Compare Zebrunner vs TestDino. See how TestDino adds Playwright-native trace viewing, AI failure classification, and MCP agent workflows.
Zebrunner is a multi-framework ecosystem offering Selenium Grid and device farm infrastructure. TestDino provides a fully managed dashboard tailored for Playwright. It groups errors by root cause, ships an embedded Playwright trace viewer inline on every failure, and ties each run to its PR natively.
Reporting is just the start. TestDino includes modern test management where test cases live alongside run history and releases. The entire record is queryable by Claude Code, Cursor, or any MCP-compatible agent, so your AI coding tools never debug blind.
Zebrunner has its own focus. TestDino optimizes your Playwright CI/CD test suite and AI agent workflows.
Inline Playwright trace viewer
Every failed test opens with an embedded trace viewer showing DOM snapshots, network calls, and console logs, plus video playback and error groups by message, stack trace, and location.
Analytics that persist across runs
The Analytics view tracks Test Run Volume, Flakiness, New Failures, and Retry Trends across the entire history, with Slowest Tests, Most Flaky Tests, and Speed Improvement metrics surfacing automatically.
MCP-native test access
The TestDino MCP Server gives Cursor, Claude Code, and Claude Desktop a direct line into Playwright runs. Coding agents debug failures with debug_testcase, list runs by branch or commit, and update manual cases from the IDE.
Flat pricing model
Zebrunner starts at $999/month for 100 users. TestDino charges a flat $39/month for 10,000 test executions and includes your whole team, making it far more accessible for small to mid-size engineering teams.
No inline Playwright traces
Zebrunner does not embed the native Playwright trace viewer. To debug DOM snapshots, network requests, and console logs from a Playwright run, teams download trace artifacts and open them locally with npx playwright show-trace.
No native PR view
Zebrunner lacks a built-in Pull Request view that ties test results to commits, files changed, and PR context. Teams need third-party tools to get test results inline on GitHub or GitLab PRs.
Expensive entry point
Zebrunner's cheapest SaaS plan starts at $999/month. There is no permanently free SaaS tier. The free Community Edition requires self-hosting with Docker and ongoing DevOps maintenance.
Java-heavy heritage
Zebrunner's strongest integrations are with the Java ecosystem (TestNG, JUnit, Carina). It supports Playwright via a JavaScript agent, but the platform is not purpose-built for Playwright's trace-centric debugging workflow.
| | |
|---|---|---|
| Pricing (starts at) | $39/month (billed annually) | $999/month |
| Best for | Playwright test intelligence & management | Multi-framework test ecosystem |
| Playwright integration | Native (trace viewer, error grouping, MCP) | Via JavaScript agent |
| Ease of use |  |  |
| One-step CI setup | ||
Dashboards & Reporting | ||
| Unified Playwright dashboard | Multi-framework | |
| Multi-tab test run detail | Summary, History, AI Insights & more | Dashboards & widgets |
| Pull request insights | ||
| Test ExplorerBrowse tests as a hierarchy, a flat list, or by tag. | Filterable test list | |
| Real-time streaming | Per-shard/worker | WebSocket-based |
| Scheduled PDF reports | Daily/Weekly/Monthly | |
Test Analytics | ||
| Analytics: trends & patterns | For test runs, test cases & more | Custom widgets |
| Code coverage, per-file | Istanbul, run-level | Via SonarQube |
| Environment analytics | Pass-rate/flaky by env | Environment tagging |
Debugging & Evidence | ||
| Built-in Playwright trace viewer | ||
| Screenshots & video replay | Embedded | Embedded + VNC |
| Console logs (per test) | Node + browser | Via agent |
| Visual diff comparison | ||
| Smart error grouping | Message/stack/location | Stack trace only |
| Flaky detection | ||
| Playwright tags & annotationsAttach priority, owner, links, and metrics to tests. | Priority/owner/links/metrics | Basic labels |
CI/CD Optimization | ||
