DeepSource is an automated code health, static analysis, and code security platform from DeepSource Inc. It connects to version control systems such as GitHub, GitLab, and Bitbucket to scan code during pull requests and commits.
The tool targets a common problem in engineering teams: manual peer reviews are time consuming and often miss security flaws, leaked secrets, or minor style issues. DeepSource automates these checks inside pull requests, letting reviewers focus on architecture and logic instead of routine flagging.
When a developer pushes a commit or opens a pull request, DeepSource runs isolated analysis jobs across several engines, including Static Application Security Testing, Software Composition Analysis, Infrastructure as Code security, and language specific quality checks. Results appear as inline annotations directly on the pull request.
A distinguishing feature is Autofix, which generates code patches and opens pull requests to resolve detected issues instead of only producing a report. DeepSource also emphasizes a low false positive rate and a setup process that requires little ongoing configuration once analyzers are enabled.
Pricing
DeepSource offers a free Open Source plan for public repositories with unlimited team members and 1,000 pull request reviews per month. The Team plan costs $24 per user per month billed yearly, and includes unlimited private repositories, unlimited pull request reviews, and a $100 annual AI Review credit per user, after which AI Review and Autofix are billed at $8 per 10,000 lines of code for standard review or $15 per 10,000 lines for advanced review. OSS Dependency Scanning includes 3 targets with the Team plan, and additional targets cost $8 per month each. Enterprise pricing is custom and adds self-hosted deployment, single sign-on, and the option to bring your own AI Review API keys; a 14-day free trial with up to $50 in bundled AI Review credits is available on the Team plan.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Static Application Security Testing detects OWASP Top 10 vulnerabilities
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Software Composition Analysis flags vulnerable open-source dependencies
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Infrastructure as Code scanning for Terraform, Docker, and Kubernetes
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Autofix generates pull requests that patch detected issues
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Secret detection scans for exposed API keys and tokens
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Custom quality gates block merges that fail defined criteria
Use Cases
Automating Pull Request Reviews
DeepSource runs security and quality checks on every pull request automatically. Senior engineers spend less time on style comments and more time on architectural review.
Preventing Secret Leaks
Security teams use the secret detection engine to scan commits continuously. It flags accidentally committed credentials before they reach remote branches.
Securing Infrastructure as Code
Cloud engineers scan Dockerfiles, Terraform scripts, and Kubernetes manifests before deployment. DeepSource catches misconfigurations such as containers running as root.
Tracking Dependency Vulnerabilities
Teams track external libraries for known CVEs through Software Composition Analysis. DeepSource alerts developers when a vulnerable dependency is introduced and suggests a safe version.
Standardizing Multi-Repo Coding Standards
Engineering leaders deploy DeepSource across many microservice repositories. This enforces consistent coding guidelines and quality gates across multi-language teams.
Strengths & Weaknesses
Strengths
Autofix opens pull requests to fix issues rather than only reporting them.
Combines SAST, SCA, IaC security, and code quality monitoring in one dashboard.
Integrates directly into GitHub, GitLab, and Bitbucket pull request workflows.
Offers self-hosted Enterprise deployment for data sovereignty requirements.
Tunes analysis engines per language to keep false positive rates low.
Weaknesses
AI Review and Autofix usage beyond the included credit is billed per 10,000 lines of code, which can add unpredictable cost.
The free Open Source plan does not include private repository analysis.
Analyzer depth varies by language, with niche languages covered less thoroughly than Python or Go.
Rule customization relies on a .deepsource.toml config file rather than an interactive builder.
Who Is This For?
Software Engineering Teams: Automates routine pull request checks and shortens code review turnaround.
DevSecOps and Security Engineers: Embeds SAST, secret scanning, and IaC checks into workflows without blocking CI pipelines.
Open-Source Maintainers: Access free automated analysis to evaluate external contributions on public repositories.
Enterprise Tech Organizations: Need centralized code governance, self-hosted deployment, and single sign-on across large developer bases.
Frequently Asked Questions
How much does DeepSource cost per user?
The Team plan costs $24 per user per month billed yearly. A free Open Source plan and custom Enterprise pricing are also available.
Does DeepSource store source code on its servers?
Cloud users have repositories cloned temporarily into isolated sandboxes during analysis, then deleted afterward. Enterprise customers can self-host so code stays on their own infrastructure.
What programming languages does DeepSource support?
Supported languages include Python, JavaScript, TypeScript, Go, Java, Ruby, C, C++, C#, PHP, Rust, Swift, and Scala, plus IaC formats like Terraform and Dockerfiles.
How are AI Review and Autofix priced?
Team plan users get a $100 annual AI Review credit per seat. Usage beyond that is billed at $8 per 10,000 lines of code for standard review or $15 per 10,000 lines for advanced review.
Can DeepSource block a pull request from merging?
Yes. DeepSource integrates with branch protection rules on GitHub, GitLab, and Bitbucket to block merges that fail quality gates or introduce high severity issues.
How does DeepSource handle false positives?
Users can suppress findings from the dashboard, add inline comment suppressions such as skipcq, or adjust the .deepsource.toml configuration file.
Is there a free trial for paid plans?
Yes. The Team plan includes a 14-day free trial with up to $50 in bundled AI Review credits and no credit card required.
What does the OSS Dependency Scanning limit mean?
The Team plan includes 3 scanning targets for open-source dependency checks. Additional targets cost $8 per month each.
Is DeepSource suitable for teams with strict data residency needs?
Enterprise plans support self-hosted and Enterprise Cloud deployment, along with bringing your own AI Review API keys so inference can run on private infrastructure.
What is the learning curve for setting up DeepSource?
Setup involves authorizing a VCS account, selecting repositories, and adding a .deepsource.toml file to specify analyzers, which is a config-file driven process rather than a guided wizard.
DeepSource integrates with GitHub and GitHub Enterprise, GitLab and GitLab Self-Managed, and Bitbucket Cloud and Data Center for repository scanning and pull request feedback. It also connects to Slack for real-time alerts and Jira to convert flagged issues into tasks. Docker, Kubernetes, and Terraform configuration files are supported through its Infrastructure as Code analysis engines.