Comparison
codealpaca vs code-review-graph
Verdict
Pick codealpaca if a specialized LLaMA model for generating code from instructions, leveraging 20K fine-tuning data inspired by the Self-Instruct paper; pick code-review-graph if code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows.
Markdown twin · codealpaca alternatives · code-review-graph alternatives
GraphCanon updated Oct 7, 2026
vs
Trust & integrity
| Signal | codealpaca | code-review-graph |
|---|---|---|
| Maintenance | Dormant (1243d since push) As of Oct 7, 2026 · github_public_v1 | Very active (1d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Oct 7, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- codealpaca
- An instruction-following LLaMA model for code generation.
- code-review-graph
- Local-first code intelligence graph for AI coding tools
Stars
- codealpaca
- 1.5k
- code-review-graph
- 32k
Forks
- codealpaca
- 114
- code-review-graph
- 2.9k
Open issues
- codealpaca
- 17
- code-review-graph
- 135
Language
- codealpaca
- Python
- code-review-graph
- Python
Adopt for
- codealpaca
- A specialized LLaMA model for generating code from instructions, leveraging 20K fine-tuning data inspired by the Self-Instruct paper.
- code-review-graph
- code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows.
Persona
- codealpaca
- -
- code-review-graph
- -
Runtime
- codealpaca
- -
- code-review-graph
- -
License
- codealpaca
- The project uses Apache-2.0 license, allowing users to utilize the source code and documentation freely.
- code-review-graph
- MIT License
Last pushed
- codealpaca
- May 12, 2023
- code-review-graph
- Sep 17, 2026
Categories
- codealpaca
- LLM Frameworks, Model Training
- code-review-graph
- Developer Tools, Model Training
Trust and health
Maintenance
- codealpaca
- Dormant (18%)
- code-review-graph
- Very active (96%)
Days since push
- codealpaca
- 1243d
- code-review-graph
- 1d
Open issues (now)
- codealpaca
- 17
- code-review-graph
- 135
Stars delta
- codealpaca
- -1 (30d)
- code-review-graph
- +5.1k (30d)
Open issues delta
- codealpaca
- 0 (30d)
- code-review-graph
- +13 (30d)
OSV dependency advisories
- codealpaca
- Published findings
- code-review-graph
- No lockfile (source not queried)
Full report
- codealpaca
- Trust report
- code-review-graph
- Trust report
Shared compatibility
- Python · codealpaca: Python runtime · code-review-graph: Python runtime
Choose codealpaca if…
- License: codealpaca is Apache-2.0, code-review-graph is MIT.
- Requirements: Model weights are not available in this repository due to licensing restrictions..
- Tags unique to codealpaca: code-generation, fine-tuning, instruction-following, python.
- Also covers LLM Frameworks.
- When you need instruction-following capabilities tailored specifically for code generation tasks.
When NOT to use codealpaca
- Avoid if you require models fine-tuned on datasets that cover a broader spectrum of non-code-related instructions beyond code editing and generation.
- Do not use this tool when you must adhere to strict compliance or safety standards for model output, as the Code Alpaca model is noted to be unsafe and not fine-tuned for harmlessness.
Choose code-review-graph if…
- License: code-review-graph is MIT, codealpaca is Apache-2.0.
- Requirements: Requires Python 3.10+..
- Tags unique to code-review-graph: ai-coding, claude, code-review, graph.
- Also covers Developer Tools.
- When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance.
When NOT to use code-review-graph
- If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity.
- When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits.
- If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (sahil280114/codealpaca) · observed Oct 7, 2026
- GitHub forks (sahil280114/codealpaca) · observed Oct 7, 2026
- Last push (sahil280114/codealpaca) · observed May 12, 2023
- License file (Apache-2.0) · observed Oct 7, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tirth8205/code-review-graph) · observed Sep 20, 2026
- GitHub forks (tirth8205/code-review-graph) · observed Sep 20, 2026
- Last push (tirth8205/code-review-graph) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: codealpaca 1.5k · code-review-graph 32k (synced Oct 7, 2026).
Common questions
- What is the difference between codealpaca and code-review-graph?
- codealpaca: An instruction-following LLaMA model for code generation.. code-review-graph: Local-first code intelligence graph for AI coding tools. See the comparison table for live GitHub stats and shared categories.
- When should I choose codealpaca over code-review-graph?
- Choose codealpaca over code-review-graph when License: codealpaca is Apache-2.0, code-review-graph is MIT; Requirements: Model weights are not available in this repository due to licensing restrictions.; Tags unique to codealpaca: code-generation, fine-tuning, instruction-following, python; Also covers LLM Frameworks; When you need instruction-following capabilities tailored specifically for code generation tasks.
- When should I choose code-review-graph over codealpaca?
- Choose code-review-graph over codealpaca when License: code-review-graph is MIT, codealpaca is Apache-2.0; Requirements: Requires Python 3.10+.; Tags unique to code-review-graph: ai-coding, claude, code-review, graph; Also covers Developer Tools; When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance.
- When should I avoid codealpaca?
- Avoid if you require models fine-tuned on datasets that cover a broader spectrum of non-code-related instructions beyond code editing and generation. Do not use this tool when you must adhere to strict compliance or safety standards for model output, as the Code Alpaca model is noted to be unsafe and not fine-tuned for harmlessness.
- When should I avoid code-review-graph?
- If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity. When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits. If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively.
- Is codealpaca or code-review-graph more popular on GitHub?
- code-review-graph has more GitHub stars (31,569 vs 1,514). Stars measure visibility, not whether either tool fits your constraints.
- Are codealpaca and code-review-graph open source?
- Yes - both are open-source projects on GitHub (codealpaca: Apache-2.0, code-review-graph: MIT).
- Where can I find alternatives to codealpaca or code-review-graph?
- GraphCanon lists graph-backed alternatives at codealpaca alternatives and code-review-graph alternatives (codealpaca markdown twin, code-review-graph 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, codealpaca or code-review-graph?
- codealpaca: Dormant. code-review-graph: 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 codealpaca and code-review-graph?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: codealpaca trust report; code-review-graph trust report.