Developer Tools · head to head
Dagger vs Namespace

Dagger
Developer Tools
Programmable CI/CD engine that runs your pipeline as containers on any runner
- From
- Free
- Rated
- -

Namespace
Developer Tools
The dev platform for the next 100 billion commits
- From
- Free
- Rated
- -
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.; Namespace developer plan is pay-as-you-go only; minimum usage unclear
- They diverge on capability: Dagger covers Pipelines as code, Namespace covers Devboxes.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dagger and Namespace actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Developer Tools).
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 Namespace
- Devboxes
- GitHub Actions runners
- Docker builds
- Cross-invocation caching
- NVMe storage
- High-speed networking
- Multiple OS support
- Bazel and Turborepo support
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 Namespace
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Namespace
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Namespace
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Namespace
Namespace
- Providing AI coding agents with cloud-based development environmentsnot Dagger
- Accelerating CI builds with faster GitHub Actions runnersnot Dagger
- Distributing builds across teams with managed infrastructurenot Dagger
- Scaling development velocity for monorepo organizationsnot 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.
Namespace
- Developer plan is pay-as-you-go only; minimum usage unclear
- Team plan $100/mo is competitive but usage limits may be tight
- Devbox pricing separate at $0.004/minute could add up quickly
- Enterprise plan requires custom sales conversation
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
Namespace
Free- DeveloperFree
- Pay-as-you-go
- On-demand compute
- Docker builds
- Team$100/month
- 100,000 unit minutes
- 1,000 Docker builds
- