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Developer Tools · head to head

Dagger vs Maestro

Dagger logo

Dagger

Developer Tools

Programmable CI/CD engine that runs your pipeline as containers on any runner

From
Free
Rated
-
Full reviewWebsite
Maestro logo

Maestro

Mobile Development

Open source mobile UI testing with YAML flows, and a cloud priced per concurrent device rather than per test minute

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Dagger dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it.; Maestro cloud pricing is per concurrent device at 250 USD per month, so the cost is driven by how quickly you need the suite to finish rather than by how much you test, and a team wanting a fast pull request gate buys several devices at once.
  • They diverge on capability: Dagger covers Pipelines as code, Maestro covers YAML test flows.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dagger and Maestro actually diverge.

Attributes where Dagger and Maestro differ
AttributeDaggerMaestro
Pricing modelPer month per team for Dagger CloudPer concurrent cloud device per month
PlatformsLinux, macOS, Windows, Self-hostediOS, Android, Web, macOS, Linux, Windows
CategoryDeveloper ToolsMobile Development

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Dagger

  • Pipelines as code
  • Local and CI parity
  • Content-addressed caching
  • Dagger Functions and modules
  • CI-provider agnostic
  • Dagger Cloud traces
  • GitHub Checks integration
  • Container-native execution

Only in Maestro

  • YAML test flows
  • Built-in flakiness tolerance
  • Maestro Studio
  • Open source CLI
  • Cloud device runs
  • CI and pull request integration

What people use each for

The jobs each tool is most often brought in to do.

Dagger

  • A platform team maintaining near-identical build YAML across forty repositories that wants one versioned module every repository calls insteadnot Maestro
  • An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Maestro
  • A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Maestro
  • A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Maestro

Maestro

  • A mobile team replacing an Appium suite that spends more engineering time on maintenance than on new coveragenot Dagger
  • Running smoke tests on every pull request without buying and maintaining a physical device labnot Dagger
  • Letting a QA specialist who does not write application code author and own the end-to-end suitenot Dagger
  • Reproducing a reported bug by recording the exact flow in Studio and committing it as a regression testnot Dagger

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Dagger

  • Dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it.
  • Writing pipelines in Go or TypeScript raises the barrier to entry: a release engineer who could edit a YAML step now needs to read code, and the people who can fix a broken build shrink to those comfortable with the SDK.
  • The engine runs as a container on the runner and needs a persistent cache volume to deliver its main benefit, so ephemeral CI runners give you correctness without the speed, and provisioning durable cache storage is extra platform work.
  • The Team plan caps at ten users and ten million events per month; an organisation of any size crosses that quickly and moves to Enterprise pricing that is not published, so cost at scale is unknowable up front.
  • The module ecosystem is young and thinly maintained relative to the marketplace of a mature CI provider, so integrations that exist as a one-line Action often have to be written yourself as a Dagger function.

Maestro

  • Cloud pricing is per concurrent device at 250 USD per month, so the cost is driven by how quickly you need the suite to finish rather than by how much you test, and a team wanting a fast pull request gate buys several devices at once.
  • YAML is deliberately limited, so tests with real conditional logic or data-driven permutations end up in embedded scripting blocks where the readability advantage that justified the format disappears.
  • Maestro drives the app as a black box, so it cannot assert on internal state, mock a network layer from inside the process or inspect application memory the way an in-process framework can.
  • The hosted device catalogue is narrower than dedicated device clouds, so testing against a long tail of specific manufacturer builds and older operating system versions still requires another provider.
  • The project rebranded from mobile.dev to Maestro, so a share of existing tutorials, blog posts and links point at old domains and documentation that no longer match the current tooling.

Pricing, plan by plan

Dagger

Free
  • IndividualFree
    • One user
    • One million events per month
    • Workflow logs and function call traces
  • Team$50/month
    • Up to ten users
    • Ten million events per month
    • Module insights and module catalogue
  • Enterprise$undefined/year
    • Custom user and event limits
    • SSO
    • Managed single-tenant deployment

Maestro

Free
  • LocalFree
    • Free and open source CLI
    • Maestro Studio, Viewer and MCP
    • Runs on your own simulators, emulators and devices
  • Cloud$250/month
    • Per device per month
    • Unlimited hosted test runs
    • Hosted Android, iOS and web devices
  • Enterprise Cloud$undefined/year
    • Quoted
    • SSO and dedicated support
    • Custom contracts

Which should you pick?

Choose Dagger if

  • You need pipelines as code.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Self-hosted.
  • You also want local and ci parity.
Dagger review

Choose Maestro if

  • You need yaml test flows.
  • You want to start without paying.
  • You work on iOS, Android, Web, macOS, Linux, Windows.
  • You also want built-in flakiness tolerance.
Maestro review

Questions people ask

Is Dagger or Maestro better?
Neither clearly leads. Dagger starts at Free and Maestro at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dagger or Maestro?
Dagger starts at Free and Maestro at Free.
Does Dagger or Maestro run on more platforms?
Dagger runs on Linux, macOS, Windows, Self-hosted. Maestro runs on iOS, Android, Web, macOS, Linux, Windows.
Can I use Dagger for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dagger best used for?
Dagger is most often used for a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead, an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration, a team whose engineers waste hours pushing commits to debug ci-only failures and needs to reproduce the exact run locally, a monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materially. Of those, a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead and an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration are not what Maestro is typically brought in for.
What can Dagger do that Maestro cannot?
Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Maestro covers YAML test flows, Built-in flakiness tolerance, Maestro Studio, Open source CLI.

Answered from the vendors’ own pages

Dagger: Does Dagger replace GitHub Actions?

No. Dagger runs inside GitHub Actions or any other CI. It replaces the YAML that describes your pipeline steps, not the trigger and runner layer.

Maestro: Is Maestro free?

The CLI, Studio and local execution are free and open source. The hosted device cloud is 250 USD per device per month.

Dagger: Is the engine open source?

Yes, the Dagger engine and SDKs are open source and free. Dagger Cloud, the observability product, is what costs money.

Maestro: What exactly does per device mean?

It is a concurrency slot. One device runs one test at a time, so suite duration is a function of how many devices you buy.

Dagger: What is an event in the pricing?

Dagger Cloud meters pipeline telemetry events. One million per month is free; the Team plan at 50 USD per month allows ten million.

Maestro: How does it compare with Appium?

Tests are YAML rather than code and flakiness handling is built in, which reduces maintenance, at the cost of lower-level control.

Dagger: Can I run the same pipeline on my laptop?

Yes, that is the main reason teams adopt it. The dagger CLI executes the identical graph locally, so CI-only failures become reproducible.

Maestro: Can it test web applications too?

Yes, the cloud offers hosted web devices alongside Android and iOS, though the product centre of gravity is mobile.

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