Comparison
flowgpt vs awesome
Verdict
Pick flowgpt when license: flowgpt is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, flowgpt is MIT.
Markdown twin · flowgpt alternatives · awesome alternatives
GraphCanon updated today
Trust & integrity
| Signal | flowgpt | awesome |
|---|---|---|
| Maintenance | Dormant (1009d 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) | 24 low (24 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- flowgpt
- Generate diagram with AI
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- flowgpt
- 304
- awesome
- 484k
Forks
- flowgpt
- 59
- awesome
- 36k
Open issues
- flowgpt
- 3
- awesome
- 92
Language
- flowgpt
- TypeScript
- awesome
- -
Adopt for
- flowgpt
- -
- awesome
- -
Persona
- flowgpt
- -
- awesome
- -
Runtime
- flowgpt
- -
- awesome
- -
License
- flowgpt
- MIT
- awesome
- CC0-1.0
Last pushed
- flowgpt
- Oct 6, 2023
- awesome
- Jun 30, 2026
Categories
- flowgpt
- LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- flowgpt
- Dormant (18%)
- awesome
- Active (82%)
Days since push
- flowgpt
- 1009d
- awesome
- 11d
Open issues (now)
- flowgpt
- 3
- awesome
- 92
Security scan
- flowgpt
- 24 low (24 low)
- awesome
- No lockfile
Full report
- flowgpt
- Trust report
- awesome
- Trust report
Choose flowgpt if…
- License: flowgpt is MIT, awesome is CC0-1.0.
- Tags unique to flowgpt: gpt-3, gpt-4, openai, flowchart.
- Leaner open-issue backlog (3).
When NOT to use flowgpt
- Last GitHub push was 1009 days ago (dormant maintenance, Oct 6, 2023). Validate activity before betting a new project on flowgpt.
- 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, flowgpt is MIT.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 304) - 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 (nilooy/flowgpt) · observed Jul 11, 2026
- GitHub forks (nilooy/flowgpt) · observed Jul 11, 2026
- Last push (nilooy/flowgpt) · observed Oct 6, 2023
- License file (MIT) · 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: flowgpt 304 · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between flowgpt and awesome?
- flowgpt: Generate diagram with AI. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose flowgpt over awesome?
- Choose flowgpt over awesome when License: flowgpt is MIT, awesome is CC0-1.0; Tags unique to flowgpt: gpt-3, gpt-4, openai, flowchart; Leaner open-issue backlog (3).
- When should I choose awesome over flowgpt?
- Choose awesome over flowgpt when License: awesome is CC0-1.0, flowgpt is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 304) - visibility, not fit.
- When should I avoid flowgpt?
- Last GitHub push was 1009 days ago (dormant maintenance, Oct 6, 2023). Validate activity before betting a new project on flowgpt. 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 flowgpt or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 304). Stars measure visibility, not whether either tool fits your constraints.
- Are flowgpt and awesome open source?
- Yes - both are open-source projects on GitHub (flowgpt: MIT, awesome: CC0-1.0).
- Where can I find alternatives to flowgpt or awesome?
- GraphCanon lists graph-backed alternatives at flowgpt alternatives and awesome alternatives (flowgpt 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, flowgpt or awesome?
- flowgpt: Dormant. 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 flowgpt and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: flowgpt trust report; awesome trust report.