| GitHub CI Checks quality gates | Per-env + mandatory tags | |
| Branch → environment mappingMatch each Git branch to the environment it runs against. | Exact/regex | |
| Sharded / parallel run support | Per-shard live view | Via Selenium Grid |
| Native CI breadth | GitHub, GitLab, Azure DevOps, TeamCity, Bitbucket, CircleCI, Jenkins | Jenkins + Webhooks |
| Self-managed GitLab | Via Webhooks | |
Test Management | ||
| Test case management (suites, ownership) | ||
| Bulk test creation (PRDs/Jira/stories) | via MCP | AI autocomplete |
| Release tracking (releases/cycles/sprints) | Milestones | |
| Exploratory / manual sessions | Live testing | |
| Import / export test cases | JSON/CSV/ZIP | API-based |
AI & Automation | ||
| Local MCP (IDE agents) | Cursor/Claude Code/Copilot | MCP Server |
| Remote MCP (web AI) | ||
| AI test run summary on GitHub PRs | ||
| AI test suite audit (audit score + report) | ||
| AI failure classification | ||
Integrations & Collaboration | ||
| Bug tracking breadth | Jira, Linear, Asana, monday | Jira (Xray, Zephyr) |
| Slack notifications (run summaries) | App + webhooks | Configurable |
Platform & Security | ||
| Public API & CLIs | REST API + CLI | REST API |
| Project-level AI controls | Per-feature toggles | |
| Compliance & certifications | ISO 27001, SOC 2 Type II, GDPR | ISO 27001 |
Plans & Pricing | ||
| Plan tiers | Free · Pro $39 · Team $79 · Enterprise | Insights · TestOps · TestOps Plus |
| Free executions | 5,000/mo | 14-day trial only |
| Support | Chat + Slack Connect + Priority email | Email + Ticket-based |
| Start for Free | ||
Feature-by-feature breakdown showing how each tool handles the areas that matter most to testing teams.
Zebrunner offers customizable widget-based dashboards with real-time WebSocket updates. It lacks a native PR view tied to commits and files changed, and does not offer scheduled PDF report exports. Widgets are flexible but require manual configuration to surface Playwright-specific insights.
Zebrunner captures screenshots, video recordings, and console logs as execution artifacts. It does not embed the native Playwright trace viewer inline. To step through DOM snapshots, network requests, and console logs from a Playwright run, teams download trace .zip files and open them locally.
Zebrunner provides AI/ML-based failure classification with four categories (Business Issue, Locator Issue, Infra Issue, Uncategorized). It does not offer project-wide AI audit scores, confidence-scored categorization, or AI-generated summaries posted to GitHub PRs.
debug_testcase, and file the Jira or Linear ticket without leaving the IDE.Zebrunner offers an MCP Server for AI assistant integration, enabling test case management and automation reporting via natural language. It lacks a Remote MCP endpoint, AI test run summaries on GitHub PRs, and AI test suite audit capabilities.
Zebrunner supports smart reruns via reporting agents and can trigger test suites from Git repositories via Launchers and Webhooks. It does not offer native GitHub CI Checks quality gates, branch-to-environment regex mapping, or first-class GitHub Actions or GitLab CI integrations.
Zebrunner offers a full manual test case management module with AI-powered autocomplete, drag-and-drop editing, and execution planning. Bug tracking is limited to Jira (Xray and Zephyr), with no native Linear, Asana, or monday support. Test case import and export is API-based rather than built-in UI workflows.
Purpose-built capabilities that help Playwright teams ship faster and debug smarter.
Where each tool leads, and where it falls short.
Zebrunner is a multi-framework test ecosystem combining reporting, infrastructure (Selenium Grid, Device Farm), and test management under one roof.
Built-In Infrastructure
Managed Selenium Grid and physical mobile device farm for cross-browser and cross-device parallel execution.
Multi-Framework Support
Native agents for Java (TestNG, JUnit), JavaScript (Playwright, Cypress), Python (PyTest), and C# (NUnit).
AI Test Case Generation
AI autocompletes and generates manual test cases, reducing effort during test planning.
