Comparison
TermGPT vs awesome
Verdict
Pick TermGPT when license: TermGPT is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, TermGPT is MIT.
Markdown twin · TermGPT alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | TermGPT | awesome |
|---|---|---|
| Maintenance | Dormant (1087d since push) As of 1d · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- TermGPT
- Giving LLMs like GPT-4 the ability to plan and execute terminal commands
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- TermGPT
- 412
- awesome
- 484k
Forks
- TermGPT
- 95
- awesome
- 36k
Open issues
- TermGPT
- 7
- awesome
- 92
Language
- TermGPT
- Jupyter Notebook
- awesome
- -
Adopt for
- TermGPT
- -
- awesome
- -
Persona
- TermGPT
- -
- awesome
- -
Runtime
- TermGPT
- -
- awesome
- -
License
- TermGPT
- MIT
- awesome
- CC0-1.0
Last pushed
- TermGPT
- Jul 20, 2023
- awesome
- Jun 30, 2026
Categories
- TermGPT
- LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- TermGPT
- Dormant (18%)
- awesome
- Active (82%)
Days since push
- TermGPT
- 1087d
- awesome
- 11d
Open issues (now)
- TermGPT
- 7
- awesome
- 92
Full report
- TermGPT
- Trust report
- awesome
- Trust report
Choose TermGPT if…
- License: TermGPT is MIT, awesome is CC0-1.0.
- Tags unique to TermGPT: jupyter notebook.
- Leaner open-issue backlog (7).
When NOT to use TermGPT
- Last GitHub push was 1088 days ago (dormant maintenance, Jul 20, 2023). Validate activity before betting a new project on TermGPT.
- 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, TermGPT is MIT.
- Tags unique to awesome: awesome-list, resources.
- More GitHub stars (484k vs 412) - 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 (Sentdex/TermGPT) · observed Jul 11, 2026
- GitHub forks (Sentdex/TermGPT) · observed Jul 11, 2026
- Last push (Sentdex/TermGPT) · observed Jul 20, 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: TermGPT 412 · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between TermGPT and awesome?
- TermGPT: Giving LLMs like GPT-4 the ability to plan and execute terminal commands. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose TermGPT over awesome?
- Choose TermGPT over awesome when License: TermGPT is MIT, awesome is CC0-1.0; Tags unique to TermGPT: jupyter notebook; Leaner open-issue backlog (7).
- When should I choose awesome over TermGPT?
- Choose awesome over TermGPT when License: awesome is CC0-1.0, TermGPT is MIT; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 412) - visibility, not fit.
- When should I avoid TermGPT?
- Last GitHub push was 1088 days ago (dormant maintenance, Jul 20, 2023). Validate activity before betting a new project on TermGPT. 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 TermGPT or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 412). Stars measure visibility, not whether either tool fits your constraints.
- Are TermGPT and awesome open source?
- Yes - both are open-source projects on GitHub (TermGPT: MIT, awesome: CC0-1.0).
- Where can I find alternatives to TermGPT or awesome?
- GraphCanon lists graph-backed alternatives at TermGPT alternatives and awesome alternatives (TermGPT 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, TermGPT or awesome?
- TermGPT: 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 TermGPT and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TermGPT trust report; awesome trust report.