Comparison
llm-code-interpreter vs agentic-awesome-skills
Verdict
Pick llm-code-interpreter if a TypeScript-based code interpreter for ChatGPT that enables extensive coding and terminal process execution with internet access; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Markdown twin · llm-code-interpreter alternatives · agentic-awesome-skills alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | llm-code-interpreter | agentic-awesome-skills |
|---|---|---|
| Maintenance | Archived (540d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 5d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- llm-code-interpreter
- Code interpreter for ChatGPT with extensive capabilities
- agentic-awesome-skills
- Library of agentic skills for various AI agents
Stars
- llm-code-interpreter
- 481
- agentic-awesome-skills
- 45k
Forks
- llm-code-interpreter
- 44
- agentic-awesome-skills
- 6.6k
Open issues
- llm-code-interpreter
- 6
- agentic-awesome-skills
- 12
Language
- llm-code-interpreter
- TypeScript
- agentic-awesome-skills
- Python
Adopt for
- llm-code-interpreter
- A TypeScript-based code interpreter for ChatGPT that enables extensive coding and terminal process execution with internet access.
- agentic-awesome-skills
- Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Persona
- llm-code-interpreter
- -
- agentic-awesome-skills
- -
Runtime
- llm-code-interpreter
- -
- agentic-awesome-skills
- -
License
- llm-code-interpreter
- MIT
- agentic-awesome-skills
- MIT
Last pushed
- llm-code-interpreter
- Feb 11, 2025
- agentic-awesome-skills
- Aug 19, 2026
Categories
- llm-code-interpreter
- Developer Tools, LLM Frameworks
- agentic-awesome-skills
- AI Agents, Developer Tools
Trust and health
Maintenance
- llm-code-interpreter
- Archived (8%)
- agentic-awesome-skills
- Very active (96%)
Days since push
- llm-code-interpreter
- 540d
- agentic-awesome-skills
- 0d
Archived on GitHub
- llm-code-interpreter
- Yes
- agentic-awesome-skills
- No
Open issues (now)
- llm-code-interpreter
- 6
- agentic-awesome-skills
- 12
Stars delta
- llm-code-interpreter
- Unknown
- agentic-awesome-skills
- +1.5k (30d)
Open issues delta
- llm-code-interpreter
- Unknown
- agentic-awesome-skills
- +11 (30d)
Owner type
- llm-code-interpreter
- Organization
- agentic-awesome-skills
- User
OSV dependency advisories
- llm-code-interpreter
- Published findings
- agentic-awesome-skills
- No published findings from this source as of 2026-07-11
Full report
- llm-code-interpreter
- Trust report
- agentic-awesome-skills
- Trust report
Choose llm-code-interpreter if…
- llm-code-interpreter is primarily TypeScript; agentic-awesome-skills is Python.
- Tags unique to llm-code-interpreter: ai, api, chatgpt, code-execution.
- Also covers LLM Frameworks.
- llm-code-interpreter ships Docker support for self-hosted deployment.
- - When you require an extended functionality code-interpreter tool for ChatGPT that can run complex codes and terminal processes, this tool offers comprehensive capabilities.
When NOT to use llm-code-interpreter
- - This tool should not be used if waiting for approval from OpenAI is undesirable or impractical for your project timeline.
- - Given its deprecation status, avoid using llm-code-interpreter in production environments where a stable and actively maintained code interpreter is essential.
Choose agentic-awesome-skills if…
- agentic-awesome-skills is primarily Python; llm-code-interpreter is TypeScript.
- Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills..
- Requirements: Min 2 GB RAM.
- Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools.
- Also covers AI Agents.
- - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.
When NOT to use agentic-awesome-skills
- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services.
- - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (e2b-dev/llm-code-interpreter) · observed Aug 6, 2026
- GitHub forks (e2b-dev/llm-code-interpreter) · observed Aug 6, 2026
- Last push (e2b-dev/llm-code-interpreter) · observed Feb 11, 2025
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- GitHub forks (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- Last push (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm-code-interpreter 481 · agentic-awesome-skills 45k (synced Aug 6, 2026).
Common questions
- What is the difference between llm-code-interpreter and agentic-awesome-skills?
- llm-code-interpreter: Code interpreter for ChatGPT with extensive capabilities. agentic-awesome-skills: Library of agentic skills for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm-code-interpreter over agentic-awesome-skills?
- Choose llm-code-interpreter over agentic-awesome-skills when llm-code-interpreter is primarily TypeScript; agentic-awesome-skills is Python; Tags unique to llm-code-interpreter: ai, api, chatgpt, code-execution; Also covers LLM Frameworks; llm-code-interpreter ships Docker support for self-hosted deployment; - When you require an extended functionality code-interpreter tool for ChatGPT that can run complex codes and terminal processes, this tool offers comprehensive capabilities.
- When should I choose agentic-awesome-skills over llm-code-interpreter?
- Choose agentic-awesome-skills over llm-code-interpreter when agentic-awesome-skills is primarily Python; llm-code-interpreter is TypeScript; Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools; Also covers AI Agents; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.
- When should I avoid llm-code-interpreter?
- - This tool should not be used if waiting for approval from OpenAI is undesirable or impractical for your project timeline. - Given its deprecation status, avoid using llm-code-interpreter in production environments where a stable and actively maintained code interpreter is essential.
- When should I avoid agentic-awesome-skills?
- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.
- Is llm-code-interpreter or agentic-awesome-skills more popular on GitHub?
- agentic-awesome-skills has more GitHub stars (45,139 vs 481). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-code-interpreter and agentic-awesome-skills open source?
- Yes - both are open-source projects on GitHub (llm-code-interpreter: MIT, agentic-awesome-skills: MIT).
- Where can I find alternatives to llm-code-interpreter or agentic-awesome-skills?
- GraphCanon lists graph-backed alternatives at llm-code-interpreter alternatives and agentic-awesome-skills alternatives (llm-code-interpreter markdown twin, agentic-awesome-skills 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, llm-code-interpreter or agentic-awesome-skills?
- llm-code-interpreter: Archived. agentic-awesome-skills: 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 llm-code-interpreter and agentic-awesome-skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-code-interpreter trust report; agentic-awesome-skills trust report.