--- title: "doit vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pydoit-doit-vs-sindresorhus-awesome" tools: ["pydoit-doit", "sindresorhus-awesome"] --- # doit vs awesome *GraphCanon updated Jul 15, 2026* ## Verdict Pick doit when license: doit is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, doit is MIT. [doit](http://pydoit.org) reports 2.1k GitHub stars, 192 forks, and 93 open issues, last pushed Feb 12, 2026. [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 [doit's repository](https://github.com/pydoit/doit) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [doit](/tools/pydoit-doit.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | CLI task management & automation tool | 😎 Awesome lists about all kinds of interesting topics | | Stars | 2,073 | 484,026 | | Forks | 192 | 35,799 | | Open issues | 93 | 92 | | Language | Python | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | Computer Vision, Data & Retrieval, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [doit](/tools/pydoit-doit.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 152d | 11d | | Open issues (now) | 93 | 92 | | Owner type | Organization | User | | Full report | [trust report](/tools/pydoit-doit/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose doit if… - License: doit is MIT, awesome is CC0-1.0. - Tags unique to doit: build-automation, build-system, build-tool, cli. - Also covers Computer Vision, Data & Retrieval. ### Choose awesome if… - License: awesome is CC0-1.0, doit is MIT. - Tags unique to awesome: awesome, awesome-list, lists, resources. - When you need well-organized access to diverse technical subjects from IoT to robotics ## When NOT to use doit - Last GitHub push was 153 days ago (slowing maintenance, Feb 12, 2026). Validate activity before betting a new project on doit. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use awesome - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## Common questions ### What is the difference between doit and awesome? doit: CLI task management & automation tool. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose doit over awesome? Choose doit over awesome when License: doit is MIT, awesome is CC0-1.0; Tags unique to doit: build-automation, build-system, build-tool, cli; Also covers Computer Vision, Data & Retrieval. ### When should I choose awesome over doit? Choose awesome over doit when License: awesome is CC0-1.0, doit is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I avoid doit? Last GitHub push was 153 days ago (slowing maintenance, Feb 12, 2026). Validate activity before betting a new project on doit. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid awesome? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### Is doit or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 2,073). Stars measure visibility, not whether either tool fits your constraints. ### Are doit and awesome open source? Yes - both are open-source projects on GitHub (doit: MIT, awesome: CC0-1.0). ### Where can I find alternatives to doit or awesome? GraphCanon lists graph-backed alternatives at [doit alternatives](/tools/pydoit-doit/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([doit markdown twin](/tools/pydoit-doit/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/pydoit-doit-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, doit or awesome? doit: 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 doit and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [doit trust report](/tools/pydoit-doit/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pydoit-doit`](/api/graphcanon/graph?tool=pydoit-doit) - 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/_