--- title: "flowgpt vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nilooy-flowgpt-vs-sindresorhus-awesome" tools: ["nilooy-flowgpt", "sindresorhus-awesome"] --- # flowgpt vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick flowgpt when license: flowgpt is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, flowgpt is MIT. [flowgpt](https://github.com/nilooy/flowgpt) reports 304 GitHub stars, 59 forks, and 3 open issues, last pushed Oct 6, 2023. [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 [flowgpt's repository](https://github.com/nilooy/flowgpt) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [flowgpt](/tools/nilooy-flowgpt.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Generate diagram with AI | 😎 Curated list of awesome topics including hardware resources | | Stars | 304 | 484,026 | | Forks | 59 | 35,799 | | Open issues | 3 | 92 | | Language | TypeScript | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [flowgpt](/tools/nilooy-flowgpt.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1009d | 11d | | Open issues (now) | 3 | 92 | | Security scan | 24 low (24 low) | No lockfile | | Full report | [trust report](/tools/nilooy-flowgpt/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose flowgpt if… - License: flowgpt is MIT, awesome is CC0-1.0. - Tags unique to flowgpt: gpt-3, gpt-4, openai, flowchart. - Leaner open-issue backlog (3). ### Choose awesome if… - License: awesome is CC0-1.0, flowgpt is MIT. - Tags unique to awesome: resources, awesome-list. - More GitHub stars (484k vs 304) - visibility, not fit. ## When NOT to use flowgpt - Last GitHub push was 1009 days ago (dormant maintenance, Oct 6, 2023). Validate activity before betting a new project on flowgpt. - 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 flowgpt and awesome? flowgpt: Generate diagram with AI. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose flowgpt over awesome? Choose flowgpt over awesome when License: flowgpt is MIT, awesome is CC0-1.0; Tags unique to flowgpt: gpt-3, gpt-4, openai, flowchart; Leaner open-issue backlog (3). ### When should I choose awesome over flowgpt? Choose awesome over flowgpt when License: awesome is CC0-1.0, flowgpt is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 304) - visibility, not fit. ### When should I avoid flowgpt? Last GitHub push was 1009 days ago (dormant maintenance, Oct 6, 2023). Validate activity before betting a new project on flowgpt. 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 flowgpt or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 304). Stars measure visibility, not whether either tool fits your constraints. ### Are flowgpt and awesome open source? Yes - both are open-source projects on GitHub (flowgpt: MIT, awesome: CC0-1.0). ### Where can I find alternatives to flowgpt or awesome? GraphCanon lists graph-backed alternatives at [flowgpt alternatives](/tools/nilooy-flowgpt/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([flowgpt markdown twin](/tools/nilooy-flowgpt/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/nilooy-flowgpt-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, flowgpt or awesome? flowgpt: Dormant. 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 flowgpt and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [flowgpt trust report](/tools/nilooy-flowgpt/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nilooy-flowgpt`](/api/graphcanon/graph?tool=nilooy-flowgpt) - 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/_