
Trunk vs Testim
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
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FAQs
How does Testim identify and handle flaky tests compared to Trunk?
Testim uses AI-powered analysis to identify tests that produce inconsistent results across multiple runs. It flags these as potentially flaky based on patterns in test execution history. Trunk Flaky Tests takes a more comprehensive approach by analyzing test results across various frameworks, offering broader support for different testing environments. While both tools can identify flakiness, Trunk's Detection of Flaky Tests algorithm works with any test framework that outputs JUnit XML or XCResult formats, making it significantly more versatile. Both platforms provide dashboards to track flaky test patterns, but Trunk offers more extensive integration options with development workflows.
What are the common causes of test flakiness in automated testing frameworks?
Test flakiness typically stems from several root causes that plague both Testim and other testing frameworks. The most common culprits include timing issues (when tests rely on specific timing that can vary), asynchronous operations that aren't properly handled, resource dependencies like database connections, environmental inconsistencies between test runs, and concurrency problems when tests interfere with each other. Network reliability issues and inadequate test isolation also frequently contribute to flakiness. Understanding these causes is essential for effective remediation, which is why tools like Trunk provide detailed analytics on flaky test patterns. The Flaky Tests Documentation offers great insights into identifying and addressing these common issues.
Can Testim automatically quarantine flaky tests in CI/CD pipelines?
Yes, Testim does offer quarantining capabilities for flaky tests within its platform, but with some limitations compared to more specialized tools. When a test is identified as flaky, Testim can isolate it to prevent CI/CD disruptions. However, Trunk's Quarantining Flaky Tests feature provides more granular control, allowing teams to set specific quarantine policies based on test characteristics and failure patterns. Trunk also maintains comprehensive quarantine history and supports automatic un-quarantining when tests stabilize. Both platforms prevent flaky tests from blocking deployments, but Trunk's quarantining system integrates more deeply with various CI providers and offers more flexible policy options.
How can testing tools be integrated into existing CI/CD workflows to reduce flaky tests?
Effective integration of testing tools into CI/CD workflows requires seamless connections with your existing systems. Testim offers basic integration with popular CI platforms, but Trunk Flaky Tests provides more extensive options including deep GitHub integration, Jira Integration for Flaky Tests for automatic ticket creation, and robust Webhooks for Flaky Tests to connect with virtually any system. For optimal results, look for a tool that fits your specific workflow without requiring major changes. Trunk's platform-agnostic approach means it works with practically any CI provider while offering features like automatic detection, smart quarantining, and detailed analytics all within your existing pipeline structure.
What's the difference between Trunk Flaky Tests and Testim's core functionality?
Trunk Flaky Tests is laser-focused on solving the flaky test problem specifically, offering deep analytics, framework-agnostic support, and extensive integration options. Testim, on the other hand, is primarily a test automation platform that includes flaky test handling as one feature within its broader offering. Where Testim excels in AI-powered test creation and maintenance, Trunk provides more comprehensive flaky test management capabilities. This fundamental difference means that Trunk typically offers more specialized features for flaky test detection and management, while Testim might be better suited for teams looking for an all-in-one testing solution who are willing to work within its framework constraints.
How do notification systems for flaky tests compare between platforms?
Notification systems vary significantly between flaky test management platforms. Testim offers basic notifications, but Trunk Flaky Tests provides a much more comprehensive ecosystem including Slack Integration and customizable alerts based on test failure patterns. Trunk's notification system can be configured to alert specific team members based on ownership or test characteristics, reducing alert fatigue while ensuring the right people are informed. The ability to receive contextual notifications within existing communication channels (like Slack or GitHub) helps teams address flaky tests proactively without disrupting their workflow. This integration-first approach makes Trunk particularly effective for teams already using these collaboration tools.
Are there pricing differences between Trunk Flaky Tests and Testim?
Yes, there are notable pricing differences between these platforms. Trunk Flaky Tests offers a free tier for open-source projects and small teams, making it accessible for projects with limited resources. Its paid tiers scale based on repository count and team size. Testim typically follows an enterprise pricing model based on test runs and users, which can become costly for larger implementations. The significant distinction is Trunk's commitment to supporting open-source development with free access, while Testim doesn't offer a specific free tier for open-source projects. When evaluating cost-effectiveness, consider not just the sticker price but also implementation time, maintenance effort, and the breadth of integration options each tool provides.
How do Trunk and Testim handle test result analytics?
Both platforms offer analytics for test results but with different approaches and depths. Testim provides basic visualizations of test stability and performance within its platform. Trunk Flaky Tests offers more comprehensive analytics ,including failure pattern recognition, historical trends, and impact analysis. Trunk's analytics can identify correlations between test failures and specific code changes, environments, or time patterns, providing deeper insights into the root causes of flakiness. Additionally, Trunk's analytical capabilities extend across multiple test frameworks and CI providers, giving a holistic view of test health across the entire development ecosystem rather than being limited to tests running within a single platform.
Can Testim identify flaky tests across different testing frameworks?
Testim's ability to identify flaky tests across different frameworks is somewhat limited. While it does support major frameworks like Selenium and its own proprietary system, it doesn't have the framework-agnostic approach that Trunk offers. Trunk Flaky Tests can work with any test framework that outputs standard formats like JUnit XML or XCResult, making it significantly more versatile for teams using multiple testing technologies. This distinction becomes crucial for organizations with diverse testing stacks or those working with legacy systems. Trunk's wider compatibility means teams don't need to standardize on a single testing framework to gain comprehensive flaky test detection capabilities.
How do these tools help improve developer productivity?
Both tools aim to improve developer productivity, but through different mechanisms. Testim focuses on making test creation and maintenance easier with its AI-powered approach. Trunk Flaky Tests directly addresses the productivity drain caused by flaky tests by providing precise detection, smart quarantining, and workflow integration. By automatically identifying and isolating flaky tests, Trunk prevents false alarms that would otherwise block CI/CD pipelines and waste developer time. The GitHub Pull Request Comments feature is particularly valuable, as it brings flaky test information directly into developers' existing workflow, eliminating context switching and reducing debugging time.
How does each platform handle integration with issue tracking systems?
Integration with issue-tracking systems differs significantly between platforms. Testim offers basic integration with popular issue trackers, but Trunk provides more comprehensive capabilities, particularly with its Jira Integration for Flaky Tests. Trunk can automatically create and update tickets based on flaky test detection, with customizable rules for ticket creation, assignment, and prioritization. This automation streamlines the remediation workflow by ensuring flaky tests are tracked and addressed systematically. For teams already using Jira or similar systems, Trunk's deeper integration capabilities can significantly reduce the manual overhead of tracking and managing flaky test issues.
Can these tools help reduce CI/CD pipeline costs?
Yes, both tools can help reduce CI/CD pipeline costs, though through different mechanisms. By identifying and managing flaky tests, both Trunk and Testim can prevent unnecessary build reruns and reduce wasted compute resources. Trunk Flaky Tests tends to offer more direct cost savings through its smart quarantining capabilities and integration with various CI providers. By preventing flaky tests from triggering false failures, Trunk reduces the number of rebuilds required, directly translating to lower CI compute costs. Additionally, the time saved from debugging false failures represents significant cost savings in terms of developer productivity, often the most expensive resource in software development.