DeepSource vs terraform-compliance

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.

terraform-compliance is a free, open-source framework for security and compliance testing of Terraform infrastructure as code. It checks Terraform plan or state output against policies written as behavior-driven feature files, and it can read plan output converted to JSON. Given steps establish context, When steps filter it, and Then steps fail scenarios when conditions are unmet. The project says it works with any Terraform provider and supports Terraform versions newer than 0.12. Checks can run before deployment, in pipelines, or through git hooks. Feature files may come from a local directory or Git repository, with SSH authentication for private repositories. Installation is documented through pip, requiring Python 3.x, or Docker. CI/CD examples cover CircleCI and GitHub Actions. Controls include warning-only failures, skipped-step failures, case-sensitive matching, and resource exclusion. The tool supports policy testing, admission control, and policy reporting, but not runtime enforcement. Its MIT license permits free use.