirements for system prompts
  • In scenarios where the focus is on learning generic machine learning principles rather than specific to GPT's prompt engineering considerations and limitations

Explore

Sources

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

GitHub stars on cards: awesome-gpt 1.0k · chatgpt_system_prompt 11k (synced Aug 6, 2026).

Common questions

What is the difference between awesome-gpt and chatgpt_system_prompt?
awesome-gpt: Curated list of GPT and related resources. chatgpt_system_prompt: A collection of GPT system prompts and knowledge on prompt injection leaking. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-gpt over chatgpt_system_prompt?
Choose awesome-gpt over chatgpt_system_prompt when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, llm, openai; Also covers LLM Frameworks; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.
When should I choose chatgpt_system_prompt over awesome-gpt?
Choose chatgpt_system_prompt over awesome-gpt when Tags unique to chatgpt_system_prompt: prompt-engineering; When working with GPT models, you seek direct examples and guidance related to secure prompt design; More GitHub stars (11k vs 1.0k) - visibility, not fit.
When should I avoid awesome-gpt?
Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.
When should I avoid chatgpt_system_prompt?
For developing or troubleshooting other types of AI models not based on GPT architecture which might have different requirements for system prompts In scenarios where the focus is on learning generic machine learning principles rather than specific to GPT's prompt engineering considerations and limitations
Is awesome-gpt or chatgpt_system_prompt more popular on GitHub?
chatgpt_system_prompt has more GitHub stars (10,699 vs 1,043). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-gpt and chatgpt_system_prompt open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-gpt or chatgpt_system_prompt?
GraphCanon lists graph-backed alternatives at awesome-gpt alternatives and chatgpt_system_prompt alternatives (awesome-gpt markdown twin, chatgpt_system_prompt 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, awesome-gpt or chatgpt_system_prompt?
awesome-gpt: Dormant. chatgpt_system_prompt: 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 awesome-gpt and chatgpt_system_prompt?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-gpt trust report; chatgpt_system_prompt trust report.

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