--- title: "AutoPrompt vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/eladlev-autoprompt-vs-sindresorhus-awesome" tools: ["eladlev-autoprompt", "sindresorhus-awesome"] --- # AutoPrompt vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick AutoPrompt when license: AutoPrompt is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, AutoPrompt is Apache-2.0. [AutoPrompt](https://github.com/Eladlev/AutoPrompt) reports 3.0k GitHub stars, 263 forks, and 23 open issues, last pushed Dec 2, 2025. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [AutoPrompt's repository](https://github.com/Eladlev/AutoPrompt) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [AutoPrompt](/tools/eladlev-autoprompt.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | A framework for prompt tuning using Intent-based Prompt Calibration | 😎 Curated list of awesome topics including hardware resources | | Stars | 2,988 | 484,026 | | Forks | 263 | 35,799 | | Open issues | 23 | 92 | | Language | Python | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | CC0-1.0 | | Categories | LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoPrompt](/tools/eladlev-autoprompt.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 220d | 11d | | Open issues (now) | 23 | 92 | | Full report | [trust report](/tools/eladlev-autoprompt/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose AutoPrompt if… - License: AutoPrompt is Apache-2.0, awesome is CC0-1.0. - Tags unique to AutoPrompt: synthetic-dataset-generation, python, prompt-tuning, prompt-engineering. - Leaner open-issue backlog (23). ### Choose awesome if… - License: awesome is CC0-1.0, AutoPrompt is Apache-2.0. - Tags unique to awesome: resources, awesome-list. - More GitHub stars (484k vs 3.0k) - visibility, not fit. ## When NOT to use AutoPrompt - Last GitHub push was 221 days ago (slowing maintenance, Dec 2, 2025). Validate activity before betting a new project on AutoPrompt. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use awesome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between AutoPrompt and awesome? AutoPrompt: A framework for prompt tuning using Intent-based Prompt Calibration. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose AutoPrompt over awesome? Choose AutoPrompt over awesome when License: AutoPrompt is Apache-2.0, awesome is CC0-1.0; Tags unique to AutoPrompt: synthetic-dataset-generation, python, prompt-tuning, prompt-engineering; Leaner open-issue backlog (23). ### When should I choose awesome over AutoPrompt? Choose awesome over AutoPrompt when License: awesome is CC0-1.0, AutoPrompt is Apache-2.0; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 3.0k) - visibility, not fit. ### When should I avoid AutoPrompt? Last GitHub push was 221 days ago (slowing maintenance, Dec 2, 2025). Validate activity before betting a new project on AutoPrompt. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid awesome? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is AutoPrompt or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 2,988). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoPrompt and awesome open source? Yes - both are open-source projects on GitHub (AutoPrompt: Apache-2.0, awesome: CC0-1.0). ### Where can I find alternatives to AutoPrompt or awesome? GraphCanon lists graph-backed alternatives at [AutoPrompt alternatives](/tools/eladlev-autoprompt/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([AutoPrompt markdown twin](/tools/eladlev-autoprompt/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/eladlev-autoprompt-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AutoPrompt or awesome? AutoPrompt: Slowing. awesome: 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 AutoPrompt and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AutoPrompt trust report](/tools/eladlev-autoprompt/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=eladlev-autoprompt`](/api/graphcanon/graph?tool=eladlev-autoprompt) - 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/_