DeepSource

Freemium

By AI Bookmarks Editorial Team, Directory editors Last reviewed 2026-10-23

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Automated code review that comments on pull requests for bugs, security issues and coverage, with a free tier.

Quick facts

Pricing	Freemium
Free tier	Yes — free for public repositories and small private projects
Platforms	Web, CLI
Developer	DeepSource
Website	https://deepsource.io

What DeepSource is

DeepSource is an automated code review tool. It connects to a repository and analyses every pull request for bugs, security issues, anti-patterns and test coverage, commenting inline the way a reviewer would. Beyond static analysis it tracks code health over time, flags issues that are getting worse and can block merges on selected rules. The AI layer explains findings in plain language and proposes fixes. It supports the common languages, integrates with GitHub, GitLab and Bitbucket, and runs in CI. The limits are that rules need tuning — default configurations produce noise on mature codebases — and it analyses code rather than runtime behaviour, so it will not catch logic that is wrong but syntactically clean. Autofix suggestions can be applied in the pull request, which reduces the round trip for trivial issues. Test coverage analysis shows which lines a change leaves untested, rather than only a headline percentage.

Best for

Teams that want consistent review on every pull request
Catching security patterns before merge
Tracking code health trends across a repository

Not ideal for

Runtime bugs and performance problems
Teams unwilling to tune rules after the first week

Pros

Inline comments fit the existing review flow
Code health trends show whether quality is slipping
Free tier covers public repositories

Cons

Default rules are noisy on mature code
Static analysis cannot catch all logic errors
Useful configuration takes time to settle

Pricing in detail

The free tier covers public repositories and small private projects with limited analysis. Paid plans are billed per contributor per month and add private repositories, more frequent analysis, longer history and advanced security rules; enterprise terms are quoted. Because the meter is contributors rather than lines of code, cost is predictable as a repository grows, but every developer who commits counts.