open-code-review vs front-end-checklist
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.
open-code-review
CLI that reviews Git diffs with an LLM agent and line-level comments
front-end-checklist
Front-end rules checklist with an MCP server for agent code review
Verdict
open-code-review ranks higher, 74 to 63. Of the 5 score parts we measure for both, open-code-review leads on 2, front-end-checklist on 1 and 2 are even.
- Adoptionfront-end-checklist leads by 28 points, 94 to 66: a wide gap.
- FreshnessEven at 100.
- Maintenanceopen-code-review leads by 58 points, 91 to 33: a wide gap.
- 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 front-end-checklist if you are
Front-end developers and teams auditing sites or feeding rules to agents
- 386 rules with Critical/High/Medium/Low priorities, grouped into 11 categories
- Hosted MCP server exposes 11 tools, including review_code, search_rules and audit_url
| What we compare | open-code-review | front-end-checklist |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 66, popular | 94, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 91, healthy | 33, patchy |
| Easy to run | 50, easy | 33, some setup |
| Agent-ready | 70, partly | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 47.2k | 74.5k |
| License | Apache-2.0 (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | May 2026 |
| Language | Go | MDX |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Mentioned | Not 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
front-end-checklist
A corpus of 386 English front-end rules across 11 categories (HTML, CSS, JavaScript, performance, accessibility, SEO, security, images, testing, privacy, i18n), each with a priority level, remediation guidance and verification steps. It is readable on the website or in the README, and a hosted MCP server and installable skills let agents review code or audit public URLs against the same rules.
Who it is for: Front-end developers and teams auditing sites or feeding rules to agents
Strengths
- 386 rules with Critical/High/Medium/Low priorities, grouped into 11 categories
- Hosted MCP server exposes 11 tools, including review_code, search_rules and audit_url
- Skills install with `npx skills add frontendchecklist/skills`, global or per rule
- MIT licensed; rules also usable as a plain README checklist without any tooling
Weaknesses
- Content repo, not a linter: findings come from an agent applying the rules
- audit_url only handles public https:// pages
- Security, privacy and i18n categories are thin (22, 5 and 5 rules)
- MCP tool discovery can be lazy in some clients; the prompt must name the server
- no GPU
- Needs MCP-compatible client, pnpm (for contributing)
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