open-code-review vs maestro
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
Go CLI that reviews Git diffs with an LLM agent and line-level comments
maestro
YAML-based UI and end-to-end test framework for Android, iOS and web
Verdict
open-code-review ranks higher, 91 to 87. Of the 4 score parts we measure for both, open-code-review leads on 2, maestro on 1 and 1 is even.
- Adoptionopen-code-review leads by 15 points, 94 to 79: a wide gap.
- FreshnessEven at 100.
- Maintenanceopen-code-review leads by 5 points, 88 to 83.
- Agent-readymaestro leads by 15 points, 85 to 70: a wide gap.
Pick open-code-review if you are
Teams adding LLM pull request review to local workflows or CI
- Deterministic file selection, bundling and rule matching; one sub-agent per bundle for large changesets
- Delegation mode lets the host coding agent use its own LLM, so no OCR API key
Pick maestro if you are
Mobile and web developers and QA engineers automating UI tests
- Single binary install; no drivers or SDK needed in the app under test
- One YAML syntax covers Android, iOS, web, React Native, Flutter and hybrid apps
| What we compare | open-code-review | maestro |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 94, widely used | 79, popular |
| Momentum | Not scored for this kind | Not scored for this kind |
| Freshness | 100, active | 100, active |
| Maintenance | 88, healthy | 83, healthy |
| Agent-ready | 70, partly | 85, ready |
| Facts from GitHub and the README | ||
| Stars | 49.8k | 16.4k |
| License | Apache-2.0 (permissive) | Apache-2.0 (permissive) |
| Last commit | Nov 2026 | Nov 2026 |
| Last release | Nov 2026 | Nov 2026 |
| Language | Go | Kotlin |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Mentioned | Not stated |
open-code-review
Open Code Review (`ocr`) reads a Git diff, bundles related files into sub-agent review units, and sends them to a configurable LLM that can read files and search the repo. It outputs structured comments with line positions, and `ocr scan` reviews whole files without a diff. It runs locally or in CI (GitHub Actions, GitLab CI, GitFlic CI, Gerrit), with plugins for Claude Code, Codex, Cursor, Kimi Code and OpenCode.
Who it is for: Teams adding LLM pull request review to local workflows or CI
Strengths
- Deterministic file selection, bundling and rule matching; one sub-agent per bundle for large changesets
- Delegation mode lets the host coding agent use its own LLM, so no OCR API key
- Separate comment-positioning and reflection modules to improve line accuracy
- Resumable review and scan sessions, with a browser session viewer
Weaknesses
- Requires Git 2.41 or newer
- Recall is lower than a general-purpose agent, per the README's own benchmark
- Benchmark figures are the authors' own AACR-Bench comparison
- Default mode needs an LLM provider and API key configured first
- no GPU
- Needs Git >= 2.41, LLM provider endpoint (unless delegation mode), Node.js/npm (for npm install)
- Models: Built-in and custom LLM providers, Host agent models in delegation mode
maestro
Maestro runs UI and end-to-end tests written as flat YAML command lists (launchApp, tapOn, assertVisible) against Android, iOS and web apps, driving them through the platform accessibility layer. It installs as a single CLI binary and also ships an MCP server (`maestro mcp`) so coding agents can control a live device and write flows. Flows run on emulators, simulators, browsers and physical Android devices.
Who it is for: Mobile and web developers and QA engineers automating UI tests
Strengths
- Single binary install; no drivers or SDK needed in the app under test
- One YAML syntax covers Android, iOS, web, React Native, Flutter and hybrid apps
- Built-in MCP server in the CLI works with Claude Code, Cursor, Codex and others
- Automatic waiting and flakiness tolerance remove manual sleep calls
Weaknesses
- Physical iOS devices are not supported
- Requires Java 17 or higher on the host
- Maestro Studio IDE is free but closed source
- Parallel execution at scale needs paid Maestro Cloud
- no GPU
- Needs Java 17+
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