# Miro vs Rerun

Miro records 30,749,206 monthly visits with +1.7% month-over-month growth and Freemium, Contact for Pricing pricing. Rerun records 54,018 monthly visits with -23.7% growth and Free pricing.

| Metric | [Miro](https://openaitools.app/tool/miro) | [Rerun](https://openaitools.app/tool/rerun) |
| :--- | :--- | :--- |
| Website URL | https://miro.com | https://rerun.io |
| Categories | AI Project Management, AI Workflow, Whiteboard AI, AI Diagram Generator | AI Developer Tools, Log Management, AI For Data Analytics, AI Monitor |
| Pricing Model | Freemium, Contact for Pricing | Free |
| Monthly Visits | 30,749,206 | 54,018 |
| MoM Growth Rate | +1.7% | -23.7% |
| Primary Market | United States | United States |
| Direct Visits | 20,179,618 | 24,880 |
| Review Score | 4.5 | 4.6 |
| Saved Count | 40 | 1 |
| Supported Platforms | Website | Website |

## Miro

Miro is a visual collaboration platform built around an infinite, multiplayer canvas. Teams use it to run brainstorming sessions, design sprints, workshops, and retrospectives, sketching ideas as sticky notes, shapes, and freeform drawings that everyone can see and edit at the same time. What began as a digital whiteboard has expanded into an "innovation workspace" where the messy early thinking and the structured plan that follows live in one place.

Structured formats are a large part of that expansion. Miro boards can hold Docs, Tables, Slides, Kanban boards, and Timelines, so a research synthesis can flow straight into a roadmap without switching tools. Thousands of templates and prebuilt playbooks cover common ceremonies, from customer journey mapping to technical architecture diagrams. Deep integrations with Jira, Asana, Linear, ClickUp, Slack, and Microsoft let the canvas stay connected to where work actually gets executed.

AI now runs through the product. Miro can generate diagrams, tables, and summaries from board content, clean up images, and connect external assistants such as Claude, Cursor, or Copilot through an MCP server. Paid plans meter these features with AI credits, and enterprise tiers add SSO, governance controls, and advanced security. Pricing starts with a free tier for small teams and scales through per-member plans to custom enterprise agreements.

**Pricing & Plans:** Freemium with three paid paths. Free covers small teams with 3 editable boards, templates, and core formats. Starter runs about $8 per member/month billed yearly with unlimited private boards and 25 AI credits per member. Business is about $20 per member/month billed yearly with workspaces, prototyping, and AI workflows. Enterprise is quoted on request with SSO, governance, and dedicated support.

- **Infinite collaborative canvas:** An infinite multiplayer board where cursors, comments, and live editing let remote and hybrid teams work in the same space simultaneously.
- **Structured formats on the canvas:** Docs, Tables, Slides, Kanban, and Timelines live alongside freeform drawing so a workshop can turn directly into a structured plan.
- **AI diagramming and synthesis:** Generate diagrams, tables, and summaries, remove image backgrounds, and connect external AI assistants through the MCP server.
- **Templates and playbooks:** 6,000-7,000+ templates for brainstorming, workshops, roadmapping, and process mapping give teams a running start.
- **Integrations and two-way sync:** Connect 250+ tools such as Jira, Asana, Linear, Slack, and Microsoft, with two-way sync available for planning workflows.

**Strengths:** Best-in-class infinite canvas that scales from a quick brainstorm to large workshops; Structured Docs, Tables, Slides, and Kanban reduce tool switching; Huge integration and template ecosystem including two-way Jira and Linear sync; Strong enterprise security, SSO, and admin controls for large organizations

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

## Rerun

Rerun is an open-source SDK and visualizer built for multi-rate, multimodal data, and it markets itself as the data layer for physical AI. Engineers use it to log sensor streams, computer-vision outputs, 3D transforms, and time-series metrics from the first recording through to large-scale review. Because it is a flexible framework rather than a locked platform, teams can extend the viewer with their own views and tools at each stage of the pipeline.

The SDK ships with Python, Rust, and C++ APIs, so it fits into existing robotics and perception stacks without a rewrite. Data is stored as column-chunks in rrd files, which supports full dataframe or SQL queries over any recording, down into the columns, time ranges, and values inside it rather than only metadata.

Beyond the free tooling, Rerun offers Rerun Hub, a production backend that catalogs recordings, indexes byte ranges, and turns object stores into a queryable, streamable foundation. Hub supports running transforms on the edge or close to the data and streaming datasets directly to GPUs for training without an export step.

