# Orca vs Scale

Orca records 1,025,891 monthly visits with +1% month-over-month growth and Free, Open Source, Enterprise on request pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.

| Metric | [Orca](https://openaitools.app/tool/orca) | [Scale](https://openaitools.app/tool/scale) |
| :--- | :--- | :--- |
| Website URL | https://www.onorca.dev | https://scale.com |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent |
| Pricing Model | Free, Open Source, Enterprise on request | Contact for Pricing |
| Monthly Visits | 1,025,891 | 616,915 |
| MoM Growth Rate | +1% | +12.5% |
| Primary Market | United States | United States |
| Direct Visits | 344,591 | 191,408 |
| Review Score | 4.6 | 4.7 |
| Saved Count | 1 | 3 |
| Supported Platforms | Website | Website |

## Orca

Orca positions itself as an "agent IDE" rather than a classic code editor. The core idea is that IDEs were designed around a single human editor, while AI-era workflows revolve around many agents working at the same time. Orca therefore organises work into projects, workspaces and worktrees: each task gets an isolated environment, and any agent CLI can be pointed at it.

The app bundles the pieces developers normally stitch together by hand — chat or terminal interfaces, a built-in browser with a design-inspection mode, split panes for diffs and files, a notes/editor surface and Git integration. A command-line interface mirrors the GUI, so agents themselves can create worktrees, start workers, drive the browser and schedule automations through Orca's own CLI.

Orca is cross-platform (macOS, Windows, Linux) with companion iOS and Android apps that notify you when an agent needs input so you can reply from your phone. It is distributed as free open-source software, and the project also offers a documented enterprise track and a plugin system for extending the environment.

**Pricing & Plans:** Orca is free and open source; the download and core product require no payment. A separate Enterprise offering is available, priced by contacting the team. The site does not publish a public price list for enterprise plans.

- **Parallel worktrees:** Each agent gets its own isolated Git worktree, so multiple agents can edit, test and build concurrently without conflicts.
- **Bring your own agent CLI:** Works with Claude Code, Codex, Gemini, Cursor CLI, OpenCode, Copilot, Cline and many other command-line agents using subscriptions you already have.
- **Integrated browser and design mode:** A built-in browser lets you click any element to copy its HTML, styles and selector, or screenshot a page and drop that context straight into an agent prompt.
- **Terminal, diffs and split panes:** Review AI output, run commands and arrange terminals, browsers, files and diffs in panes shaped to the task at hand.
- **CLI, plugins and mobile companion:** Orca's own CLI lets agents automate worktrees and workers, a plugin system extends the app, and iOS/Android apps keep you in the loop remotely.

**Strengths:** Free and open source, with no licence cost for the core product; Genuinely parallel workflow thanks to per-task Git worktrees; Vendor-neutral: works with many agent CLIs instead of locking you to one; Cross-platform with iOS and Android companion apps and an extensible plugin system

**Limitations:** Not a traditional IDE, so developers wanting a full editor experience may need a second tool; Newer product with fast-moving releases, which can mean occasional rough edges; Enterprise pricing is only available on request, so costs are not transparent up front

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

## Scale

Scale positions itself as the infrastructure layer for reliable AI - the data, evaluations and deployment support that sit underneath working systems rather than a single consumer-facing model. Founded in 2016, it built its reputation supplying training data and labelling capacity to the autonomous vehicle and then the generative AI wave, and now describes itself as powering a large share of the world's leading generative AI model builders.

The offering spans three broad areas. Data covers sourcing and expert annotation for training and fine-tuning, including RLHF-style preference data. Evaluation covers public leaderboards and private benchmarks used to measure model capability and safety. Applications covers the build-and-deploy side: identifying a viable use case, constructing the system and owning the outcome, with agentic AI for enterprise operations.

Scale's customer list leans heavily enterprise and public sector, including large technology companies, healthcare providers, media organisations, energy companies and government defence programmes. Because engagements are scoped rather than self-serve, pricing is arranged through a sales process, and the platform is aimed at organisations with serious data volume, strict compliance needs and a mandate to put AI into production.

**Pricing & Plans:** Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

- **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
- **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
- **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
- **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
- **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in.

**Strengths:** Backed by a long track record in training data and model evaluation.; End-to-end coverage from data sourcing through to deployed systems.; Experienced with regulated, classified and safety-critical environments.; Benchmarks and leaderboards give an independent view of model capability.

**Limitations:** No public pricing or self-serve signup - you need a sales conversation to get started.; Enterprise-scale contracting and data operations require real internal commitment.; Overkill for small teams with modest data or evaluation needs.; Some projects involve sensitive government and defence work with strict compliance overhead.

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

## Frequently Asked Questions

### How do Orca and Scale compare in monthly traffic?

Orca has 1,025,891 monthly visits, while Scale has 616,915. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Orca has a month-over-month growth rate of +1%; Scale has +12.5%.

### How does pricing compare?

Orca: Free, Open Source, Enterprise on request. Orca is free and open source; the download and core product require no payment. A separate Enterprise offering is available, priced by contacting the team. The site does not publish a public price list for enterprise plans. Scale: Contact for Pricing. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | An AI-native code editor optimized for multi-file generation rather than managing multiple parallel terminal agent worktrees. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides an extensive platform and desktop command center for parallel AI coding agents, but with a heavier proprietary footprint. | [.md](https://openaitools.app/tool/google-antigravity.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 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks. | [.md](https://openaitools.app/tool/roboflow.md) |
| 5 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business. | [.md](https://openaitools.app/tool/labelbox.md) |
| 6 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE that handles full-project coding tasks, but lacks Orca's multi-agent parallel git worktree orchestration. | [.md](https://openaitools.app/tool/trae.md) |
| 7 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 8 | [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) |
| 9 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/tool/arize-com.md) |
| 10 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads. | [.md](https://openaitools.app/tool/encord-com.md) |

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Source: https://openaitools.app/compare/orca-vs-scale

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