# codereview.ollama vs Macroscope

codereview.ollama records 0 monthly visits with — month-over-month growth and Free pricing. Macroscope records 106,170 monthly visits with +39.6% growth and Free Trial, Paid, Contact for Pricing pricing.

| Metric | [codereview.ollama](https://openaitools.app/tool/codereview-ollama) | [Macroscope](https://openaitools.app/tool/macroscope) |
| :--- | :--- | :--- |
| Website URL | https://chromewebstore.google.com/detail/codereviewollama/edbfbcfdenimifjikfajbckbcnfhhapn | https://macroscope.com |
| Categories | AI Code Review, AI Developer Tools, Large Language Models (LLMs), AI GitHub | AI Code Assistant, AI Code Review, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Free | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 0 | 106,170 |
| MoM Growth Rate | — | +39.6% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 46,769 |
| Review Score | 4.3 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Browser Extension | Website |

## 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)

## Macroscope

Macroscope targets the review bottleneck that slows most engineering teams down. Every change that lands gets examined for correctness, security, test coverage, and potential regressions, so problems are surfaced during review rather than after a release. Because it understands the wider codebase and not just the diff, its feedback is context-aware, which reduces noisy comments that reviewers tend to ignore.

A second pillar is status and visibility. Macroscope reports what changed, why it changed, and what still needs attention across every repository and team, giving engineering leads and product managers a continuous picture without chasing people for updates. It also drafts pull request descriptions automatically, which trims a tedious task that developers often skip.

The platform is designed to live inside existing tools rather than replace them. It integrates with version control, chat, and issue-tracking systems such as Slack, Jira, and Linear, so insights arrive where the team already works. Macroscope has also introduced a beta capability, Murmur, which orchestrates cloud agents that write code and verify their work in isolated sandboxes, extending the product from reviewing changes to actively producing them.

**Pricing & Plans:** Macroscope offers a free starting point plus paid plans for teams, with an option to book a demo. Because tiers scale by team size and usage, check the official pricing page for current rates.

- **AI code review:** Reviews every change for correctness, security, test coverage, and regressions before it lands, using full-codebase context.
- **Automated PR descriptions:** Generates clear pull request descriptions so reviewers understand the intent of a change quickly.
- **Engineering status updates:** Shows what changed, why it changed, and what needs attention across every repository and team.
- **Workflow integrations:** Connects with version control, Slack, Jira, and Linear so insights appear inside tools the team already uses.
- **Murmur cloud agents (beta):** Orchestrates agents that write code and verify their work in isolated sandboxes.

**Strengths:** Context-aware review that understands the whole codebase, not just the diff; Automatically generated PR descriptions save developer time; Continuous status reporting across repos and teams; Integrates with Git, Slack, Jira, and Linear instead of forcing a new tool

**Limitations:** Automated review still benefits from human judgment on nuanced architectural decisions; Advanced capabilities such as cloud agents are in beta; Team-level pricing scales with usage, so costs grow with the organization

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

## Frequently Asked Questions

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

codereview.ollama has 0 monthly visits, while Macroscope has 106,170. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

codereview.ollama has a month-over-month growth rate of —; Macroscope has +39.6%.

### How does pricing compare?

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. Macroscope: Free Trial, Paid, Contact for Pricing. Macroscope offers a free starting point plus paid plans for teams, with an option to book a demo. Because tiers scale by team size and usage, check the official pricing page for current rates.

## 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 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 3 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 4 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 5 | [CodeRabbit](https://openaitools.app/tool/coderabbit) | 1,048,880 | +4.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI code review, PR triage, and security monitoring for fast-moving teams | [.md](https://openaitools.app/tool/coderabbit.md) |
| 6 | [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) |
| 7 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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

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