Sourcery vs Squire
Sourcery
sourcery.aiSquire
squire.aiSide by side
| Figure | Sourcery | Squire |
|---|---|---|
| Price from | $12/mo | $20/mo |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 4 | 2 |
| Spec score · AI Code Review Tools | 8.7 (#9) | 6.9 (#39) |
| Spec score · Code review software | 8.7 (#10) | 6.9 (#47) |
| Spec score · Pull Request Automation Tools | 8.7 (#8) | 6.9 (#22) |
| Compliance | The company states that Sourcery is SOC 2 Type II compliant. | Squire says it completed SOC 2 Type I and Type II examinations. |
| Support | Support is offered through in-app chat and email, with documentation covering setup, reviews, scanning, IDEs, administration, API, and compliance. | The site offers a “Book a demo” option and a contact-sales link. |
Plans
In their own words
Sourcery
Sourcery reviews pull requests with AI, returning a summary, review comments and suggested fixes within minutes. Users can apply a suggestion as a change and commit it to the pull request. Security checks cover committed secrets, static-analysis vulnerabilities, infrastructure-as-code misconfigurations, dependencies and licenses. The extension works in VS Code, Cursor, Windsurf and JetBrains editors, and Sourcery supports GitHub, GitLab, GitHub Enterprise Server and self-hosted GitLab. Open Source checks security on every pull request; Open Source and Pro also scan twice a week, while Team includes nightly scans. The public REST API, for listing, reading, counting and bulk-updating security findings and groups, is a Team feature. Open Source is free; Pro is $12 a month billed annually, or $15 per developer per month billed monthly. Team is $24 a month billed annually, or $30 per developer per month billed monthly. A 14-day Team-feature trial is available organization-wide after installation, without a credit card. Sourcery says it does not retain customer code after reviews or use it to train models.