--- title: "instruct-eval vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/declare-lab-instruct-eval-vs-tirth8205-code-review-graph" tools: ["declare-lab-instruct-eval", "tirth8205-code-review-graph"] --- # instruct-eval vs code-review-graph *GraphCanon updated Jul 12, 2026* ## Verdict Pick instruct-eval when license: instruct-eval is Apache-2.0, code-review-graph is MIT; pick code-review-graph when license: code-review-graph is MIT, instruct-eval is Apache-2.0. [instruct-eval](https://declare-lab.github.io/instruct-eval/) reports 552 GitHub stars, 45 forks, and 24 open issues, last pushed Mar 10, 2024. [code-review-graph](https://code-review-graph.com) has 19k stars, 2.1k forks, and 185 open issues, last pushed Jun 14, 2026. Figures are from public GitHub metadata via [instruct-eval's repository](https://github.com/declare-lab/instruct-eval) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [instruct-eval](/tools/declare-lab-instruct-eval.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | Code for evaluating instruction-tuned language models like Alpaca and Flan-T5 | Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w | | Stars | 552 | 19,416 | | Forks | 45 | 2,078 | | Open issues | 24 | 185 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Evaluation & Observability | LLM Frameworks, Evaluation & Observability, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [instruct-eval](/tools/declare-lab-instruct-eval.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 853d | 26d | | Open issues (now) | 24 | 185 | | Owner type | Organization | User | | Security scan | 83 low (83 low) | No MCP manifest | | Full report | [trust report](/tools/declare-lab-instruct-eval/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Choose when ### Choose instruct-eval if… - License: instruct-eval is Apache-2.0, code-review-graph is MIT. - Tags unique to instruct-eval: evaluation, safety-evaluation, performance-assessment, large-language-models. - Leaner open-issue backlog (24). ### Choose code-review-graph if… - License: code-review-graph is MIT, instruct-eval is Apache-2.0. - Tags unique to code-review-graph: graphrag, ai-coding, incremental, claude. - Also covers LLM Frameworks, Developer Tools. ## When NOT to use instruct-eval - Last GitHub push was 854 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on instruct-eval. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use code-review-graph - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between instruct-eval and code-review-graph? instruct-eval: Code for evaluating instruction-tuned language models like Alpaca and Flan-T5. code-review-graph: Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w. See the comparison table for live GitHub stats and shared categories. ### When should I choose instruct-eval over code-review-graph? Choose instruct-eval over code-review-graph when License: instruct-eval is Apache-2.0, code-review-graph is MIT; Tags unique to instruct-eval: evaluation, safety-evaluation, performance-assessment, large-language-models; Leaner open-issue backlog (24). ### When should I choose code-review-graph over instruct-eval? Choose code-review-graph over instruct-eval when License: code-review-graph is MIT, instruct-eval is Apache-2.0; Tags unique to code-review-graph: graphrag, ai-coding, incremental, claude; Also covers LLM Frameworks, Developer Tools. ### When should I avoid instruct-eval? Last GitHub push was 854 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on instruct-eval. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid code-review-graph? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is instruct-eval or code-review-graph more popular on GitHub? code-review-graph has more GitHub stars (19,416 vs 552). Stars measure visibility, not whether either tool fits your constraints. ### Are instruct-eval and code-review-graph open source? Yes - both are open-source projects on GitHub (instruct-eval: Apache-2.0, code-review-graph: MIT). ### Where can I find alternatives to instruct-eval or code-review-graph? GraphCanon lists graph-backed alternatives at [instruct-eval alternatives](/tools/declare-lab-instruct-eval/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([instruct-eval markdown twin](/tools/declare-lab-instruct-eval/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/declare-lab-instruct-eval-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, instruct-eval or code-review-graph? instruct-eval: Dormant. code-review-graph: 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 instruct-eval and code-review-graph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [instruct-eval trust report](/tools/declare-lab-instruct-eval/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=declare-lab-instruct-eval`](/api/graphcanon/graph?tool=declare-lab-instruct-eval) - 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/_