# CodeRabbit vs codereview.ollama

CodeRabbit records 1,048,880 monthly visits with +4.6% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. codereview.ollama records 0 monthly visits with — growth and Free pricing.

| Metric | [CodeRabbit](https://openaitools.app/tool/coderabbit) | [codereview.ollama](https://openaitools.app/tool/codereview-ollama) |
| :--- | :--- | :--- |
| Website URL | https://coderabbit.ai | https://chromewebstore.google.com/detail/codereviewollama/edbfbcfdenimifjikfajbckbcnfhhapn |
| Categories | AI Code Review, AI GitHub, AI Code Assistant, AI Copilot | AI Code Review, AI Developer Tools, Large Language Models (LLMs), AI GitHub |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Free |
| Monthly Visits | 1,048,880 | 0 |
| MoM Growth Rate | +4.6% | — |
| Primary Market | United States | Global |
| Direct Visits | 335,005 | 0 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Browser Extension |

## CodeRabbit

CodeRabbit is built around a specific problem: AI coding agents can now produce changes faster than human reviewers can read them. Instead of treating review as a nice-to-have, the product positions an automated reviewer as the validation layer between generated code and production. When a pull request opens, CodeRabbit reads the diff together with repository context — coding guidelines, related files, dependency graph — and posts review comments directly in the PR thread. Each comment can include a committable suggestion, and the bot will hold a conversation with the author, including coding agents, until the feedback is addressed and verified.

Beyond the review itself, the platform adds three layers. Triage turns an overwhelming queue into a prioritised Kanban-style board, ranking PRs by business impact and risk so safe, routine changes move quickly and risky ones get attention. Change Stack addresses explainability: semantic diffs, blast-radius context and architectural diagrams turn a thousand-line change into something a person can understand in minutes. Security runs scheduled deep scans and scans on every PR, verifies findings to reduce false positives, then opens a fix PR.

The target audience is engineering teams at scale — the site cites thousands of customers and tens of thousands of repositories. Reviews are customisable through configurable guidelines and review personalities (calmer or more assertive), and the tool learns from author replies so it stops repeating conventions the team has rejected. Pricing follows a freemium model with a free tier, a free trial and paid seats for teams.

**Pricing & Plans:** Freemium with a free trial, a free tier for smaller/open-source use, and paid per-developer plans. Higher tiers add triage, Change Stack and security features; enterprise pricing is available on request.

- **Automated PR reviews with context:** Every pull request gets line-level comments that draw on repository-wide context, coding guidelines and related files rather than just the diff in isolation.
- **Committable suggestions and agent loops:** Comments ship with one-click fixes, and CodeRabbit will iterate with human authors or coding agents until the feedback is resolved and re-verified.
- **PR triage and prioritisation:** Scores, ranks and routes incoming pull requests so high-impact changes are reviewed first and routine ones fast-track, with a board view of the queue.
- **Change Stack explainability:** Semantic diffs, blast-radius analysis and architecture diagrams make very large, agent-generated changes understandable in a few minutes.
- **Continuous security scanning:** Scheduled deep scans plus scans on every PR surface dependency vulnerabilities and codebase risks, verify them to cut false positives, and open fix PRs.

**Strengths:** Reviews are genuinely contextual, not lint-level pattern matching, so comments are usually actionable; Triage and Change Stack solve real scaling problems created by agentic coding rather than adding another dashboard; Integrates with the GitHub and GitLab workflows teams already use, with committable suggestions and agent loops; Free tier and trial make it easy to evaluate on a real repository before committing budget

**Limitations:** Value scales with team size — small projects may find the full platform heavier than needed; Review quality and noise level depend on tuning guidelines and profiles, which takes an initial investment; Deeper security and explainability features sit behind paid tiers

[Profile (Markdown)](https://openaitools.app/tool/coderabbit.md)

## codereview.ollama

codereview.ollama is a lightweight browser extension published on the Chrome Web Store that adds automated code review to your GitHub and GitLab workflows. Rather than sending your diffs to a hosted AI service, it talks to a large language model you host yourself through Ollama or LM Studio, which means the model runs locally or on infrastructure you control. That makes it attractive to teams with privacy, compliance or cost constraints that rule out cloud-based reviewers.

The extension is deliberately narrow in scope: its job is to review pull requests on GitHub and merge requests on GitLab and surface AI-generated feedback on the changes. Because it relies on the models you already run (for example a Llama, Mistral, Qwen or DeepSeek model served by Ollama), the quality and style of the review scale with the model you choose, and you can swap models without changing tools. It is distributed as a free Chrome extension, currently authored by the publisher limingchina.

