Codacy vs DeepSource: Features, Pricing and User Reviews 2026

Codacy is a platform that helps engineering teams check their code for quality and security problems. It scans code for bugs, security risks, and messy patterns, then gives clear feedback so developers can fix issues early.

As more teams use AI tools to write code, Codacy also watches over AI generated code. It checks code coming from tools like Copilot or Claude Code and blocks risky changes before they cause problems.

The platform works inside your code editor, your pull requests, and your build pipeline, so checks happen automatically at every stage.

Codacy offers a free plan for individual developers, and paid plans for teams and larger companies that need more control and reporting.

DeepSource is a platform that reviews your code and helps you fix problems before they cause trouble. It checks every pull request against thousands of rules, then uses an AI agent to catch things that plain rules might miss.

Along with reviewing code, it looks for security bugs, exposed secrets, risky dependencies, and missing test coverage. When it finds a problem, it can suggest or even apply a fix automatically through a feature called Autofix.

DeepSource works with GitHub, GitLab, Bitbucket, and Azure DevOps, and connects to tools like Slack and Jira. It also has an MCP server so AI coding tools such as Claude Code and Cursor can read its reports and fix issues on their own.

There is a free plan for open source projects, a Team plan for paid usage, and a custom Enterprise plan with self hosted options for larger companies.