DeepSource

DeepSource is a code review and security platform for teams that want automated checks in their pull request workflow. It is strongest for teams combining code quality, security scanning, and coverage controls across major Git providers. The broad scope is useful, though the free tier’s review caps and the Team plan’s limited AI credit matter when estimating ongoing use.

Overview

Founded in 2018, DeepSource combines static analysis with an AI review agent to flag bugs, anti-patterns, and security vulnerabilities in pull requests. Its more than 5,000 deterministic rules give teams repeatable checks alongside AI review. This makes it a credible option for teams that want several review and security tasks in one workflow; it is less compelling for teams needing only a focused scanner.

Key features

Pull request review and fixes

DeepSource reviews pull requests and offers verified, pre-generated patches for many detected issues through Autofix. That can shorten the route from finding a problem to addressing it, although patches are not promised for every finding. The combination of deterministic rules and AI review gives teams more than one way to surface issues, but AI use has a cost implication: Open Source users pay as they go for AI Review and Autofix, while Team includes a defined AI Review credit.

Security and coverage

Security scanning covers exposed secrets, vulnerabilities in open-source dependencies, and infrastructure-as-code review for Terraform and CloudFormation. Coverage tracking and enforceable thresholds help teams set expectations for tested code. Taken together, these controls suit teams that want quality checks and security review alongside pull requests; teams that only need one of these functions may find the package broader than necessary.

Integrations and access

DeepSource supports GitHub, GitLab, Bitbucket, and Azure DevOps for source control, with integrations for Jira, Okta, OneLogin, Slack, and Vanta as well. Its GraphQL API allows up to 5,000 requests per hour per user. The CLI has binaries for Linux, macOS, and Windows across the documented processor architectures. The Trust Center lists SOC 2 and GDPR compliance and describes encryption, restricted production access, and penetration testing.

Pricing

Open Source

The free Open Source tier allows unlimited public repositories and team members, with 1,000 pull request reviews and 1,000 automated formatting runs each month. It is a good fit for open-source teams whose activity fits those monthly caps. Private repository access is not part of this tier, and AI Review and Autofix are pay-as-you-go, so the free price does not mean unlimited use of every feature.

Team

Team costs $24 per user/month, billed yearly. It includes unlimited repositories and pull request reviews, $100 in annual AI Review credit per user, three open-source dependency scanning targets, and priority support. Additional dependency scanning targets cost $8/month each. This is the practical choice for teams that need private repositories or have outgrown the free review quota, though AI-heavy teams may exceed the included credit.

Enterprise

Enterprise has custom pricing and includes Team features, Enterprise Cloud or self-hosted deployment, airgapped deployment, BYOK for AI Review, SSO, priority support with an SLA, a dedicated account manager, and migration assistance. It fits organizations with deployment or support requirements that call for these controls; its custom pricing means teams should weigh those needs directly against the lower tiers.

A 14-day trial is available. The Team price is stated on an annual billing basis, so it is best assessed as a yearly commitment rather than a month-to-month rate.

Platforms

DeepSource is available on the web and supports API access, Linux, macOS, Windows, and self-hosted deployment. Self-hosted and airgapped deployment are Enterprise capabilities. The documented CLI binaries cover Linux amd64 and arm64, macOS amd64 and arm64, and Windows amd64.

Who it's for

DeepSource suits development teams that want pull-request review, security checks, and coverage enforcement together, particularly those already using GitHub, GitLab, Bitbucket, or Azure DevOps. Open-source maintainers with activity below the monthly caps can start without a subscription. Teams with private repositories or unlimited review needs will need Team, while organizations requiring self-hosting, airgapping, or enterprise support should consider Enterprise. A team seeking only one narrow scanning task may prefer a more specialized tool.

Pros and cons

Pros

• More than 5,000 deterministic rules combined with AI review cover several kinds of pull-request issues.
• Security scanning spans secrets, open-source dependencies, and Terraform and CloudFormation infrastructure code.
• Coverage thresholds let teams make tested-code requirements part of review.
• The free tier permits unlimited public repositories and members, with a substantial monthly review allowance for qualifying open-source use.

Cons

• The free tier caps pull request reviews and formatting runs at 1,000 each per month.
• Open Source AI Review and Autofix are pay-as-you-go, and Team’s annual AI Review credit is limited to $100 per user.
• Team’s dependency scanning allowance covers three targets; each additional target adds $8/month.
• Enterprise pricing is custom, making costs harder to compare before discussing organizational requirements.

Alternatives

Code Quality Management Software is the wider category to compare if you want to assess tools beyond DeepSource’s combined review and scanning approach. For a more focused review-tool comparison, see AI Code Review Tools. Teams prioritizing rule-based code checks can browse Static Analysis Tools, while those chiefly looking for exposed-credential detection can compare Secrets Scanning Software.

Qlty Cloud is worth comparing for its Pro plan, which includes 20,000 analysis minutes and 5,000 AI autofixes per month for $20 a month. Qodana is another freemium option with a free Community plan and a 14-day trial. CodeScene may suit open-source projects seeking its free Community Edition, which includes automated PR reviews and hotspot reporting. Codacy offers a free Developer plan with an IDE plugin and support for 38 programming languages. GitHub Codespaces is a freemium development environment alternative. QualityGate, ReSharper, and Gitar are additional options to compare.

Verdict

Choose DeepSource if your team wants pull-request review, security scanning, and coverage controls in a single workflow, with a free path for public repositories and a clear paid step when review volume grows. Its breadth and large rule library are the main reasons to choose it. Look elsewhere if your needs are narrow, if pay-as-you-go AI costs are a poor fit, or if the Team plan’s annual billing and limited AI credit do not suit your expected usage.