--- title: "promptsource vs awesome-gpt3" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigscience-workshop-promptsource-vs-elyase-awesome-gpt3" tools: ["bigscience-workshop-promptsource", "elyase-awesome-gpt3"] --- # promptsource vs awesome-gpt3 *GraphCanon updated Aug 15, 2026* ## 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. [promptsource](https://github.com/bigscience-workshop/promptsource) reports 3.0k GitHub stars, 375 forks, and 43 open issues, last pushed Oct 23, 2023. [awesome-gpt3](https://github.com/elyase/awesome-gpt3) has 4.5k stars, 345 forks, and 26 open issues, last pushed Aug 27, 2023. Figures are from public GitHub metadata via [promptsource's repository](https://github.com/bigscience-workshop/promptsource) and [awesome-gpt3's repository](https://github.com/elyase/awesome-gpt3). | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [awesome-gpt3](/tools/elyase-awesome-gpt3.md) | | --- | --- | --- | | Tagline | Toolkit for creating, sharing and using natural language prompts | A collection of demos and articles about the OpenAI GPT-3 API | | Stars | 3,029 | 4,520 | | Forks | 375 | 345 | | Open issues | 43 | 26 | | Language | Python | - | | Adopt for | PromptSource aids in creating, sharing, and using natural language prompts for large language models. | 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | License information not specified, therefore usage rights are uncertain. | | Categories | Developer Tools, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [awesome-gpt3](/tools/elyase-awesome-gpt3.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 1027d | 1075d | | Archived on GitHub | No | Yes | | Open issues (now) | 43 | 26 | | Stars delta | +2 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/bigscience-workshop-promptsource/trust.md) | [trust report](/tools/elyase-awesome-gpt3/trust.md) | ## Shared compatibility - **Python**: [promptsource](/tools/bigscience-workshop-promptsource.md) - Python runtime; [awesome-gpt3](/tools/elyase-awesome-gpt3.md) - Python runtime ## Decision facts: promptsource - **Adopt for:** PromptSource aids in creating, sharing, and using natural language prompts for large language models. ## Decision facts: awesome-gpt3 - **Requirements:** - No specific technical requirements stated except for engaging with GPT-3 through its API. - **Adopt for:** 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. - **License detail:** License information not specified, therefore usage rights are uncertain. ## Choose when ### 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. ### 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 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 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 ## 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](/tools/bigscience-workshop-promptsource/alternatives) and [awesome-gpt3 alternatives](/tools/elyase-awesome-gpt3/alternatives) ([promptsource markdown twin](/tools/bigscience-workshop-promptsource/alternatives.md), [awesome-gpt3 markdown twin](/tools/elyase-awesome-gpt3/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/bigscience-workshop-promptsource-vs-elyase-awesome-gpt3.md) 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](/tools/bigscience-workshop-promptsource/trust); [awesome-gpt3 trust report](/tools/elyase-awesome-gpt3/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigscience-workshop-promptsource`](/api/graphcanon/graph?tool=bigscience-workshop-promptsource) - 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/_