DeepSource

DeepSource brings automated code review, security checks and coverage tracking into teams’ pull-request workflow. It is strongest for teams that want these checks together across their code-hosting services, rather than a single-purpose analyzer. The main trade-off is that the free tier caps review volume, while Team’s AI Review credit is limited.

Overview

Founded in 2018, DeepSource combines static analysis with an AI review agent to flag bugs, anti-patterns and security vulnerabilities in pull requests. More than 5,000 deterministic rules provide a consistent base of checks alongside the AI review. That breadth can suit teams consolidating code-quality and security checks in one workflow; it is less compelling if the need is only a narrow scanning tool.

Key features

Pull request review and Autofix

DeepSource reviews pull requests and offers verified, pre-generated Autofix patches for many detected issues. Suggested patches can reduce the work between finding and fixing a problem, but coverage is not universal. AI Review and Autofix are pay-as-you-go on Open Source; Team includes $100 annual AI Review credit per user, so frequent AI use may bring additional costs.

Security and coverage

Security checks cover secrets, vulnerable open-source dependencies, and infrastructure-as-code for Terraform and CloudFormation. Coverage tracking and enforceable thresholds let teams set expectations for tested code. Together, these checks make DeepSource broader than a pull-request linter, though teams should weigh that breadth against the narrower needs of a focused scanner.

Integrations, API and deployment

DeepSource integrates with GitHub, GitLab, Bitbucket and Azure DevOps, as well as Jira, Slack, Okta, OneLogin and Vanta. Its GraphQL API allows up to 5,000 requests per hour per user. The Trust Center lists SOC 2 and GDPR compliance and describes encryption, restricted production access and penetration testing. Enterprise adds a choice of cloud or self-hosted deployment, with airgapped deployment also offered, plus SSO and BYOK for AI Review.

DeepSource CLI binaries are documented for Linux amd64 and arm64, macOS amd64 and arm64, and Windows amd64. The platform supports API, Linux, macOS, self-hosted, web and Windows environments.

Pricing

DeepSource is freemium, with a 14-day trial and paid plans from $24/user/mo (annual).

Open Source

The Open Source plan costs nothing. It includes unlimited public repositories and team members, plus 1,000 pull request reviews and 1,000 automated formatting runs per month. AI Review and Autofix are pay-as-you-go. This is a workable starting point for public projects that fit within the monthly caps, but the review allowance can constrain busier teams, and AI use is not included in the free price.

Team

Team costs $24 a year (billed yearly; $24 per user/month). It includes unlimited repositories and pull request reviews, $100 annual AI Review credit per user, three open-source dependency scanning targets, and priority support. Additional targets cost $8/month each. The plan suits teams that need uncapped reviews and paid support, but its AI credit and included scanning targets remain finite.

Enterprise

Enterprise has custom pricing. It includes Team features, Enterprise Cloud or self-hosted deployment, BYOK for AI Review, SSO, priority support with an SLA, a dedicated account manager and migration assistance. It is aimed at organizations that need deployment choice, identity controls or contracted support rather than a published per-user rate.

Platforms

DeepSource supports API, Linux, macOS, self-hosted, web and Windows environments. Its documented CLI binaries cover Linux amd64 and arm64, macOS amd64 and arm64, and Windows amd64.

Who it's for

DeepSource is a strong fit for software teams using GitHub, GitLab, Bitbucket or Azure DevOps that want automated pull-request review alongside security scans and coverage thresholds. Public projects with modest review volume can start on Open Source. Teams that need unlimited reviews should consider Team and budget for AI use beyond its credit; organizations needing self-hosting, airgapped deployment or an SLA have a clearer case for Enterprise. A team seeking only one specialized analyzer may not need the broader platform.

Pros and cons

• Pro: More than 5,000 deterministic rules paired with AI review provide two approaches to pull-request checks.
• Pro: Secrets, dependency and Terraform or CloudFormation scanning sit alongside coverage tracking, reducing the need to separate these checks across tools.
• Pro: The free plan allows unlimited public repositories and members, useful for open-source projects within its monthly quotas.
• Con: Open Source caps pull-request reviews and formatting runs at 1,000 each per month, which may not suit higher-volume projects.
• Con: AI Review and Autofix are pay-as-you-go on Open Source, and Team’s AI Review credit is $100 per user annually.
• Con: Team is billed yearly, and dependency scanning beyond its three included targets costs $8/month per additional target.

Alternatives

For a wider comparison, browse Static Analysis Tools, Code Quality Management Software, AI Code Review Tools and Secrets Scanning Software.

• MATLAB Grader is a free option for MATLAB users with a current maintenance license; LMS integration requires a qualifying academic license.
• Infer is a free static analyzer for supported programming languages, available as a binary, source build or Docker image.
• PMD is a free, BSD-style downloadable static code analyzer for teams seeking a standalone tool.
• Qodana offers a free Community plan with one team, 30 days of detailed historical data and unlimited lines of code and projects.
• Semgrep Code has a free edition covering code and supply chain for up to 10 repositories and 10 contributors, with 60 AI credits.
• Snyk Open Source is a freemium alternative whose free tier covers five projects with access to Snyk Open Source (SCA).
• Clang Static Analyzer is a free, open-source analyzer for C, C++ and Objective-C.
• CodeScene offers a free Community Edition for open-source projects, including automated PR reviews, hotspots, knowledge distribution and PDF reports.

Verdict

Choose DeepSource if your team wants pull-request review, security scanning and coverage controls in one workflow, with a free path for public projects and unlimited reviews on Team. Look elsewhere if your review volume exceeds the free allowance but annual Team billing or additional AI and scanning costs do not fit, or if you need only a focused analyzer.