---
title: "pyCodeAGI vs academic-research-skills"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/chakkaradeep-pycodeagi-vs-imbad0202-academic-research-skills"
tools: ["chakkaradeep-pycodeagi", "imbad0202-academic-research-skills"]
---

# pyCodeAGI vs academic-research-skills

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick pyCodeAGI when tags unique to pyCodeAGI: python; pick academic-research-skills when tags unique to academic-research-skills: academic-pipeline, academic-writing, ai-research, claude.

[pyCodeAGI](https://github.com/chakkaradeep/pyCodeAGI) reports 185 GitHub stars, 28 forks, and 3 open issues, last pushed May 4, 2023. [academic-research-skills](https://buymeacoffee.com/crucify020v) has 37k stars, 3.0k forks, and 9 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [pyCodeAGI's repository](https://github.com/chakkaradeep/pyCodeAGI) and [academic-research-skills's repository](https://github.com/Imbad0202/academic-research-skills).

| | [pyCodeAGI](/tools/chakkaradeep-pycodeagi.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) |
| --- | --- | --- |
| Tagline | pyCodeAGI | Academic Research Skills for Claude Code: research → write → review → revise → finalize |
| Stars | 185 | 37,300 |
| Forks | 28 | 3,043 |
| Open issues | 3 | 9 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | - | Other |
| Categories | LLM Frameworks | Data & Retrieval, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [pyCodeAGI](/tools/chakkaradeep-pycodeagi.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 1164d | 0d |
| Open issues (now) | 3 | 9 |
| Security scan | No criticals | No lockfile |
| Full report | [trust report](/tools/chakkaradeep-pycodeagi/trust.md) | [trust report](/tools/imbad0202-academic-research-skills/trust.md) |

## Choose when

### Choose pyCodeAGI if…

- Tags unique to pyCodeAGI: python.
- Leaner open-issue backlog (3).

### Choose academic-research-skills if…

- Tags unique to academic-research-skills: academic-pipeline, academic-writing, ai-research, claude.
- Also covers Data & Retrieval.
- More GitHub stars (37k vs 185) - visibility, not fit.

## When NOT to use pyCodeAGI

- Last GitHub push was 1165 days ago (dormant maintenance, May 4, 2023). Validate activity before betting a new project on pyCodeAGI.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use academic-research-skills

- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between pyCodeAGI and academic-research-skills?

pyCodeAGI: pyCodeAGI. academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. See the comparison table for live GitHub stats and shared categories.

### When should I choose pyCodeAGI over academic-research-skills?

Choose pyCodeAGI over academic-research-skills when Tags unique to pyCodeAGI: python; Leaner open-issue backlog (3).

### When should I choose academic-research-skills over pyCodeAGI?

Choose academic-research-skills over pyCodeAGI when Tags unique to academic-research-skills: academic-pipeline, academic-writing, ai-research, claude; Also covers Data & Retrieval; More GitHub stars (37k vs 185) - visibility, not fit.

### When should I avoid pyCodeAGI?

Last GitHub push was 1165 days ago (dormant maintenance, May 4, 2023). Validate activity before betting a new project on pyCodeAGI. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid academic-research-skills?

Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is pyCodeAGI or academic-research-skills more popular on GitHub?

academic-research-skills has more GitHub stars (37,300 vs 185). Stars measure visibility, not whether either tool fits your constraints.

### Are pyCodeAGI and academic-research-skills open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to pyCodeAGI or academic-research-skills?

GraphCanon lists graph-backed alternatives at [pyCodeAGI alternatives](/tools/chakkaradeep-pycodeagi/alternatives) and [academic-research-skills alternatives](/tools/imbad0202-academic-research-skills/alternatives) ([pyCodeAGI markdown twin](/tools/chakkaradeep-pycodeagi/alternatives.md), [academic-research-skills markdown twin](/tools/imbad0202-academic-research-skills/alternatives.md)), 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](/compare/chakkaradeep-pycodeagi-vs-imbad0202-academic-research-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, pyCodeAGI or academic-research-skills?

pyCodeAGI: Dormant. academic-research-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 pyCodeAGI and academic-research-skills?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pyCodeAGI trust report](/tools/chakkaradeep-pycodeagi/trust); [academic-research-skills trust report](/tools/imbad0202-academic-research-skills/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=chakkaradeep-pycodeagi`](/api/graphcanon/graph?tool=chakkaradeep-pycodeagi)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
