Comparison
marvin vs awesome
Verdict
Pick marvin when license: marvin is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, marvin is Apache-2.0.
Markdown twin · marvin alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | marvin | awesome |
|---|---|---|
| Maintenance | Steady (59d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- marvin
- an ambient intelligence library
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- marvin
- 6.2k
- awesome
- 484k
Forks
- marvin
- 404
- awesome
- 36k
Open issues
- marvin
- 104
- awesome
- 92
Language
- marvin
- Python
- awesome
- -
Adopt for
- marvin
- -
- awesome
- -
Persona
- marvin
- -
- awesome
- -
Runtime
- marvin
- -
- awesome
- -
License
- marvin
- Apache-2.0
- awesome
- CC0-1.0
Last pushed
- marvin
- May 12, 2026
- awesome
- Jun 30, 2026
Categories
- marvin
- AI Agents, LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- marvin
- Steady (60%)
- awesome
- Active (82%)
Days since push
- marvin
- 59d
- awesome
- 11d
Open issues (now)
- marvin
- 104
- awesome
- 92
Owner type
- marvin
- Organization
- awesome
- User
Full report
- marvin
- Trust report
- awesome
- Trust report
Choose marvin if…
- License: marvin is Apache-2.0, awesome is CC0-1.0.
- Tags unique to marvin: nli, agents, llm, ai.
- Also covers AI Agents.
When NOT to use marvin
- 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.
Choose awesome if…
- License: awesome is CC0-1.0, marvin is Apache-2.0.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 6.2k) - visibility, not fit.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (PrefectHQ/marvin) · observed Jul 11, 2026
- GitHub forks (PrefectHQ/marvin) · observed Jul 11, 2026
- Last push (PrefectHQ/marvin) · observed May 12, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: marvin 6.2k · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between marvin and awesome?
- marvin: an ambient intelligence library. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose marvin over awesome?
- Choose marvin over awesome when License: marvin is Apache-2.0, awesome is CC0-1.0; Tags unique to marvin: nli, agents, llm, ai; Also covers AI Agents.
- When should I choose awesome over marvin?
- Choose awesome over marvin when License: awesome is CC0-1.0, marvin is Apache-2.0; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 6.2k) - visibility, not fit.
- When should I avoid marvin?
- 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.
- 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 marvin or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 6,179). Stars measure visibility, not whether either tool fits your constraints.
- Are marvin and awesome open source?
- Yes - both are open-source projects on GitHub (marvin: Apache-2.0, awesome: CC0-1.0).
- Where can I find alternatives to marvin or awesome?
- GraphCanon lists graph-backed alternatives at marvin alternatives and awesome alternatives (marvin markdown twin, awesome 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, marvin or awesome?
- marvin: Steady. 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 marvin and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: marvin trust report; awesome trust report.