Trunk vs Codecov
Trunk’s Flaky Tests is a comprehensive platform designed to detect, analyze, and manage flaky tests within your CI/CD pipeline.
Tired of clicking re-run? They were too.
Features
Notifications (GitHub, Slack, Email, etc.)
Test Framework and CI Provider Agnostic
Test Quarantining
Auto Detection
Comprehensive Dashboard
Integrated Ticketing
Detailed Failure Analysis
"Trunk's Flaky Test solution is so far the best one we've worked with, and we look forward to continuing to work with it."
"I primarily focused on the flaky tests tab and found all the information I sought. The app provided an excellent summary of our E2E pain points."
Security Overview
Your code is your IP, that’s why security and privacy are core to our design. We minimize data collection, storage, and access whenever possible. We operate using the principle of least privilege at all levels of our product and processes.
FAQs
What features does Codecov provide for flaky test detection and management?
Codecov primarily focuses on code coverage analytics, offering basic flaky test detection as part of its newer Test Analytics feature set. This includes identifying tests that pass and fail intermittently across different runs and visualizing them in the dashboard. However, Codecov's approach to flaky test management is more limited compared to dedicated solutions. Unlike Trunk, which offers comprehensive flaky test detection with automatic quarantining capabilities, Codecov helps identify flaky tests but lacks robust management tools. Users typically need to take manual action after detection, as Codecov doesn't include test quarantining to prevent CI pipeline failures.
How does Trunk Flaky Tests differ from Codecov in handling flaky tests?
The key difference lies in their fundamental approach and specialization. Trunk Flaky Tests was built specifically to address the challenges of flaky tests with features like automatic detection, quarantining, and ticketing integration. When a test is identified as flaky, Trunk can automatically quarantine it through test quarantining, preventing CI pipeline disruptions while maintaining visibility. Codecov, primarily a code coverage tool, offers flaky test detection as a secondary feature without the depth of management capabilities. If you're struggling with flaky tests breaking your builds and slowing down development, Trunk provides more specialized tools to solve these problems while maintaining pipeline health.
What are the strategies offered by Codecov to address flaky tests?
Codecov's approach to flaky tests centers around detection and visibility rather than active management. It identifies potentially flaky tests by tracking inconsistent results across runs and displays this information in its dashboard. Codecov relies on the team's manual intervention to address these tests - there's no built-in quarantining or ticketing functionality. While Codecov excels at showing where coverage issues exist, including potentially flaky areas, it doesn't provide the complete toolkit for managing these tests that specialized solutions like Trunk offer. If you're using Codecov and facing flaky test issues, you'll likely need additional tools or processes for test isolation and management.
How does Trunk Flaky Tests identify and display information about flaky tests?
Trunk Flaky Tests uses sophisticated detection algorithms that analyze test behavior across multiple runs to accurately identify flakiness. When a test is flagged as flaky, Trunk provides comprehensive insights, including failure frequencies, patterns, and detailed logs. This information is presented in an intuitive dashboard that highlights problematic tests and their impact on your CI pipeline. Trunk also integrates directly into your workflow with GitHub pull request comments, giving developers immediate context about flaky tests right where they're working. Beyond just identification, Trunk's approach focuses on actionability – showing exactly what's happening and providing tools to automatically quarantine and track issues until resolution.
What integrations does Codecov offer with GitHub for managing flaky tests?
Codecov's GitHub integration focuses primarily on code coverage reporting in pull requests rather than flaky test management. While it can flag coverage changes and test failures in PRs, its capability to specifically highlight and manage flaky tests within GitHub is limited. Codecov displays test status and coverage metrics in GitHub checks, but doesn't offer the depth of flaky test annotations and management that specialized tools provide. In contrast, Trunk provides comprehensive GitHub pull request comments that explicitly identify flaky tests, their history, and quarantine status directly in PRs, giving developers immediate context without leaving their workflow.
How can Codecov's Test Analytics improve handling flaky tests?
Codecov's Test Analytics offers basic insights into test performance, including identifying potentially flaky tests by tracking inconsistent results. The platform visualizes test execution times and failure rates, helping teams spot problematic patterns. While these analytics provide visibility, they're more focused on retrospective analysis than active management. Codecov helps you see which tests are flaky but doesn't provide built-in mechanisms to prevent these tests from disrupting your CI pipeline. For teams dealing with persistent flaky test issues, these analytics serve as a starting point for identifying problems, though you'll likely need additional tools or processes to effectively manage and remediate the identified flaky tests.
How does Trunk Flaky Tests' quarantining feature work?
Trunk's test quarantining feature automatically identifies and isolates flaky tests, preventing them from failing your CI pipeline while maintaining visibility. When a test is quarantined, it still runs during CI, but its failures won't break your build - allowing development to continue smoothly while the flaky test gets fixed. The quarantine status is clearly visible in both the Trunk dashboard and through GitHub pull request comments, ensuring teams don't lose track of quarantined tests. Quarantined tests remain visible but non-blocking, striking a balance between pipeline reliability and test accountability. This approach keeps your CI/CD process moving while maintaining awareness of test issues that need attention.
What notification options does Trunk Flaky Tests provide compared to Codecov?
Trunk Flaky Tests offers a more comprehensive notification system specifically designed for flaky test management. Beyond standard email notifications, Trunk provides deep integration with Slack for real-time alerts about newly detected flaky tests or quarantine actions. Trunk's notification system is highly configurable through webhook integrations, letting teams route different types of alerts to appropriate channels. Codecov does offer notifications for coverage changes and build status, but these aren't specifically tailored for flaky test management. If keeping your team instantly informed about test flakiness is important for your workflow, Trunk's notification system provides more granular control and relevant information delivery.
How do Trunk Flaky Tests and Codecov compare in terms of ticketing integration?
This is where the platforms differ significantly. Trunk Flaky Tests offers direct Jira integration that automatically creates and updates tickets when flaky tests are detected. This integration maintains bi-directional sync, so test status updates in Trunk reflect in your Jira tickets and vice versa. This automated ticketing ensures flaky tests become part of your team's workflow rather than getting lost in the background. Codecov doesn't offer native ticketing integration for flaky test management - any ticket creation or tracking needs to be handled manually or through custom webhooks. For teams already using ticketing systems to manage work, Trunk's built-in integration creates a seamless connection between test flakiness detection and remediation.
What CI/CD systems do Trunk Flaky Tests and Codecov integrate with?
Both platforms offer broad integration with popular CI/CD systems. Trunk Flaky Tests works seamlessly with GitHub Actions, CircleCI, Jenkins, Travis CI, and other major CI providers, capturing test results regardless of your chosen CI system. Similarly, Codecov integrates with most common CI platforms to collect coverage data and test results. The key difference lies in how they use this integration - Trunk actively manages test reliability within your CI process through quarantining, while Codecov focuses on reporting coverage metrics. Both tools are designed to fit into existing workflows without requiring significant changes to your CI configuration, though Trunk's more active management approach may provide greater immediate value for teams struggling with flaky tests disrupting their pipelines.
