Comparison
alfred-workflow vs ai-engineering-hub
Verdict
Pick alfred-workflow when alfred-workflow is primarily Python; ai-engineering-hub is Jupyter Notebook; pick ai-engineering-hub when ai-engineering-hub is primarily Jupyter Notebook; alfred-workflow is Python.
Markdown twin · alfred-workflow alternatives · ai-engineering-hub alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | alfred-workflow | ai-engineering-hub |
|---|---|---|
| Maintenance | Dormant (1281d since push) As of today · github_public_v1 | Steady (32d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- alfred-workflow
- Full-featured library for writing Alfred 3 & 4 workflows
- ai-engineering-hub
- Tutorials on LLMs, RAGs, and real-world AI agent applications
Stars
- alfred-workflow
- 3.0k
- ai-engineering-hub
- 36k
Forks
- alfred-workflow
- 236
- ai-engineering-hub
- 6.0k
Open issues
- alfred-workflow
- 21
- ai-engineering-hub
- 119
Language
- alfred-workflow
- Python
- ai-engineering-hub
- Jupyter Notebook
Adopt for
- alfred-workflow
- -
- ai-engineering-hub
- A collection of in-depth tutorials aiming to cover a wide range from beginner to advanced concepts in AI, including large language models (LLMs), Retrieval-Augmented Generation (RAG) systems and practical applications of
Persona
- alfred-workflow
- -
- ai-engineering-hub
- -
Runtime
- alfred-workflow
- -
- ai-engineering-hub
- -
License
- alfred-workflow
- Other
- ai-engineering-hub
- MIT License
Last pushed
- alfred-workflow
- Jan 10, 2023
- ai-engineering-hub
- Jun 8, 2026
Categories
- alfred-workflow
- LLM Frameworks
- ai-engineering-hub
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- alfred-workflow
- Dormant (18%)
- ai-engineering-hub
- Steady (60%)
Days since push
- alfred-workflow
- 1281d
- ai-engineering-hub
- 32d
Open issues (now)
- alfred-workflow
- 21
- ai-engineering-hub
- 119
Full report
- alfred-workflow
- Trust report
- ai-engineering-hub
- Trust report
Choose alfred-workflow if…
- alfred-workflow is primarily Python; ai-engineering-hub is Jupyter Notebook.
- License: alfred-workflow is Other, ai-engineering-hub is MIT.
- Tags unique to alfred-workflow: alfred, alfred-3, alfred-workflow, alfred3.
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.
Choose ai-engineering-hub if…
- ai-engineering-hub is primarily Jupyter Notebook; alfred-workflow is Python.
- License: ai-engineering-hub is MIT, alfred-workflow is Other.
- Requirements: The tutorials and projects use Jupyter Notebooks which require Python and a compatible local environment or cloud-based Jupyter services..
- Tags unique to ai-engineering-hub: agents, ai, llms, machine-learning.
- Also covers AI Agents.
- When you are looking for comprehensive learning paths ranging from complete beginners to advanced experts.
When NOT to use ai-engineering-hub
- If your team already has significant proficiency in AI engineering and advanced LLM frameworks, as the content starts from zero knowledge up.
- When you specifically need industry-standard proprietary tools or heavily specialized niche applications that go beyond foundational learning covered by this hub.
- In scenarios where immediate advanced project results are required; ai-engineering-hub focuses on education through step-by-step tutorials rather than providing ready-made solutions with minimal setup
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deanishe/alfred-workflow) · observed Jul 15, 2026
- GitHub forks (deanishe/alfred-workflow) · observed Jul 15, 2026
- Last push (deanishe/alfred-workflow) · observed Jan 10, 2023
- License file (Other) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (patchy631/ai-engineering-hub) · observed Jul 11, 2026
- GitHub forks (patchy631/ai-engineering-hub) · observed Jul 11, 2026
- Last push (patchy631/ai-engineering-hub) · observed Jun 8, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: alfred-workflow 3.0k · ai-engineering-hub 36k (synced Jul 15, 2026).
Common questions
- What is the difference between alfred-workflow and ai-engineering-hub?
- alfred-workflow: Full-featured library for writing Alfred 3 & 4 workflows. ai-engineering-hub: Tutorials on LLMs, RAGs, and real-world AI agent applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose alfred-workflow over ai-engineering-hub?
- Choose alfred-workflow over ai-engineering-hub when alfred-workflow is primarily Python; ai-engineering-hub is Jupyter Notebook; License: alfred-workflow is Other, ai-engineering-hub is MIT; Tags unique to alfred-workflow: alfred, alfred-3, alfred-workflow, alfred3.
- When should I choose ai-engineering-hub over alfred-workflow?
- Choose ai-engineering-hub over alfred-workflow when ai-engineering-hub is primarily Jupyter Notebook; alfred-workflow is Python; License: ai-engineering-hub is MIT, alfred-workflow is Other; Requirements: The tutorials and projects use Jupyter Notebooks which require Python and a compatible local environment or cloud-based Jupyter services.; Tags unique to ai-engineering-hub: agents, ai, llms, machine-learning; Also covers AI Agents; When you are looking for comprehensive learning paths ranging from complete beginners to advanced experts.
- 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 ai-engineering-hub?
- If your team already has significant proficiency in AI engineering and advanced LLM frameworks, as the content starts from zero knowledge up. When you specifically need industry-standard proprietary tools or heavily specialized niche applications that go beyond foundational learning covered by this hub. In scenarios where immediate advanced project results are required; ai-engineering-hub focuses on education through step-by-step tutorials rather than providing ready-made solutions with minimal setup
- Is alfred-workflow or ai-engineering-hub more popular on GitHub?
- ai-engineering-hub has more GitHub stars (36,439 vs 2,972). Stars measure visibility, not whether either tool fits your constraints.
- Are alfred-workflow and ai-engineering-hub open source?
- Yes - both are open-source projects on GitHub (alfred-workflow: Other, ai-engineering-hub: MIT).
- Where can I find alternatives to alfred-workflow or ai-engineering-hub?
- GraphCanon lists graph-backed alternatives at alfred-workflow alternatives and ai-engineering-hub alternatives (alfred-workflow markdown twin, ai-engineering-hub markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, alfred-workflow or ai-engineering-hub?
- alfred-workflow: Dormant. ai-engineering-hub: Steady. 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 ai-engineering-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: alfred-workflow trust report; ai-engineering-hub trust report.