--- title: "helm vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/stanford-crfm-helm-vs-tirth8205-code-review-graph" tools: ["stanford-crfm-helm", "tirth8205-code-review-graph"] --- # helm vs code-review-graph *GraphCanon updated Jul 12, 2026* ## Verdict Pick helm when license: helm is Apache-2.0, code-review-graph is MIT; pick code-review-graph when license: code-review-graph is MIT, helm is Apache-2.0. [helm](https://crfm.stanford.edu/helm) reports 2.9k GitHub stars, 400 forks, and 84 open issues, last pushed Jul 1, 2026. [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 [helm's repository](https://github.com/stanford-crfm/helm) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [helm](/tools/stanford-crfm-helm.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | Holistic, reproducible and transparent evaluation of foundation models | 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 | 2,850 | 19,416 | | Forks | 400 | 2,078 | | Open issues | 84 | 185 | | Language | Python | Python | | Adopt for | Helm is an open-source Python framework for evaluating foundation models, including LLMs and multimodal models. It emphasizes holistic, reproducible, and transparent evaluation processes. | - | | 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._ | | [helm](/tools/stanford-crfm-helm.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Days since push | 10d | 26d | | Open issues (now) | 84 | 185 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/stanford-crfm-helm/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Decision facts: helm - **Adopt for:** Helm is an open-source Python framework for evaluating foundation models, including LLMs and multimodal models. It emphasizes holistic, reproducible, and transparent evaluation processes. ## Choose when ### Choose helm if… - License: helm is Apache-2.0, code-review-graph is MIT. - Tags unique to helm: evaluation, language-models, foundation models, framework. - When you need a comprehensive tool to evaluate the performance of large language models (LLMs) and other types of foundation models in a standardized way. ### Choose code-review-graph if… - License: code-review-graph is MIT, helm is Apache-2.0. - Tags unique to code-review-graph: graphrag, ai-coding, incremental, llm. - Also covers LLM Frameworks, Developer Tools. ## When NOT to use helm - Helm may not be suitable if you are working with smaller scale projects that do not require extensive, holistic evaluation capabilities associated with foundation models. - If your framework of choice already provides sufficient evaluation tools or processes for foundation models, adding Helm might introduce unnecessary complexity. ## 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 helm and code-review-graph? helm: Holistic, reproducible and transparent evaluation of foundation models. 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 helm over code-review-graph? Choose helm over code-review-graph when License: helm is Apache-2.0, code-review-graph is MIT; Tags unique to helm: evaluation, language-models, foundation models, framework; When you need a comprehensive tool to evaluate the performance of large language models (LLMs) and other types of foundation models in a standardized way. ### When should I choose code-review-graph over helm? Choose code-review-graph over helm when License: code-review-graph is MIT, helm is Apache-2.0; Tags unique to code-review-graph: graphrag, ai-coding, incremental, llm; Also covers LLM Frameworks, Developer Tools. ### When should I avoid helm? Helm may not be suitable if you are working with smaller scale projects that do not require extensive, holistic evaluation capabilities associated with foundation models. If your framework of choice already provides sufficient evaluation tools or processes for foundation models, adding Helm might introduce unnecessary complexity. ### 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 helm or code-review-graph more popular on GitHub? code-review-graph has more GitHub stars (19,416 vs 2,850). Stars measure visibility, not whether either tool fits your constraints. ### Are helm and code-review-graph open source? Yes - both are open-source projects on GitHub (helm: Apache-2.0, code-review-graph: MIT). ### Where can I find alternatives to helm or code-review-graph? GraphCanon lists graph-backed alternatives at [helm alternatives](/tools/stanford-crfm-helm/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([helm markdown twin](/tools/stanford-crfm-helm/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/stanford-crfm-helm-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, helm or code-review-graph? helm: Active. 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 helm and code-review-graph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [helm trust report](/tools/stanford-crfm-helm/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=stanford-crfm-helm`](/api/graphcanon/graph?tool=stanford-crfm-helm) - 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/_