Comparison
promptsource vs awesome-gpt3
Verdict
Pick promptsource if promptSource aids in creating, sharing, and using natural language prompts for large language models; pick awesome-gpt3 if awesome-gpt3 is a curated collection of demonstrations and articles illustrating the capabilities of GPT-3 in various domains such as app design, data analysis, programming, and text generation.
Markdown twin · promptsource alternatives · awesome-gpt3 alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | promptsource | awesome-gpt3 |
|---|---|---|
| Maintenance | Dormant (1027d since push) As of 5d · github_public_v1 | Archived (1075d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Personal account As of 2w · 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-gpt3
- A collection of demos and articles about the OpenAI GPT-3 API
Stars
- promptsource
- 3.0k
- awesome-gpt3
- 4.5k
Forks
- promptsource
- 375
- awesome-gpt3
- 345
Open issues
- promptsource
- 43
- awesome-gpt3
- 26
Language
- promptsource
- Python
- awesome-gpt3
- -
Adopt for
- promptsource
- PromptSource aids in creating, sharing, and using natural language prompts for large language models.
- awesome-gpt3
- awesome-gpt3 is a curated collection of demonstrations and articles illustrating the capabilities of GPT-3 in various domains such as app design, data analysis, programming, and text generation.
Persona
- promptsource
- -
- awesome-gpt3
- -
Runtime
- promptsource
- -
- awesome-gpt3
- -
License
- promptsource
- Apache-2.0
- awesome-gpt3
- License information not specified, therefore usage rights are uncertain.
Last pushed
- promptsource
- Oct 23, 2023
- awesome-gpt3
- Aug 27, 2023
Categories
- promptsource
- Developer Tools, Model Training
- awesome-gpt3
- Model Training
Trust and health
Maintenance
- promptsource
- Dormant (18%)
- awesome-gpt3
- Archived (8%)
Days since push
- promptsource
- 1027d
- awesome-gpt3
- 1075d
Archived on GitHub
- promptsource
- No
- awesome-gpt3
- Yes
Open issues (now)
- promptsource
- 43
- awesome-gpt3
- 26
Stars delta
- promptsource
- +2 (30d)
- awesome-gpt3
- Unknown
Open issues delta
- promptsource
- -1 (30d)
- awesome-gpt3
- Unknown
Owner type
- promptsource
- Organization
- awesome-gpt3
- User
Full report
- promptsource
- Trust report
- awesome-gpt3
- Trust report
Shared compatibility
- Python · promptsource: Python runtime · awesome-gpt3: Python runtime
Choose promptsource if…
- Tags unique to promptsource: few-shot, fine-tuning, language-models, machine-learning.
- Also covers Developer Tools.
- 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-gpt3 if…
- Requirements: - No specific technical requirements stated except for engaging with GPT-3 through its API..
- Tags unique to awesome-gpt3: ai demos, gpt-3 applications.
- - When you are looking for specific examples of how to leverage GPT-3's powerful API across different applications ranging from code generation to creative writing.
When NOT to use awesome-gpt3
- - When seeking a direct development tool to integrate GPT-3 into your projects without further curation and customization. 'awesome-gpt3' is an example showcase rather than an SDK.
- - If you require specific implementations for certain tasks like SEO optimization or language-specific translation beyond the provided samples, as it mainly contains links to tweets and external sites
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 (elyase/awesome-gpt3) · observed Aug 6, 2026
- GitHub forks (elyase/awesome-gpt3) · observed Aug 6, 2026
- Last push (elyase/awesome-gpt3) · observed Aug 27, 2023
- 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-gpt3 4.5k (synced Aug 15, 2026).
Common questions
- What is the difference between promptsource and awesome-gpt3?
- promptsource: Toolkit for creating, sharing and using natural language prompts. awesome-gpt3: A collection of demos and articles about the OpenAI GPT-3 API. See the comparison table for live GitHub stats and shared categories.
- When should I choose promptsource over awesome-gpt3?
- Choose promptsource over awesome-gpt3 when Tags unique to promptsource: few-shot, fine-tuning, language-models, machine-learning; Also covers Developer Tools; 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-gpt3 over promptsource?
- Choose awesome-gpt3 over promptsource when Requirements: - No specific technical requirements stated except for engaging with GPT-3 through its API.; Tags unique to awesome-gpt3: ai demos, gpt-3 applications; - When you are looking for specific examples of how to leverage GPT-3's powerful API across different applications ranging from code generation to creative writing.
- 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-gpt3?
- - When seeking a direct development tool to integrate GPT-3 into your projects without further curation and customization. 'awesome-gpt3' is an example showcase rather than an SDK. - If you require specific implementations for certain tasks like SEO optimization or language-specific translation beyond the provided samples, as it mainly contains links to tweets and external sites
- Is promptsource or awesome-gpt3 more popular on GitHub?
- awesome-gpt3 has more GitHub stars (4,520 vs 3,029). Stars measure visibility, not whether either tool fits your constraints.
- Are promptsource and awesome-gpt3 open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to promptsource or awesome-gpt3?
- GraphCanon lists graph-backed alternatives at promptsource alternatives and awesome-gpt3 alternatives (promptsource markdown twin, awesome-gpt3 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-gpt3?
- promptsource: Dormant. awesome-gpt3: Archived. 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-gpt3?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: promptsource trust report; awesome-gpt3 trust report.