--- title: "alfred-workflow vs awesome-copilot" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deanishe-alfred-workflow-vs-github-awesome-copilot" tools: ["deanishe-alfred-workflow", "github-awesome-copilot"] --- # alfred-workflow vs awesome-copilot *GraphCanon updated Jul 15, 2026* ## Verdict Pick alfred-workflow when license: alfred-workflow is Other, awesome-copilot is MIT; pick awesome-copilot when license: awesome-copilot is MIT, alfred-workflow is Other. [alfred-workflow](https://www.deanishe.net/alfred-workflow/) reports 3.0k GitHub stars, 236 forks, and 21 open issues, last pushed Jan 10, 2023. [awesome-copilot](https://awesome-copilot.github.com/) has 36k stars, 4.5k forks, and 34 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [alfred-workflow's repository](https://github.com/deanishe/alfred-workflow) and [awesome-copilot's repository](https://github.com/github/awesome-copilot). | | [alfred-workflow](/tools/deanishe-alfred-workflow.md) | [awesome-copilot](/tools/github-awesome-copilot.md) | | --- | --- | --- | | Tagline | Full-featured library for writing Alfred 3 & 4 workflows | Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. | | Stars | 2,972 | 36,439 | | Forks | 236 | 4,544 | | Open issues | 21 | 34 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [alfred-workflow](/tools/deanishe-alfred-workflow.md) | [awesome-copilot](/tools/github-awesome-copilot.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1281d | 0d | | Open issues (now) | 21 | 34 | | Owner type | User | Organization | | Full report | [trust report](/tools/deanishe-alfred-workflow/trust.md) | [trust report](/tools/github-awesome-copilot/trust.md) | ## Choose when ### Choose alfred-workflow if… - License: alfred-workflow is Other, awesome-copilot is MIT. - Tags unique to alfred-workflow: alfred, alfred-3, alfred-workflow, alfred3. - Leaner open-issue backlog (21). ### Choose awesome-copilot if… - License: awesome-copilot is MIT, alfred-workflow is Other. - Tags unique to awesome-copilot: agent-skills, agents, ai, awesome. - Also covers AI Agents. ## When NOT to use alfred-workflow - Last GitHub push was 1282 days ago (dormant maintenance, Jan 10, 2023). Validate activity before betting a new project on alfred-workflow. - 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-copilot - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - 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 alfred-workflow and awesome-copilot? alfred-workflow: Full-featured library for writing Alfred 3 & 4 workflows. awesome-copilot: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.. See the comparison table for live GitHub stats and shared categories. ### When should I choose alfred-workflow over awesome-copilot? Choose alfred-workflow over awesome-copilot when License: alfred-workflow is Other, awesome-copilot is MIT; Tags unique to alfred-workflow: alfred, alfred-3, alfred-workflow, alfred3; Leaner open-issue backlog (21). ### When should I choose awesome-copilot over alfred-workflow? Choose awesome-copilot over alfred-workflow when License: awesome-copilot is MIT, alfred-workflow is Other; Tags unique to awesome-copilot: agent-skills, agents, ai, awesome; Also covers AI Agents. ### When should I avoid alfred-workflow? Last GitHub push was 1282 days ago (dormant maintenance, Jan 10, 2023). Validate activity before betting a new project on alfred-workflow. 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-copilot? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is alfred-workflow or awesome-copilot more popular on GitHub? awesome-copilot has more GitHub stars (36,439 vs 2,972). Stars measure visibility, not whether either tool fits your constraints. ### Are alfred-workflow and awesome-copilot open source? Yes - both are open-source projects on GitHub (alfred-workflow: Other, awesome-copilot: MIT). ### Where can I find alternatives to alfred-workflow or awesome-copilot? GraphCanon lists graph-backed alternatives at [alfred-workflow alternatives](/tools/deanishe-alfred-workflow/alternatives) and [awesome-copilot alternatives](/tools/github-awesome-copilot/alternatives) ([alfred-workflow markdown twin](/tools/deanishe-alfred-workflow/alternatives.md), [awesome-copilot markdown twin](/tools/github-awesome-copilot/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/deanishe-alfred-workflow-vs-github-awesome-copilot.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, alfred-workflow or awesome-copilot? alfred-workflow: Dormant. awesome-copilot: Very 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 alfred-workflow and awesome-copilot? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [alfred-workflow trust report](/tools/deanishe-alfred-workflow/trust); [awesome-copilot trust report](/tools/github-awesome-copilot/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deanishe-alfred-workflow`](/api/graphcanon/graph?tool=deanishe-alfred-workflow) - 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/_