DeepSource vs PMD

DeepSource is an AI code review platform for teams writing code with AI. It reviews pull requests through static analysis and an AI review agent, looking for bugs, anti-patterns, and security vulnerabilities. The review process uses more than 5,000 deterministic rules, while Autofix can provide verified, pre-generated patches for many detected issues. Other checks include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code review for Terraform and CloudFormation. Teams can track code coverage and set thresholds for tested code. Supported version-control systems include GitHub, GitLab, Bitbucket, and Azure DevOps; listed integrations also include Jira, Okta, OneLogin, Slack, and Vanta. The service is available through web, API, Linux, macOS, Windows, and self-hosted deployment. Its GraphQL API has a documented limit of 5,000 requests per hour per user. The Open Source tier costs nothing and includes unlimited public repositories and members, plus monthly limits for reviews and formatting runs. Team costs $24 a year, billed yearly, with a stated rate of $24 per user per month. A 14-day trial is available. Enterprise uses custom pricing and offers cloud or self-hosted deployment, among other listed features.

PMD is a free, extensible static code analyzer that checks source code for programming flaws such as unused variables, empty catch blocks, and unnecessary object creation. It includes more than 400 built-in rules, and teams can write custom rules in Java or XPath. Its bundled CPD tool finds duplicated code across many programming languages. PMD checks source directories from the command line and can run as a Maven, Ant, Gradle, or bld build operation. Supported languages include Java, JavaScript, Salesforce Apex and Visualforce, Kotlin, Swift, Modelica, PL/SQL, Apache Velocity, JSP, WSDL, Maven POM, HTML, XML, and XSL; Scala is supported without Scala rules. It runs on Linux, macOS, and Windows and requires Java 8 or above. For CI, its GitHub Action can create SARIF reports and fail builds based on violation counts; documentation also covers GitLab, Jenkins, and Bamboo integrations. IDE integrations include Eclipse, IntelliJ IDEA, and Visual Studio Code, though some listed plugins are not actively maintained. Only the latest major version is actively developed.