Branch & tag filters
Slice the overview by branch or tag to compare main against a feature branch, or smoke against nightly.
Playwright ships a great report for a single run. kinora sits one level up: push every CI run and get one place to track pass rates, spot trends, surface flaky tests, and open the full trace inline.
pnpm add -D @kinora/reporter
[ Features ]
Push from CI and kinora keeps the history. Pass rate, run count, and duration per project, with a sparkline trend and one colored strip per run, so a slow drift is obvious long before it breaks the build.
Every test gets a flaky rate and a fail rate computed across its run history. Flip on Unstable only to see what is quietly costing you retries, and spot the ones newly broken or newly flaky since the last run.
Each test keeps a stable identity regardless of how it was uploaded, so you can track one test run-to-run: when it started flaking, when it was fixed, and how long it has been green.
Pick any two runs and kinora groups every difference for you: newly failing, fixed, newly flaky, and still failing. No more diffing two HTML reports by eye to find the one test that regressed since green.
[ Trace viewer ]
Failing tests get a View trace button that opens the full Playwright trace inline, DOM, timeline, network and console, no download, no separate tooling. The replay engine is vendored straight from Playwright, so it is the viewer you already know. Want a second opinion? Copy prompt turns the failure into an LLM-ready prompt, error and context included, to paste into your assistant.
[ And the rest ]
Slice the overview by branch or tag to compare main against a feature branch, or smoke against nightly.
Auto-upload at the end of every run, or push an existing results.json from a separate CI job. Same data either way.
A test keeps the same key across runs and ingest paths, so its history never silently breaks.
Diff two runs and see what is newly failing, what got fixed, and what just turned flaky.
skip, fixme and slow annotations show up where they matter instead of hiding in the raw report.
Your results stay on your own box. AGPL server and dashboard, MIT client libraries you embed.
[ Setup ]
The reporter is the quick path. Prefer to upload an existing results.json
from a separate job? The CLI does the same, and both share @kinora/core
so a test keeps a stable identity across runs and ingest methods.
One line in your Playwright config. It auto-uploads at the end of every run.
export default defineConfig({
reporter: [['@kinora/reporter', { project: { slug: 'web-app' } }]],
// enable tracing so View trace works
use: { trace: 'on-first-retry' },
}) Pass the target and a project token by env, kept out of the config and in CI secrets.
KINORA_URL=https://your-kinora-server \
KINORA_TOKEN=<project-token> \
npx playwright test Pass rates, trends, flaky tests and full traces land in kinora, one strip per run.
[ Pricing ]
Self-host free, forever. Or let us run it: every cloud plan has unlimited seats, so the whole team watches without counting logins. You pay for test results, not people.
The full dashboard and embedded trace viewer, AGPL-3.0, on your own infrastructure. Unlimited everything, no account needed.
Try kinora cloud on a side project.
For teams shipping on CI every day.
10k results included, then $5 / 1k
Join the waitlistFor heavy CI and longer history.
50k results included, then $4 / 1k
Join the waitlistFor scale and compliance needs.
A test result is one test in one run. Cloud is in early access, join the waitlist to get in at launch.
Add the reporter, point it at a kinora server, and watch the history build itself.