What is the main difference between Playwright and Cypress?

Playwright supports multiple browsers (Chromium, Firefox, WebKit/Safari) and multiple programming languages (JS, Python, Java, .NET) with a more complete cross-browser testing story. Cypress is JavaScript-only, runs in-browser for unique debugging with time-travel, and has a more opinionated but beginner-friendly API.

When should I use Playwright vs Cypress?

Choose Playwright for cross-browser testing requirements, non-JavaScript teams, CI/CD-optimized parallel execution, or when testing Safari/Firefox behavior is important. Choose Cypress for JavaScript teams that prioritize developer experience, interactive test debugging, and a simpler getting-started experience.

Is Playwright faster than Cypress?

Playwright is generally faster in CI due to better parallelization and lower overhead. Cypress runs tests in the browser itself which adds overhead but enables its unique debugging features. For large test suites in CI, Playwright typically completes faster.

Free Tool · GitHub Archive · 30-day data

Playwright vs Cypress Comparison

Playwright vs Cypress: cross-browser support, speed, flake rate, dev experience. Real GitHub adoption and the right E2E pick in 2026.

microsoft/playwright Playwright Recent public evaluation signal

cypress-io/cypress Cypress Recent public evaluation signal

Playwright vs Cypress: which should you choose?

Playwright has gained significant momentum with its multi-browser support and faster execution model. Cypress remains deeply loved for its DX. Real evaluation data — PRs, issues, forks — shows where developer attention is trending now.

A higher intent score means more developers are actively testing, forking, and contributing to that project right now. It’s the closest proxy we have to “which is gaining traction” without access to private usage data.

How the comparison works

This tool surfaces real developer evaluation activity from the last 30 days — PRs opened, issues filed, forks, and code pushes from non-team contributors. We run the same GitHub Archive query for both repos simultaneously (results cached 24h per repo), weight PRs (50%), issues (30%), and forks (20%) over stars, filter bots, and produce a 0–100 intent score. See the winner, score gap, and which developers are evaluating.

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