DeepSource

DeepSource is a code quality and security platform with 20+ analyzers covering SAST, SCA, secrets detection, and code coverage. It integrates natively with GitHub, GitLab, Bitbucket, and Azure DevOps to analyze every commit and pull request without CI configuration.

Founded in 2018 in San Francisco, DeepSource is used by 6,000+ companies including NASA, Ancestry, and Babbel. The platform is SOC 2 Type II certified. Backed by Y Combinator and 645 Ventures.

What is DeepSource?

DeepSource runs static analysis on every commit and pull request. It scans for security vulnerabilities, code quality issues, duplicated code, and hardcoded secrets. The platform also provides SCA for dependency vulnerabilities and code coverage tracking.

The standout feature is Autofix AI, which generates fixes for detected issues using LLMs. The legacy deterministic Autofix handled about 30% of issues. Autofix AI expands that to nearly all issues by analyzing surrounding context, imports, and project patterns.

Key features

Security analysis

DeepSource detects security vulnerabilities across its supported languages. The SCA module scans dependencies for known vulnerabilities using reachability analysis to determine whether your code actually calls the vulnerable function.

For JavaScript and Python, SCA includes full reachability analysis and automated remediation. For Go, Rust, Java, C#, PHP, Ruby, and Kotlin, it provides vulnerability scanning.

Secrets detection

The secrets analyzer uses a two-stage approach: fast pattern matching identifies potential secrets, then AI-powered classification distinguishes real credentials from false positives. DeepSource reports 97% precision, 96.3% recall, and a 93% reduction in false positives compared to pattern-only detection. The classification is powered by Narada, an open-source secrets classification model.

Code quality and coverage

The platform tracks code complexity, duplication, and style violations. Code coverage integration supports Go, Rust, Java, Scala, C#, JavaScript, PHP, Python, Ruby, C/C++, Swift, and Kotlin. 17+ code formatters (Black, Prettier, Rustfmt, RuboCop, etc.) can auto-format code.

Configuration

DeepSource uses a .deepsource.toml configuration file in the repository root:

version = 1

[[analyzers]]
name = "python"
enabled = true

  [analyzers.meta]
  runtime_version = "3.x.x"

[[analyzers]]
name = "secrets"
enabled = true

Integrations

Git Platforms

GitHub

GitLab

Bitbucket Cloud

Bitbucket Data Center

Azure DevOps

Workflow

Slack

Jira Cloud

Vanta

Getting started

Pricing

SCA is priced separately at $8/target/month (annual). Annual billing saves 20%.

When to use DeepSource

DeepSource works well for teams that want quick setup with no CI configuration overhead. The native Git platform integration means analysis starts within minutes. Autofix AI is the main differentiator — instead of just flagging issues, it generates fixes that developers can review and merge.

Teams with strict compliance requirements may need to supplement DeepSource with additional tools, since its focus is developer experience over comprehensive vulnerability catalogs. Self-hosted deployment is available on the Enterprise plan for organizations that need on-premises control.

Reed Wilson, Engineering Manager at Ancestry, states: “With DeepSource’s pull request analysis workflow, everything is integrated — right at the point of merge, and this has been a game changer for us.”

Frequently Asked Questions