DeepSource

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Introduction

DeepSource automates code reviews with what it calls hybrid static analysis and AI agents, aiming for high-signal, low false-positive findings across security, quality, complexity and coverage. It analyses every pull request and can suggest or apply fixes.

Analysers cover many languages, and the platform adds dependency scanning for open-source packages and licence issues, plus code formatting. Reports appear in pull requests and on dashboards.

In the quality loop DeepSource is a pull request gate that mixes rule-based analysis with AI review.

Features

1. Static analysis: Bugs, anti-patterns and security issues.
2. AI review: AI-assisted pull request feedback.
3. Autofix: Suggested fixes for findings.
4. Dependency scanning: Known vulnerabilities and licence compliance.
5. Coverage tracking: Report coverage in pull requests.
6. Formatting: Automated code formatting.

Pros

1. Low noise focus: The vendor emphasises low false-positive rates (vendor claim).

Cons

1. Per-seat cost: Paid plans are priced per user.
2. Hosted: Code is analysed in DeepSource’s cloud unless self-hosted enterprise.
3. Language coverage varies: Depth differs by analyser.

Usage and Links (Example)

1. Connect your Git provider and choose repositories.
2. Add a .deepsource.toml listing analysers.
3. Review findings on pull requests and enable autofix where helpful.

Resources:

• DeepSource website

Pricing

DeepSource offers a 14-day free trial with up to $50 in bundled AI Review credits and no credit card. Its pricing page lists a plan at $24 per user per month, with dependency scanning add-on targets at $8 per additional target per month, and Enterprise via sales.

Recommended for?

1. Teams wanting static analysis and AI review in one product.
2. Organisations comparing hosted alternatives to SonarQube.

Conclusion

DeepSource blends traditional analysis with AI review in a single pull request gate.

Trial it on a busy repository to judge its signal-to-noise for your code.

On CheckOps, DeepSource is filed under the Release & CI gates and Security testing stages. Related tools listed here include SonarQube, MegaLinter, Super-Linter, Qlty, Codacy and reviewdog. Before standardising on one, compare recent maintenance activity, the pricing model as your usage grows, and the integrations you rely on today. Information on this page was verified against the official website, documentation and repository on 11 November 2026.