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Developer Tools · head to head

Dagger vs Proto.io

Dagger logo

Dagger

Developer Tools

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

From
Free
Free plan
Yes
Proto.io logo

Proto.io

Design

Hosted high-fidelity prototyping with device preview and no code

From
On request
Free plan
No

The short version

  • Dagger starts at $50/mo; Proto.io prices on request.
  • Only Dagger lists pipelines as code; only Proto.io lists event and condition system.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dagger and Proto.io actually diverge.

Attributes where Dagger and Proto.io differ
AttributeDaggerProto.io
Starting priceFreeOn request
Pricing modelPer month per team for Dagger CloudPer user per month
Free tierYesNo
PlatformsLinux, macOS, Windows, Self-hostedWeb, iOS, Android
CategoryDeveloper ToolsDesign

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 Proto.io

  • Event and condition system
  • Timeline animation
  • Device preview
  • Component library
  • User testing integration
  • Design import

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 Proto.io
  • An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Proto.io
  • A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Proto.io
  • A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Proto.io

Proto.io

  • Running usability tests where the prototype must respond to real input rather than replay a fixed click pathnot Dagger
  • Demonstrating a form-heavy or data-driven flow to stakeholders before any code existsnot Dagger
  • Testing a mobile interaction on the physical device it is designed for, with correct gesture behaviournot Dagger
  • Validating a concept for a client who needs to feel the product, not watch a video of itnot 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

Proto.io

  • Prototypes live in the vendor cloud and offline export is a higher-tier feature, so the ability to archive completed client work is a plan-level decision rather than a given
  • Design is done elsewhere and interaction is rebuilt here, so every change to the visual design has to be reapplied by hand and the two artefacts drift apart
  • The event and condition model is layer based, so a genuinely complex flow becomes a large tree of triggers that nobody but its author can audit
  • Editor seats are priced individually and viewer access is limited on lower plans, so opening review to a wide stakeholder group pushes you up a tier for people who never edit anything
  • The market standardised on Figma, so hiring people who already know Proto.io is progressively harder and every new researcher is a training cost

Pricing, plan by plan

Dagger

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

Proto.io

On request
  • FreelancerOn request
    • Single editor
    • Limited active projects
    • Standard sharing
  • StartupOn request
    • Multiple editors
    • More projects
    • Team library
  • AgencyOn request
    • Higher project and storage limits
    • Client sharing controls
  • CorporateOn request
    • Largest quotas
    • Offline export on higher tiers
    • Priority support

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.

Choose Proto.io if

  • You need event and condition system.
  • You work on Web, iOS, Android.
  • You also want timeline animation.

Questions people ask

Is Dagger or Proto.io better?
Neither clearly leads. Dagger starts at Free and Proto.io at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dagger or Proto.io?
Dagger has a free tier; the other does not. Paid plans start at Free for Dagger and On request for Proto.io.
Does Dagger or Proto.io run on more platforms?
Dagger runs on Linux, macOS, Windows, Self-hosted. Proto.io runs on Web, iOS, Android.
Can I use Dagger for free?
Yes. Dagger has a free tier, so you can try it without paying. Proto.io starts at On request.
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 Proto.io is typically brought in for.
What can Dagger do that Proto.io cannot?
Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Proto.io covers Event and condition system, Timeline animation, Device preview, Component library.

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.

Proto.io: Can it replace Figma?

No. It has no design system or file-handoff role. It sits alongside Figma for the prototypes Figma cannot express.

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.

Proto.io: What happens to prototypes if we stop paying?

They stop being accessible unless you have exported them, and offline export is restricted to higher plans, so plan archiving before you cancel.

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.

Proto.io: Is it worth learning now that InVision has gone?

If your work is usability research on conditional flows, yes. If you need click-through demos of static screens, Figma already does that at no extra cost.

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.

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