DeepSource vs Qlty Cloud

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.

Qlty Cloud analyzes code quality and coverage, then gives feedback on pull requests. Its automated reviews can return quality feedback and pass-fail statuses, with customizable analysis and triage rules. Analysis covers linting, defects, formatting, duplication, security, and complexity. Coverage features include gates, diff coverage, comments on GitHub pull requests, and separate tags for unit and integration suites. Qlty integrates with GitHub through a GitHub App and supports GitHub Actions and CircleCI Orb for coverage workflows. It advertises more than 70 linters, formatters, and security analyzers, and says cloud analysis requires no CI setup. The free plan includes 1,000 analysis minutes and 100 AI autofixes per month, with unlimited contributors and repositories. Pro costs $20 a month and includes 20,000 analysis minutes and 5,000 AI autofixes per month. Qlty says AI explanations and fixes for business services require opt-in, and that it does not store repository clones. Analysis runs in sandboxed AWS Fargate containers that are destroyed afterward.