open-code-review vs react-doctor

Two of the top projects in Code review and testing, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.

11st of 10 in Code review and testing

open-code-review

CLI that reviews Git diffs with an LLM agent and line-level comments

22nd of 10 in Code review and testing

react-doctor

CLI that scans React codebases for state, performance, security and accessibility issues

Verdict

open-code-review ranks higher, 79 to 72. Of the 5 score parts we measure for both, open-code-review leads on 2, react-doctor on 1 and 2 are even.

  • Adoptionopen-code-review leads by 15 points, 90 to 75: a wide gap.
  • FreshnessEven at 100.
  • Maintenancereact-doctor leads by 4 points, 95 to 91: close to even.
  • Easy to runopen-code-review leads by 17 points, 50 to 33: a wide gap.
  • Agent-readyEven at 70.

Pick open-code-review if you are

Teams adding LLM code review to local workflows or CI pipelines

  • Deterministic file selection and bundling; each bundle runs as an isolated sub-agent
  • Reviews workspace changes, branch ranges, single commits, or full files via `ocr scan`

Pick react-doctor if you are

React and React Native developers wanting code checks locally and in CI

  • Runs with one npx command from the project root, no setup needed
  • Deterministic rules rather than LLM-generated findings
open-code-review vs react-doctor: score parts and facts
What we compareopen-code-reviewreact-doctor
Score parts, out of 100
Adoption90, widely used75, popular
Freshness100, active100, active
Maintenance91, healthy95, healthy
Easy to run50, easy33, some setup
Agent-ready70, partly70, partly
Facts from GitHub and the README
Stars47.8k15k
LicenseApache-2.0 (permissive)custom license (read the license)
Last commitOct 2026Oct 2026
Last releaseOct 2026Oct 2026
LanguageGoTypeScript
DockerNoNo
GPUNot neededNot needed
arm64 or Apple SiliconMentionedNot stated

open-code-review

Open Code Review is a Go CLI (`ocr`) that reads a Git diff, groups related files into bundles, and runs each bundle through a tool-using LLM agent that produces structured review comments. File selection, rule matching, comment positioning and reflection are done by deterministic code rather than prompts. `ocr scan` reviews whole files when there is no diff, and delegation mode lets an existing coding agent do the review with its own model.

Who it is for: Teams adding LLM code review to local workflows or CI pipelines

Strengths

  • Deterministic file selection and bundling; each bundle runs as an isolated sub-agent
  • Reviews workspace changes, branch ranges, single commits, or full files via `ocr scan`
  • Sessions can be resumed and browsed in a viewer; JSON output for automation
  • Plugins for Claude Code, Codex, Cursor, Kimi Code, OpenCode; CI docs for GitHub, GitLab, Gerrit

Weaknesses

  • Requires Git >= 2.41 and a configured LLM endpoint, unless delegation mode is used
  • Recall is lower than general-purpose agents by the README's own benchmark
  • Benchmark figures are published by the project itself, not independently verified
  • No Docker or Compose files detected
  • no GPU
  • Needs Git >= 2.41, LLM provider API
  • Models: configurable LLM providers, custom providers

react-doctor

React Doctor runs deterministic checks over a React project and reports issues in state and effects, performance, architecture, security, accessibility and maintainability. It covers Next.js, Vite, Astro, TanStack, React Native and Expo. It also installs as a skill for coding agents, runs on pull requests in CI, and can record a Chrome DevTools performance trace of a running app.

Who it is for: React and React Native developers wanting code checks locally and in CI

Strengths

  • Runs with one npx command from the project root, no setup needed
  • Deterministic rules rather than LLM-generated findings
  • Agent skill installer supports Claude Code, Cursor, Codex and OpenCode
  • Rules configurable in doctor.config.ts; CI installer reports issues each PR introduces

Weaknesses

  • React-only; no support for other frameworks beyond the listed React stacks
  • CLI collects crash reports and anonymous usage data unless opted out
  • Runtime trace scan needs a running app and a Chrome DevTools trace
  • README does not list the number of rules or their names
  • no GPU
  • Needs Node.js, npm

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