Comparison
promptsource vs awesome-gpt
Verdict
Pick promptsource if promptSource aids in creating, sharing, and using natural language prompts for large language models; 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.
Markdown twin · promptsource alternatives · awesome-gpt alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | promptsource | awesome-gpt |
|---|---|---|
| Maintenance | Dormant (1027d since push) As of 4d · github_public_v1 | Dormant (799d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of 1w · 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
- promptsource
- Toolkit for creating, sharing and using natural language prompts
- awesome-gpt
- Curated list of GPT and related resources
Stars
- promptsource
- 3.0k
- awesome-gpt
- 1.0k
Forks
- promptsource
- 375
- awesome-gpt
- 75
Open issues
- promptsource
- 43
- awesome-gpt
- 27
Language
- promptsource
- Python
- awesome-gpt
- -
Adopt for
- promptsource
- PromptSource aids in creating, sharing, and using natural language prompts for large language models.
- 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.
Persona
- promptsource
- -
- awesome-gpt
- -
Runtime
- promptsource
- -
- awesome-gpt
- -
License
- promptsource
- Apache-2.0
- awesome-gpt
- -
Last pushed
- promptsource
- Oct 23, 2023
- awesome-gpt
- May 29, 2024
Categories
- promptsource
- Developer Tools, Model Training
- awesome-gpt
- Developer Tools, LLM Frameworks
Trust and health
Days since push
- promptsource
- 1027d
- awesome-gpt
- 799d
Open issues (now)
- promptsource
- 43
- awesome-gpt
- 27
Stars delta
- promptsource
- +2 (30d)
- awesome-gpt
- Unknown
Open issues delta
- promptsource
- -1 (30d)
- awesome-gpt
- Unknown
Owner type
- promptsource
- Organization
- awesome-gpt
- User
Full report
- promptsource
- Trust report
- awesome-gpt
- Trust report
Choose promptsource if…
- Tags unique to promptsource: few-shot, fine-tuning, language-models, machine-learning.
- Also covers Model Training.
- When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja.
When NOT to use promptsource
- Avoid if you require complex prompt customization beyond what simple templating can offer, as PromptSource is not designed for intricate configurations.
- Not suitable for users focused on real-time interaction with prompts, since it lacks dynamic features for immediate adjustments.
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, gpt, 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigscience-workshop/promptsource) · observed Aug 15, 2026
- GitHub forks (bigscience-workshop/promptsource) · observed Aug 15, 2026
- Last push (bigscience-workshop/promptsource) · observed Oct 23, 2023
- License file (Apache-2.0) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (formulahendry/awesome-gpt) · observed Aug 6, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Aug 6, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: promptsource 3.0k · awesome-gpt 1.0k (synced Aug 15, 2026).
Common questions
- What is the difference between promptsource and awesome-gpt?
- promptsource: Toolkit for creating, sharing and using natural language prompts. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose promptsource over awesome-gpt?
- Choose promptsource over awesome-gpt when Tags unique to promptsource: few-shot, fine-tuning, language-models, machine-learning; Also covers Model Training; When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja.
- When should I choose awesome-gpt over promptsource?
- Choose awesome-gpt over promptsource 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, gpt, 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 avoid promptsource?
- Avoid if you require complex prompt customization beyond what simple templating can offer, as PromptSource is not designed for intricate configurations. Not suitable for users focused on real-time interaction with prompts, since it lacks dynamic features for immediate adjustments.
- 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.
- Is promptsource or awesome-gpt more popular on GitHub?
- promptsource has more GitHub stars (3,029 vs 1,043). Stars measure visibility, not whether either tool fits your constraints.
- Are promptsource and awesome-gpt open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to promptsource or awesome-gpt?
- GraphCanon lists graph-backed alternatives at promptsource alternatives and awesome-gpt alternatives (promptsource markdown twin, awesome-gpt 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, promptsource or awesome-gpt?
- promptsource: Dormant. awesome-gpt: 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 promptsource and awesome-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: promptsource trust report; awesome-gpt trust report.