DeepSource vs Gitleaks

DeepSource is an AI code review platform for teams writing code with AI. It reviews pull requests through static analysis and an AI review agent, looking for bugs, anti-patterns, and security vulnerabilities. The review process uses more than 5,000 deterministic rules, while Autofix can provide verified, pre-generated patches for many detected issues. Other checks include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code review for Terraform and CloudFormation. Teams can track code coverage and set thresholds for tested code. Supported version-control systems include GitHub, GitLab, Bitbucket, and Azure DevOps; listed integrations also include Jira, Okta, OneLogin, Slack, and Vanta. The service is available through web, API, Linux, macOS, Windows, and self-hosted deployment. Its GraphQL API has a documented limit of 5,000 requests per hour per user. The Open Source tier costs nothing and includes unlimited public repositories and members, plus monthly limits for reviews and formatting runs. Team costs $24 a year, billed yearly, with a stated rate of $24 per user per month. A 14-day trial is available. Enterprise uses custom pricing and offers cloud or self-hosted deployment, among other listed features.

Gitleaks is free, MIT-licensed software that detects secrets such as passwords, API keys, and tokens in Git repositories, files, and standard input. It runs on Linux, macOS, Windows, and self-hosted systems. Scans can target repositories, directories, individual files, or streamed data. Custom rules can use Go regular expressions, entropy checks, path matching, keywords, and allowlists. A previous report can serve as a baseline so later scans show only new findings. Output is available in JSON, CSV, JUnit, SARIF, or template formats. The project documents pre-commit hook and GitHub Action use, plus CI/CD, pull-request, and supported VCS workflows for GitHub, GitLab, Azure DevOps, Gitea, and Bitbucket. Installation options include Homebrew, Docker, Go, and prebuilt release binaries. A redaction option masks secrets in logs and standard output, with a default redaction value of 100%. The project describes itself as feature complete, with future releases limited to security patches, and its security policy supports only the latest version.