Qlty Cloud analyzes code for quality issues and coverage, then reports feedback on pull requests. Automated reviews can provide quality feedback and pass-fail statuses, with customizable analysis and triage rules. Its analysis covers linting, defects, formatting, duplication, security, and complexity. Coverage tools include gates, diff coverage, GitHub pull-request comments, 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 needs no CI setup. The Free plan lists 1,000 analysis minutes and 100 AI autofixes per month, with unlimited contributors and repositories. Pro costs 20.00 USD per month and includes 20,000 analysis minutes and 5,000 AI autofixes per month. Qlty says it does not store clones of analyzed repositories, encrypts data in transit and at rest, and runs each analysis in a temporary sandboxed AWS Fargate container. It is a cloud service.
Who it is for
Qlty Cloud suits development teams that want pull-request quality feedback and coverage checks. Its free plan includes unlimited contributors and repositories, subject to monthly analysis and autofix limits.
What is good
- Pull-request reviews include pass-fail statuses.
- Coverage gates and diff coverage are supported.
- More than 70 analysis plugins are advertised.
- Cloud analysis requires no CI setup.
- Repository clones are not stored.
What to know first
- Free plan includes 1,000 analysis minutes monthly.
- Free plan includes 100 AI autofixes monthly.
- Free-plan support is best-effort through Discord and GitHub.
Verdict
Qlty Cloud combines code analysis, pull-request feedback, and coverage workflows. Compare the monthly analysis and autofix allowances with your team's usage before choosing a plan.
Qlty Cloud plans and pricing
All plansCompared on code quality management software
- Free plan
- Yes
- Quality gates
- Yes
- Technical debt tracking
- Yes
- Remediation workflows
- Yes
- Deployment model
- cloud
- Pull request analysis
- Yes
- Supported languages
- C / C++, C#, Go, Java, JavaScript, Kotlin, PHP, Python, Ruby, Rust, Swift, TypeScript, Terraform, CloudFormation, Kubernetes, Docker, Shell, GitHub Actions workflows, CSS, GraphQL, HTML, JSON, Markdown, Prisma, SASS, SCSS, SQL, YAML
