Testing · head to head
GrowthBook vs mabl

GrowthBook
Testing
Open source feature flags and A/B testing that run experiment analysis inside your own data warehouse
- From
- Free
- Rated
- -

mabl
Testing
Low-code browser and API test automation with hosted runners and self-healing selectors
- From
- On request
- Rated
- -
The short version
- Only GrowthBook has a free tier, so it costs nothing to try first.
- Each has a real cost: GrowthBook warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.; mabl tests are stored in a proprietary format and cannot be exported as runnable code, so migrating to Playwright or Cypress later means re authoring every test by hand.
- They diverge on capability: GrowthBook covers Feature flags, mabl covers Trainer recorder.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which GrowthBook and mabl actually diverge.
| Attribute | GrowthBook | mabl |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Per user per month | quote |
| Free tier | Yes | No |
| Platforms | Web, Self-hosted, Docker | Web, macOS, Windows, Linux |
Identical on both: user rating (Not yet rated), category (Testing).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in GrowthBook
- Feature flags
- Warehouse-native analysis
- Reusable metric definitions
- Bayesian and frequentist engines
- CUPED variance reduction
- Visual editor
- Self-hosting
- Guardrail metrics
Only in mabl
- Trainer recorder
- Auto healing selectors
- API testing
- Accessibility checks
- Cross browser cloud runs
- CI and issue tracker hooks
What people use each for
The jobs each tool is most often brought in to do.
GrowthBook
- An engineering team that wants feature flags without a per-monthly-active-user bill that grows with product successnot mabl
- A data team that needs experiment results to reconcile exactly with the metrics reported in its BI toolnot mabl
- A company with data residency or privacy constraints that cannot send user-level event data to a third-party vendornot mabl
- Running long-tail experiments where sequential testing and CUPED shorten the time to a decision on low-traffic surfacesnot mabl
mabl
- A QA team of two or three people responsible for regression coverage across a web application released weeklynot GrowthBook
- An organisation that abandoned a Selenium suite because maintenance consumed more time than manual testing didnot GrowthBook
- Teams that need accessibility scanning and functional regression reported in the same runnot GrowthBook
- Product companies where non engineers, such as support or business analysts, are expected to author testsnot GrowthBook
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
GrowthBook
- Warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.
- Metrics are SQL, so a marketing or product team without data engineering support cannot define or fix them, and a badly written metric silently produces a confident wrong answer.
- Cloud Pro bills per seat and then adds CDN request and bandwidth overages, so a high-traffic site can find the variable component exceeds the seat cost it budgeted for.
- Self-hosting means you own the Mongo database, the SDK endpoint availability and the upgrade path, and a flag service that is down is a production incident, not an analytics inconvenience.
- The statistics engine exposes real choices, Bayesian versus frequentist, sequential testing, variance reduction, and the tool will not stop a team that configures them wrongly, so it rewards statistical literacy and punishes its absence.
mabl
- Tests are stored in a proprietary format and cannot be exported as runnable code, so migrating to Playwright or Cypress later means re authoring every test by hand.
- Auto healing can mask a genuine defect: if an element is removed and a similar one takes its place, the test adapts and passes when a user facing regression has actually shipped.
- Pricing is not published and is driven by concurrent run capacity, so the cost of shortening a two hour suite to twenty minutes is a renegotiation rather than a configuration change.
- Debugging a failure happens inside a hosted runner you do not control, which makes flakiness caused by test data or environment timing harder to reproduce locally than with a suite you run yourself.
- Native mobile application coverage is thin compared with the browser product, so teams with an iOS or Android app still need a second tool such as Appium or Maestro.
Pricing, plan by plan
GrowthBook
Free- Open source (self-hosted)Free
- Unlimited users, feature flags and experiments
- One project
- MIT licensed, you run the infrastructure
- Starter (cloud)Free
- Up to 3 users
- 1 project
- Unlimited flags, experiments and traffic
- Pro (cloud)$40/month
- Per seat, up to 50 users
- 3 projects
- CDN overage at $10 per million requests beyond the included allowance
- Enterprise$undefined/year
- Unlimited users and projects
- SSO, audit logs and advanced permissions
- Available on cloud or self-hosted
mabl
On request- mabl$undefined/year
- Annual subscription quoted per organisation, with the number of concurrent cloud runs as the main cost driver
- Trial available without a sales call, full pricing is not published
Which should you pick?
Choose GrowthBook if
- You need feature flags.
- You want to start without paying.
- You work on Web, Self-hosted, Docker.
- You also want warehouse-native analysis.
Choose mabl if
- You need trainer recorder.
- You work on Web, macOS, Windows, Linux.
- You also want auto healing selectors.
Questions people ask
- Is GrowthBook or mabl better?
- Neither clearly leads. GrowthBook starts at Free and mabl at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, GrowthBook or mabl?
- GrowthBook has a free tier; the other does not. Paid plans start at Free for GrowthBook and On request for mabl.
- Does GrowthBook or mabl run on more platforms?
- GrowthBook runs on Web, Self-hosted, Docker. mabl runs on Web, macOS, Windows, Linux.
- Can I use GrowthBook for free?
- Yes. GrowthBook has a free tier, so you can try it without paying. mabl starts at On request.
- What is GrowthBook best used for?
- GrowthBook is most often used for an engineering team that wants feature flags without a per-monthly-active-user bill that grows with product success, a data team that needs experiment results to reconcile exactly with the metrics reported in its bi tool, a company with data residency or privacy constraints that cannot send user-level event data to a third-party vendor, running long-tail experiments where sequential testing and cuped shorten the time to a decision on low-traffic surfaces. Of those, an engineering team that wants feature flags without a per-monthly-active-user bill that grows with product success and a data team that needs experiment results to reconcile exactly with the metrics reported in its bi tool are not what mabl is typically brought in for.
- What can GrowthBook do that mabl cannot?
- GrowthBook covers Feature flags, Warehouse-native analysis, Reusable metric definitions, Bayesian and frequentist engines. mabl covers Trainer recorder, Auto healing selectors, API testing, Accessibility checks.
Answered from the vendors’ own pages
GrowthBook: Is the self-hosted version actually usable, or crippled?
It is genuinely usable: unlimited users, flags and experiments on one project under an MIT licence. The paid tiers add multiple projects, SSO, audit logs and support.
mabl: Can I export mabl tests to Playwright if we leave?
No. You can export documentation of the steps, but not runnable code. Budget for re authoring the suite.
GrowthBook: Do I need a data warehouse?
For experiment analysis, effectively yes. Feature flagging works without one, but the reason to choose GrowthBook over a flag-only tool is the warehouse-native statistics.
mabl: Does auto healing actually work?
It works often enough to be the reason people buy it, but it cannot be verified from a demo. Trial it against your own application through at least two real releases.
GrowthBook: How does the cost compare with LaunchDarkly or Optimizely?
GrowthBook charges per seat rather than per monthly active user or per tracked event, so cost stops scaling with traffic. At high volume that difference is large.
mabl: Is mabl a replacement for unit tests?
No. It covers end to end journeys through a running application. Unit and integration coverage still belongs in your repository.
GrowthBook: Does it support mobile and server-side flags?
Yes, there are SDKs across JavaScript, React, Python, Go, Ruby, PHP, Java, Kotlin, Swift and more, covering client, server and mobile evaluation.
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