Because it is a browser extension, setup is mostly about pointing it at your running Ollama or LM Studio endpoint and granting it access to the relevant code-hosting pages. The developer states that the extension does not collect or use your data, which aligns with the local-first design. Note that codereview.ollama is a third-party project and is not affiliated with or endorsed by the Ollama project or by GitHub or GitLab.

**Pricing & Plans:** Free. codereview.ollama is distributed as a free Chrome extension with no paid tier listed. You provide the compute by running your own model through Ollama or LM Studio, so any cost comes from your own hardware or hosting.

- **Pull request review on GitHub:** Generates AI feedback on GitHub pull requests so reviewers get a first pass of comments before human review.
- **Merge request review on GitLab:** Works with GitLab merge requests as well as GitHub PRs, covering the two most common code-hosting platforms for small teams.
- **Local LLMs via Ollama and LM Studio:** Connects to models you host yourself, keeping code and prompts on infrastructure you control instead of a cloud AI vendor.
- **Model-agnostic:** Any model you can serve through Ollama or LM Studio can be used, so you can pick a model that fits your hardware and review style.
- **No data collection:** The developer discloses that the extension does not collect or use your data, consistent with its local-first approach.

**Strengths:** Free to install and use, with no subscription or per-seat pricing; Keeps review runs on your own Ollama or LM Studio setup rather than the cloud; Works on both GitHub pull requests and GitLab merge requests; Model-agnostic, so you can match the model to your hardware and needs

**Limitations:** Requires you to run and maintain your own Ollama or LM Studio server; Limited adoption so far, with a small user base and few reviews; As a small third-party extension, its review depth depends entirely on the local model you point it at

[Profile (Markdown)](https://openaitools.app/tool/codereview-ollama.md)

## Frequently Asked Questions

### How do CodeRabbit and codereview.ollama compare in monthly traffic?

CodeRabbit has 1,048,880 monthly visits, while codereview.ollama has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CodeRabbit has a month-over-month growth rate of +4.6%; codereview.ollama has —.

### How does pricing compare?

CodeRabbit: Freemium, Free Trial, Paid, Contact for Pricing. Freemium with a free trial, a free tier for smaller/open-source use, and paid per-developer plans. Higher tiers add triage, Change Stack and security features; enterprise pricing is available on request. codereview.ollama: Free. Free. codereview.ollama is distributed as a free Chrome extension with no paid tier listed. You provide the compute by running your own model through Ollama or LM Studio, so any cost comes from your own hardware or hosting.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 2 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 3 | [Aider](https://openaitools.app/tool/aider) | 280,030 | +2% | Free | Open-source AI pair programming inside your terminal and git repo | [.md](https://openaitools.app/tool/aider.md) |
| 4 | [CodeGPT](https://openaitools.app/tool/code-gpt) | 170,064 | -19% | Freemium, Paid, Contact for Pricing | AI coding agent for VS Code, JetBrains and Visual Studio with bring-your-own-key model freedom | [.md](https://openaitools.app/tool/code-gpt.md) |
| 5 | [Macroscope](https://openaitools.app/tool/macroscope) | 106,170 | +39.6% | Free Trial, Paid, Contact for Pricing | AI code review and status updates that keep every repo on track | [.md](https://openaitools.app/tool/macroscope.md) |
| 6 | [Bito](https://openaitools.app/tool/bito) | 63,829 | +9.8% | Freemium, Paid, Contact for Pricing | Context-aware AI code reviews and a model router for coding agents | [.md](https://openaitools.app/tool/bito.md) |
| 7 | [cubic](https://openaitools.app/tool/cubic) | 51,508 | -10.5% | Freemium, Contact for Pricing | Performs deep codebase-wide analysis on pull requests to catch subtle architectural bugs before they get merged. | [.md](https://openaitools.app/tool/cubic.md) |
| 8 | [Refact.ai](https://openaitools.app/tool/refact-ai) | 40,171 | -20.8% | Freemium | Open-source, self-hosted AI coding agent that codes like you | [.md](https://openaitools.app/tool/refact-ai.md) |
| 9 | [Sourcery](https://openaitools.app/tool/sourcery-sentinel) | 38,834 | -23.6% | Freemium | Combines pull request code review with dedicated security scanning and automated fix suggestions for GitHub. | [.md](https://openaitools.app/tool/sourcery-sentinel.md) |
| 10 | [Kodus](https://openaitools.app/tool/kodus-io) | 32,150 | -14.2% | Freemium | Open-source AI code review you can self-host or run in the cloud with your own model keys | [.md](https://openaitools.app/tool/kodus-io.md) |

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Source: https://openaitools.app/compare/coderabbit-vs-codereview-ollama

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)