Kleore vs Alternatives: Honest Comparison

Picking a flaky test tool? Here’s how Kleore stacks up against BuildPulse, Trunk, and Datadog — including where they beat us.

March 21, 2026 · 7 min read

There are a handful of tools that tackle flaky test detection. Each one makes different trade-offs around setup complexity, pricing, CI coverage, and features. We built Kleore because we thought the existing options were either too expensive, too complex, or too narrow. But we’ll let you judge.

Feature comparison

✓ = supported   ~ = partial/limited   — = not available. Based on publicly available information as of March 2026.

Pricing

Kleore

Free — $149/mo Pro

• Free: unlimited repos, flaky detection, cost breakdown, health reports
• Pro: quarantine, assignment, SLA tracking, AI diagnosis, auto-fix PRs
• Flat rate — no per-seat or per-repo pricing

BuildPulse

From $50/mo

• Priced per-repo
• No free tier
• Requires JUnit XML upload step in CI

Trunk Flaky Tests

Free — usage-based paid

• Free tier with limits
• Paid tiers based on test runs
• Requires Trunk CLI integration in CI

Datadog Test Visibility

Part of Datadog CI Visibility

• Bundled with Datadog CI module
• Priced per committed test run
• Requires Datadog agent + tracer in CI

Setup complexity

This is where the tools diverge most sharply. Here’s what setup actually looks like for each:

Kleore

~2 minutes

1. 1. Install the Kleore GitHub App
2. 2. Select which repos to scan
3. 3. Done — Kleore reads your existing CI runs, no workflow changes needed

BuildPulse

~15-30 minutes

1. 1. Create a BuildPulse account
2. 2. Add a CI step to upload JUnit XML test results
3. 3. Configure test suite grouping
4. 4. Modify CI workflow files for each repo

Trunk

~20-45 minutes

1. 1. Install Trunk CLI locally and in CI
2. 2. Initialize Trunk in your repo
3. 3. Configure test runner integration
4. 4. Add Trunk upload step to CI workflow
5. 5. Set up Trunk dashboard account

Datadog

~30-60 minutes

1. 1. Set up Datadog account with CI Visibility module
2. 2. Install Datadog agent in CI runners
3. 3. Add language-specific tracer to test framework
4. 4. Configure environment variables in CI
5. 5. Verify traces are being sent correctly

Where each tool wins

We’re biased, but we try to be honest. Here’s when each tool is the better choice:

Choose Kleore if...

• You want zero-config setup — no CI workflow changes, no test framework modifications
• You need dollar-cost visibility to justify fixing flaky tests to leadership
• You want assignment, SLA tracking, and quarantine in one tool
• You're a small-to-mid team that needs results fast without a long integration project

Choose BuildPulse if...

• You use multiple CI providers beyond GitHub Actions
• You need deep JUnit XML parsing and test-level timing analytics
• You're already uploading test artifacts and want to layer on flaky detection

Choose Trunk if...

• You want flaky test detection as part of a broader developer tools suite
• You're already using other Trunk products (linting, merge queues)
• You have engineering bandwidth to manage the CLI integration

Choose Datadog if...

• You're already a Datadog customer and want everything in one dashboard
• You need test visibility across multiple languages and CI providers
• Cost is not a primary concern — you're optimizing for observability breadth

The bottom line

If you want to see your flaky test problem in two minutes without modifying a single workflow file, Kleore is the fastest path. Install the GitHub App, and you immediately get a ranked list of every flaky test with dollar costs.

If you need multi-CI support or are already deep in another tool’s ecosystem, one of the alternatives might be a better fit. But for GitHub-native teams that want results without a setup project, Kleore is purpose-built for you.

See for yourself — it takes two minutes.

Install Kleore, pick your repos, and see every flaky test ranked by cost. No credit card. No workflow changes. No vendor lock-in.

Scan my repos — free

Further reading

• Flaky Test Cost Calculator — See what flaky tests cost your specific team.
• How Much Do Flaky Tests Actually Cost? — The full cost breakdown beyond CI minutes.
• How to Fix Flaky Tests in GitHub Actions — Practical code fixes for the most common patterns.