**Pricing & Plans:** The Rerun SDK and viewer are open source and free to use. Rerun also offers Rerun Hub, a production backend, whose pricing is arranged separately with the team. Check the Rerun website and GitHub repository for current terms.

- **Multimodal data visualization:** Log, store, and view images, point clouds, 3D transforms, and time series together in one viewer.
- **Open-source logging SDK:** Record multi-rate, multimodal data as column-chunks in rrd files, or convert from other formats.
- **Query and transform:** Run full dataframe or SQL queries over robotics data, down into columns, time ranges, and values.
- **Edge and stream transforms:** Add derived columns and evolve schemas without breaking history, on the edge or near the data.
- **Rerun Hub backend:** A hosted backend with catalog, byte-range indexing, and retrieval that turns object stores into a queryable dataset.

**Strengths:** Open-source core with permissive use across research and production; Handles multimodal and multi-rate data in one viewer; APIs for Python, Rust, and C++; Query and transform data without an export step

**Limitations:** Requires coding in Rust, Python, or C++ to get full value; The hosted Rerun Hub backend is a newer, additional product beyond the free SDK; Visualization work is aimed at engineering teams, not general business users; Advanced production features assume existing logging pipelines

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

## Frequently Asked Questions

### How do Miro and Rerun compare in monthly traffic?

Miro has 30,749,206 monthly visits, while Rerun has 54,018. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Miro has a month-over-month growth rate of +1.7%; Rerun has -23.7%.

### How does pricing compare?

Miro: Freemium, Contact for Pricing. Freemium with three paid paths. Free covers small teams with 3 editable boards, templates, and core formats. Starter runs about $8 per member/month billed yearly with unlimited private boards and 25 AI credits per member. Business is about $20 per member/month billed yearly with workspaces, prototyping, and AI workflows. Enterprise is quoted on request with SSO, governance, and dedicated support. Rerun: Free. The Rerun SDK and viewer are open source and free to use. Rerun also offers Rerun Hub, a production backend, whose pricing is arranged separately with the team. Check the Rerun website and GitHub repository for current terms.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Datadog](https://openaitools.app/tool/datadog) | 5,175,760 | -4.8% | Freemium, Free Trial, Paid, Contact for Pricing, Free | Unified observability, security and incident response for cloud-scale engineering teams | [.md](https://openaitools.app/tool/datadog.md) |
| 2 | [Whimsical](https://openaitools.app/tool/whimsical) | 966,895 | -18.7% | Freemium | Stronger focus on structured mind mapping and flowcharting, but lacks Miro's massive template library and enterprise workshop features. | [.md](https://openaitools.app/tool/whimsical.md) |
| 3 | [Eraser](https://openaitools.app/tool/eraser) | 534,396 | -23.6% | Freemium, Paid, Contact for Pricing | Excels at generating technical architecture diagrams directly from code, but less suited for freeform creative brainstorming. | [.md](https://openaitools.app/tool/eraser.md) |
| 4 | [Boardmix](https://openaitools.app/tool/boardmix-online-whiteboard) | 447,560 | -6.2% | Freemium | Similar collaborative online whiteboard experience with strong AI diagramming, but offers fewer complex enterprise integration options. | [.md](https://openaitools.app/tool/boardmix-online-whiteboard.md) |
| 5 | [Flowith](https://openaitools.app/tool/flowith) | 324,679 | -27.3% | Contact for Pricing | Features a spatial visual canvas integrated with multi-model chat agents, but less focused on team workshop facilitation. | [.md](https://openaitools.app/tool/flowith.md) |
| 6 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 7 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |
| 8 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | The multimodal data layer for computer vision and physical AI teams | [.md](https://openaitools.app/tool/encord-com.md) |
| 9 | [MyMap.AI](https://openaitools.app/tool/mymap-ai) | 206,056 | -6.6% | Freemium | Converts natural language conversations directly into structured mind maps, though offering less versatile general drawing tools. | [.md](https://openaitools.app/tool/mymap-ai.md) |
| 10 | [Cloudairy](https://openaitools.app/tool/cloudairy) | 179,162 | -13% | Freemium, Contact for Pricing | Combines whiteboarding and documentation in one cloud workspace, though with a smaller ecosystem than Miro. | [.md](https://openaitools.app/tool/cloudairy.md) |

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Source: https://openaitools.app/compare/miro-vs-rerun

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