--- title: "codealpaca vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sahil280114-codealpaca-vs-tirth8205-code-review-graph" tools: ["sahil280114-codealpaca", "tirth8205-code-review-graph"] --- # codealpaca vs code-review-graph *GraphCanon updated Oct 7, 2026* ## 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. [codealpaca](https://github.com/sahil280114/codealpaca) reports 1.5k GitHub stars, 114 forks, and 17 open issues, last pushed May 12, 2023. [code-review-graph](https://code-review-graph.com) has 32k stars, 2.9k forks, and 135 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [codealpaca's repository](https://github.com/sahil280114/codealpaca) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [codealpaca](/tools/sahil280114-codealpaca.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | An instruction-following LLaMA model for code generation. | Local-first code intelligence graph for AI coding tools | | Stars | 1,514 | 31,569 | | Forks | 114 | 2,871 | | Open issues | 17 | 135 | | Language | Python | Python | | Adopt for | A specialized LLaMA model for generating code from instructions, leveraging 20K fine-tuning data inspired by the Self-Instruct paper. | 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 | - | - | | Runtime | - | - | | License | The project uses Apache-2.0 license, allowing users to utilize the source code and documentation freely. | MIT License | | Categories | LLM Frameworks, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [codealpaca](/tools/sahil280114-codealpaca.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1243d | 1d | | Open issues (now) | 17 | 135 | | Stars delta | -1 (30d) | +5.1k (30d) | | Open issues delta | 0 (30d) | +13 (30d) | | Full report | [trust report](/tools/sahil280114-codealpaca/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Shared compatibility - **Python**: [codealpaca](/tools/sahil280114-codealpaca.md) - Python runtime; [code-review-graph](/tools/tirth8205-code-review-graph.md) - Python runtime ## Decision facts: codealpaca - **Requirements:** Model weights are not available in this repository due to licensing restrictions. - **Adopt for:** A specialized LLaMA model for generating code from instructions, leveraging 20K fine-tuning data inspired by the Self-Instruct paper. - **License detail:** The project uses Apache-2.0 license, allowing users to utilize the source code and documentation freely. ## Decision facts: code-review-graph - **Requirements:** Requires Python 3.10+. - **Adopt for:** 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. - **License detail:** MIT License ## Choose when ### 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. ### 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 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 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. ## 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](/tools/sahil280114-codealpaca/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([codealpaca markdown twin](/tools/sahil280114-codealpaca/alternatives.md), [code-review-graph markdown twin](/tools/tirth8205-code-review-graph/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/sahil280114-codealpaca-vs-tirth8205-code-review-graph.md) 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](/tools/sahil280114-codealpaca/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=sahil280114-codealpaca`](/api/graphcanon/graph?tool=sahil280114-codealpaca) - 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/_