CodART vs Sourcery
CodART
github.comSourcery
sourcery.aiSide by side
| Figure | CodART | Sourcery |
|---|---|---|
| Price from | Free | $12/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Code Refactoring Tools | 8.0 (#8) | 8.6 (#3) |
| Deployment | The repository provides Docker Compose instructions for running its services locally. | cloud, self hosted, desktop |
| Support | The repository invites questions by email at [email protected] and welcomes project contributions and discussion comments. | Support is offered through in-app chat and email, with documentation covering setup, reviews, scanning, IDEs, administration, API, and compliance. |
Plans
In their own words
CodART
CodART is a toolkit for automated refactoring and multi-objective optimization of Java source code. It documents 47 refactoring operations, including Extract Class, Move Method, and Encapsulate Field, and supports project-level and batch work. Its optimization uses NSGA-II and NSGA-III across eight QMOOD quality metrics. The toolkit also includes PPO-based generation of refactoring sequences and models that predict testability from source code metrics. PMD integration with custom rulesets supports code smell detection, while SciTools Understand handles code parsing and metric computation. The documented interfaces are a React web interface and a FastAPI REST API, and Docker Compose instructions explain how to run the services locally. CodART is free under an MIT License, which permits use, copying, modification, distribution, sublicensing, and sale subject to its conditions. The setup requires a separate SciTools Understand professional license; academic licenses are available for research purposes. The quick-start calls for at least 8 GB RAM and 4 CPU cores, with 12 GB or more recommended for large projects. Java is its listed supported language.
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.