Flakiness.io
Flakiness.io analyzes test results from GitHub and GitLab repositories to help teams spot flaky tests and regressions across commits.
What Flakiness.io is
Flakiness.io analyzes test results from GitHub and GitLab repositories to help teams spot flaky tests and regressions across commits. It classifies tests that switch between passing and failing on the same commit as flakes, while persistent outcome changes at a commit count as regressions. Listed runners include Playwright, Pytest, Vitest, Jest, CucumberJS, Bun, Rust, and a JUnit XML bridge; a Node.js SDK supports custom integrations. The service works with any CI provider, ingests results as they arrive, merges shards, and keeps staging and production histories separate. Reports cover test history, grouped errors, system telemetry, and a test waterfall, with uploaded logs, screenshots, videos, traces, and HTML files. Playwright can use recorded test durations to balance shards. Hosted plans and self-hosting are available; self-hosted deployments use PostgreSQL and S3-compatible storage. The Free plan lists 1 GB of artifact storage and 90 days of retention. Startup costs $49/mo and includes 10 GB of artifact storage and 180 days of retention.
Good
- Detects flakes and persistent test regressions.
- Works with any CI provider.
- Supports several listed test runners and a Node.js SDK.
- Reports include history, error grouping, and telemetry.
- Offers hosted and self-hosted deployment.
Watch out
- Free plan lists 1 GB of artifact storage.
- Free plan retains data for 90 days.
- Startup costs $49/mo.
- Self-hosted customers are responsible for securing deployments and credentials.
Who it suits
Flakiness.io suits engineering teams tracking test behavior across commits in GitHub or GitLab. It may also fit teams wanting self-hosting or test reports with uploaded run artifacts.
Verdict
Flakiness.io combines cross-commit test analysis with CI ingestion, reporting, and artifact support. Review its retention and artifact-storage limits, and avoid uploading the sensitive data categories it excludes.
Plans and prices
From Flakiness.io's own pricing page, checked 2 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Startup | $49 a month | 10 GB artifacts storage · 180 days data retention · Unlimited test runs · Unlimited users · Standard support · billed monthly |
| Growth | $199 a month | 100 GB artifacts storage · 365 days data retention · Unlimited test runs · Unlimited users · Priority support · billed monthly |
| Enterprise | Priced on request | Custom artifacts storage · Custom data retention · Unlimited test runs · Unlimited users · Priority support · contract pricing |
| Free | — | 1 GB artifacts storage · 90 days data retention · Unlimited test runs · Unlimited users · Standard support |
The facts
Each one read from Flakiness.io's own pages, with the date it was checked.
What it does
- AI agents
- The site describes compact failed-run context for coding agents and shows Claude Code, Codex, and Cursor.checked 2 Oct 2026
- CI
- It says it works with any CI provider, ingests results as they arrive, merges shards, and keeps staging and production histories separate.checked 2 Oct 2026
- Data limits
- The privacy policy says customers must not upload HIPAA-regulated health information, payment card data, children's data under 13, or classified or export-controlled government information.checked 2 Oct 2026
- Flake detection
- It classifies tests that flip between passing and failing on the same commit as flakes, and persistent outcome changes at a commit as regressions.checked 2 Oct 2026
- Pricing model
- The site says pricing is based on stored data rather than test runs or user seats.checked 2 Oct 2026
- Purpose
- Flakiness.io provides test analytics for GitHub and GitLab and tracks test performance across commits to detect regressions.checked 2 Oct 2026
- Reports and artifacts
- Reports include test history, error grouping, system telemetry, and a test waterfall; uploaded artifacts can include logs, screenshots, videos, traces, and HTML files.checked 2 Oct 2026
- Repository access
- The product follows connected GitHub or GitLab repository permissions for access to test analytics.checked 2 Oct 2026
- Security
- The privacy policy lists encryption in transit, Cloudflare network protection, access controls, environment isolation, and monitoring; customers are responsible for securing self-hosted deployments and credentials.checked 2 Oct 2026
- Self-hosting
- A self-hosted deployment uses one application container backed by PostgreSQL and an S3-compatible object store; licensing details are available by contacting the maker.checked 2 Oct 2026
- Sharding
- It records test durations so compatible runners can balance shards using historical runtime; Playwright is the listed supported runner for this feature.checked 2 Oct 2026
- Support
- The pricing page lists standard support for Free and Startup plans and priority support for Growth and Enterprise plans.checked 2 Oct 2026
- Test runners
- The site lists Playwright, Pytest, Vitest, Jest, CucumberJS, Bun, Rust, and a JUnit XML bridge, plus a Node.js SDK for custom integrations.checked 2 Oct 2026
The company
- Maker
- The site identifies Andrey Lushnikov as the creator and displays Degu Labs Inc in its copyright notice.checked 2 Oct 2026
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