TestDino is a Playwright-native AI test intelligence platform that brings inline trace viewing, AI classification, and failure analytics into one focused reporter.
Inline Playwright Debugging
Trace viewer, screenshots, video, and console logs all open inline on the failed test. No artifact attachments, no local trace viewer launches.
Flat Pricing Model
Predictable pricing for engineering teams, avoiding $999/month entry points or per-user billing as your team scales.
Cross-Run Flakiness Detection
Retry analysis plus pattern detection across run history. Flakes get caught even when CI retries aren't enabled.
TestDino MCP Server
Lets AI coding agents query Playwright test runs, debug failures with full retry and artifact context, detect flaky tests, and manage manual test cases and suites, all from the editor.
Verified reviews from QA and engineering teams running Playwright in production.
Analyzing failed Playwright runs in CI used to eat up a lot of our time. TestDino solved that with a centralized dashboard that pulls in screenshots, logs, and failure trends in one place. What's been most useful is the automatic grouping of failures, since instead of checking each failing test individually, we can immediately see patterns and likely causes. It's made triaging failures, and identifying which tests are simply flaky, dramatically faster.
Lead Software Engineer
We inherited an existing test suite without much context on how it was built, and TestDino gave us a real way to take ownership of it. It shows us clearly which tests are the slowest, the flakiest, and the ones failing most often, which has been essential for knowing where to focus our effort. It's given us the visibility to understand the current state of the code and steadily improve its reliability.
Senior QA Engineer at Penpot by Kaleidos
I monitor everything my tests do, from the full list of tests to detailed error screenshots. The GitHub integration is smooth, so commit hashes, CI runs, and HTML reports open straight from the dashboard. I use TestDino almost every day, and it has improved the quality of our automation code.
Lead QA Automation Engineer
Before TestDino, we were manually digging through raw reports to catch flaky and failing tests, and it took a lot of time. Now everything is stored and analyzed automatically, with no extra setup layers needed. The installation itself was simple, and it's made spotting flaky tests a much faster, cleaner process for our team.
Test Automation Team Lead
TestDino gives us a clean dashboard and reporting setup that's genuinely easy to work with, packed with useful analytics. It's effectively replaced what used to be a custom Power BI dashboard for us, while being far simpler to set up and maintain. The platform makes it easy to centralize and visualize results, so tracking trends and understanding failures no longer takes extra effort.
QA Automation Engineer
Reviewing our Playwright test results used to mean sifting through raw output to figure out what actually broke. TestDino changed that by giving us a clear, structured view of every run. Failed tests are easy to spot right away, and debugging that used to take real effort now moves a lot faster.
Automation Engineer
Enterprise-grade security so your team can focus on shipping instead of worrying about data.
Secure authentication, role-based access control, and data encryption safeguard your test data in transit and at rest.
Persistent analytics with historical tracking deliver reliable insights about test performance, coverage, and release readiness.
Automated backups and retention policies maintain a complete history of test data. Project-scoped access prevents unauthorized changes.
Zebrunner charges based on users and projects. TestDino charges a flat monthly fee.
Includes 100 users, 3 projects, and 100 GB storage. Higher tiers increase limits.
Automation reporting
Test case management
AI failure classification
Customizable dashboards
Jira and Slack integration
For dev teams shipping to production. Flat pricing with managed dashboard, AI, and MCP included.
10,000 test executions per month
Up to 3 users
60-day data retention
AI failure classification with confidence scores
MCP Server with test case writes
Embedded trace viewer and debugging features
PR view and CI/CD optimization
Integrations with Jira, Linear, Asana, Slack
Stop wasting time on
downloaded trace files
No, they serve different purposes. Zebrunner is a multi-framework test ecosystem with its own Selenium Grid and device farm, built around Java-centric automation. TestDino is purpose-built for Playwright test intelligence, providing inline trace viewing, AI classification, and MCP agent integration. Teams using Playwright benefit from TestDino's deeper Playwright-native debugging experience.
Side-by-side comparisons of features, pricing, and integrations to help you pick the right testing tool.
