Comparison
coca vs awesome
Verdict
Pick coca if coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions; pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.
Markdown twin · coca alternatives · awesome alternatives
GraphCanon updated Sep 4, 2026
22views this month
Trust & integrity
| Signal | coca | awesome |
|---|---|---|
| Maintenance | Slowing (217d since push) As of Aug 12, 2026 · github_public_v1 | Very active (2d since push) As of Sep 4, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 12, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 4, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | No lockfile (source not queried) As of Sep 6, 2026 · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Published findings As of Aug 16, 2026 · openssf-scorecard@v1 |
Tagline
- coca
- Toolbox for legacy system refactoring and analysis
- awesome
- 😎 Awesome lists about all kinds of interesting topics
Stars
- coca
- 990
- awesome
- 503k
Forks
- coca
- 118
- awesome
- 37k
Open issues
- coca
- 0
- awesome
- 106
Language
- coca
- Go
- awesome
- -
Adopt for
- coca
- Coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions.
- awesome
- A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.
Persona
- coca
- -
- awesome
- -
Runtime
- coca
- -
- awesome
- -
License
- coca
- The Mozilla Public License version 2.0 applies to Coca, which offers a balance between open source freedom and ensuring contributions back to the community.
- awesome
- CC0-1.0
Last pushed
- coca
- Jan 6, 2026
- awesome
- Sep 2, 2026
Categories
- coca
- Developer Tools
- awesome
- Developer Tools
Trust and health
Maintenance
- coca
- Slowing (36%)
- awesome
- Very active (96%)
Days since push
- coca
- 217d
- awesome
- 2d
Open issues (now)
- coca
- 0
- awesome
- 106
Stars delta
- coca
- Unknown
- awesome
- +11k (30d)
Open issues delta
- coca
- Unknown
- awesome
- +6 (30d)
deps.dev advisories
- coca
- Not queried
- awesome
- No lockfile (source not queried)
OpenSSF Scorecard
- coca
- Not queried
- awesome
- Published findings
Full report
- coca
- Trust report
- awesome
- Trust report
Choose coca if…
- License: coca is MPL-2.0, awesome is CC0-1.0.
- Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed..
- Tags unique to coca: ai, architecture, automation, git.
- Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions
When NOT to use coca
- Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind
- Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems
Choose awesome if…
- License: awesome is CC0-1.0, coca is MPL-2.0.
- Tags unique to awesome: awesome, awesome-list, lists, resources.
- When you need well-organized access to diverse technical subjects from IoT to robotics
When NOT to use awesome
- If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources
- In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (phodal/coca) · observed Aug 12, 2026
- GitHub forks (phodal/coca) · observed Aug 12, 2026
- Last push (phodal/coca) · observed Jan 6, 2026
- License file (MPL-2.0) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (sindresorhus/awesome) · observed Sep 4, 2026
- GitHub forks (sindresorhus/awesome) · observed Sep 4, 2026
- Last push (sindresorhus/awesome) · observed Sep 2, 2026
- License file (CC0-1.0) · observed Sep 4, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: coca 990 · awesome 503k (synced Aug 12, 2026).
Common questions
- What is the difference between coca and awesome?
- coca: Toolbox for legacy system refactoring and analysis. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories.
- When should I choose coca over awesome?
- Choose coca over awesome when License: coca is MPL-2.0, awesome is CC0-1.0; Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed.; Tags unique to coca: ai, architecture, automation, git; Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions.
- When should I choose awesome over coca?
- Choose awesome over coca when License: awesome is CC0-1.0, coca is MPL-2.0; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics.
- When should I avoid coca?
- Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems
- When should I avoid awesome?
- If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
- Is coca or awesome more popular on GitHub?
- awesome has more GitHub stars (502,873 vs 990). Stars measure visibility, not whether either tool fits your constraints.
- Are coca and awesome open source?
- Yes - both are open-source projects on GitHub (coca: MPL-2.0, awesome: CC0-1.0).
- Where can I find alternatives to coca or awesome?
- GraphCanon lists graph-backed alternatives at coca alternatives and awesome alternatives (coca 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, coca or awesome?
- coca: Slowing. awesome: Very 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 coca and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: coca trust report; awesome trust report.