jSparrow vs Sourcery

jSparrow is a Java cleanup and refactoring tool for Eclipse IDE and Maven, running on Linux, macOS and Windows. It lists more than 90 refactorings for Java 1.1 and later, with project-level and batch operation. Diff View compares original and proposed code so changes can be reviewed before application. Markers suggest quick fixes during programming, and the base product includes them at no charge. Interactive rules can replace standard output with logging, rename fields to Java naming conventions and remove unused methods, fields and types. Analysis and refactoring run offline, and the FAQ says code is not sent to external servers or third parties. Internet access is required to persist locked refactorings through the NetLicensing API; offline validation servers are available. The site describes jSparrow as open-source, with no license needed since version 4.20.0. Twenty rules are free; paid licenses are $169 a month or $1,325 a year.

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.