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Dagger vs Teamhood

Dagger logo

Dagger

Developer Tools

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

From
Free
Free plan
Yes
Visit DaggerFull review
Teamhood logo

Teamhood

Project Management

Visual project management for teams of all sizes

From
Free
Free plan
Yes
Visit TeamhoodFull review

The short version

  • Teamhood is a visual project management platform.
  • Free plans on both; paid from $50/mo and €9/mo.
  • Only Dagger lists pipelines as code; only Teamhood lists kanban boards.
  • Where Teamhood falls short: the free plan caps storage at 100 MB.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Dagger and Teamhood actually diverge.

Attributes where Dagger and Teamhood differ
AttributeDaggerTeamhood
Pricing modelPer month per team for Dagger CloudSubscription
PlatformsLinux, macOS, Windows, Self-hostedWeb, iOS, Android
CategoryDeveloper ToolsProject Management

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: founded for Dagger.

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 Teamhood

  • Kanban boards
  • Gantt charts
  • Workload view
  • Time tracking
  • Reports
  • Slack
  • Microsoft Teams
  • Google Calendar

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

Teamhood

  • Team project and task managementnot Dagger
  • Workload and portfolio managementnot 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

Teamhood

  • The free plan caps storage at 100 MB
  • Time tracking, reporting, custom fields and workload management all require the Team plan
  • Automation runs are metered monthly, at roughly 50 on Team, 200 on Business and 500 on Enterprise
  • API access is Business only and rate limited to 100 requests a minute
  • Paid plans carry a 3 user minimum and Enterprise a 25 user minimum
  • SSO, SAML and SCIM are Enterprise only with no published price

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

Teamhood

Free
  • PersonalFree
    • Up to 10 users
    • Teamhood AI
    • Unlimited projects
  • Team€9/mo
    • Billed annually (€14/month if monthly)
    • Time tracking
    • Workload management
  • Business€18/mo
    • Billed annually (€22/month if monthly)
    • Portfolio reports
    • Private boards
  • EnterpriseOn request
    • Custom pricing
    • Flexible data hosting
    • Dedicated 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.
Dagger review

Choose Teamhood if

  • You need kanban boards.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want gantt charts.
Teamhood review

Questions people ask

Is Dagger or Teamhood better?
Neither clearly leads. Dagger starts at Free and Teamhood at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dagger or Teamhood?
Dagger starts at Free and Teamhood at Free.
Does Dagger or Teamhood run on more platforms?
Dagger runs on Linux, macOS, Windows, Self-hosted. Teamhood runs on Web, iOS, Android.
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 Teamhood is typically brought in for.
What can Dagger do that Teamhood cannot?
Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Teamhood covers Kanban boards, Gantt charts, Workload view, Time tracking.

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.

Teamhood: How much does Teamhood cost?

Teamhood offers a free Personal plan and paid plans from €9/month (annual billing) or €14/month (monthly) for Team tier.

Source
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.

Teamhood: Is there a free trial for Teamhood?

Yes, Teamhood provides a 14-day free trial for paid plans without requiring a credit card.

Source
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.

Teamhood: What are Teamhood's pricing differences between annual and monthly billing?

Team tier is €9/month with annual billing or €14/month with monthly billing. Business tier is €18/month annually or €22/month monthly. Annual plans save approximately 35%.

Source
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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