Comparison
SuperPrompt vs awesome
Verdict
Pick SuperPrompt when tags unique to SuperPrompt: ai, ml, prompt-engineering, prompts; pick awesome when tags unique to awesome: awesome-list, resources.
Markdown twin · SuperPrompt alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | SuperPrompt | awesome |
|---|---|---|
| Maintenance | Steady (75d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal 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
- SuperPrompt
- SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- SuperPrompt
- 6.4k
- awesome
- 484k
Forks
- SuperPrompt
- 574
- awesome
- 36k
Open issues
- SuperPrompt
- 12
- awesome
- 92
Language
- SuperPrompt
- -
- awesome
- -
Adopt for
- SuperPrompt
- -
- awesome
- -
Persona
- SuperPrompt
- -
- awesome
- -
Runtime
- SuperPrompt
- -
- awesome
- -
License
- SuperPrompt
- -
- awesome
- CC0-1.0
Last pushed
- SuperPrompt
- Apr 26, 2026
- awesome
- Jun 30, 2026
Categories
- SuperPrompt
- AI Agents, LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- SuperPrompt
- Steady (60%)
- awesome
- Active (82%)
Days since push
- SuperPrompt
- 75d
- awesome
- 11d
Open issues (now)
- SuperPrompt
- 12
- awesome
- 92
Full report
- SuperPrompt
- Trust report
- awesome
- Trust report
Choose SuperPrompt if…
- Tags unique to SuperPrompt: ai, ml, prompt-engineering, prompts.
- Also covers AI Agents.
- Leaner open-issue backlog (12).
When NOT to use SuperPrompt
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NeoVertex1/SuperPrompt) · observed Jul 11, 2026
- GitHub forks (NeoVertex1/SuperPrompt) · observed Jul 11, 2026
- Last push (NeoVertex1/SuperPrompt) · observed Apr 26, 2026
- License file (unknown) · 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: SuperPrompt 6.4k · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between SuperPrompt and awesome?
- SuperPrompt: SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose SuperPrompt over awesome?
- Choose SuperPrompt over awesome when Tags unique to SuperPrompt: ai, ml, prompt-engineering, prompts; Also covers AI Agents; Leaner open-issue backlog (12).
- When should I choose awesome over SuperPrompt?
- Choose awesome over SuperPrompt when Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 6.4k) - visibility, not fit.
- When should I avoid SuperPrompt?
- 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 SuperPrompt or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 6,419). Stars measure visibility, not whether either tool fits your constraints.
- Are SuperPrompt and awesome open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to SuperPrompt or awesome?
- GraphCanon lists graph-backed alternatives at SuperPrompt alternatives and awesome alternatives (SuperPrompt 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, SuperPrompt or awesome?
- SuperPrompt: 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 SuperPrompt and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SuperPrompt trust report; awesome trust report.