Comparison
iFixAi vs awesome
Verdict
Pick iFixAi when license: iFixAi is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, iFixAi is Apache-2.0.
Markdown twin · iFixAi alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | iFixAi | awesome |
|---|---|---|
| Maintenance | Very active (3d 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
- iFixAi
- Catch your AI's mistakes and blind spots before your customers or regulators do. iFixAi runs 45 inspections, 32 graded core plus 13 extended for frontier risks like sabotage, sandbagging, and oversigh
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- iFixAi
- 1.3k
- awesome
- 484k
Forks
- iFixAi
- 170
- awesome
- 36k
Open issues
- iFixAi
- 0
- awesome
- 92
Language
- iFixAi
- Python
- awesome
- -
Adopt for
- iFixAi
- -
- awesome
- -
Persona
- iFixAi
- -
- awesome
- -
Runtime
- iFixAi
- -
- awesome
- -
License
- iFixAi
- Apache-2.0
- awesome
- CC0-1.0
Last pushed
- iFixAi
- Jul 8, 2026
- awesome
- Jun 30, 2026
Categories
- iFixAi
- AI Agents, Computer Vision, LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- iFixAi
- Very active (96%)
- awesome
- Active (82%)
Days since push
- iFixAi
- 3d
- awesome
- 11d
Open issues (now)
- iFixAi
- 0
- awesome
- 92
Owner type
- iFixAi
- Organization
- awesome
- User
Full report
- iFixAi
- Trust report
- awesome
- Trust report
Choose iFixAi if…
- License: iFixAi is Apache-2.0, awesome is CC0-1.0.
- Tags unique to iFixAi: agent-evaluation, ai, ai evaluation, ai-alignment.
- Also covers AI Agents, Computer Vision.
When NOT to use iFixAi
- 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, iFixAi is Apache-2.0.
- Tags unique to awesome: awesome-list, resources.
- More GitHub stars (484k vs 1.3k) - 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 (ifixai-ai/iFixAi) · observed Jul 11, 2026
- GitHub forks (ifixai-ai/iFixAi) · observed Jul 11, 2026
- Last push (ifixai-ai/iFixAi) · observed Jul 8, 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: iFixAi 1.3k · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between iFixAi and awesome?
- iFixAi: Catch your AI's mistakes and blind spots before your customers or regulators do. iFixAi runs 45 inspections, 32 graded core plus 13 extended for frontier risks like sabotage, sandbagging, and oversigh. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose iFixAi over awesome?
- Choose iFixAi over awesome when License: iFixAi is Apache-2.0, awesome is CC0-1.0; Tags unique to iFixAi: agent-evaluation, ai, ai evaluation, ai-alignment; Also covers AI Agents, Computer Vision.
- When should I choose awesome over iFixAi?
- Choose awesome over iFixAi when License: awesome is CC0-1.0, iFixAi is Apache-2.0; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 1.3k) - visibility, not fit.
- When should I avoid iFixAi?
- 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 iFixAi or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 1,342). Stars measure visibility, not whether either tool fits your constraints.
- Are iFixAi and awesome open source?
- Yes - both are open-source projects on GitHub (iFixAi: Apache-2.0, awesome: CC0-1.0).
- Where can I find alternatives to iFixAi or awesome?
- GraphCanon lists graph-backed alternatives at iFixAi alternatives and awesome alternatives (iFixAi 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, iFixAi or awesome?
- iFixAi: Very active. 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 iFixAi and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: iFixAi trust report; awesome trust report.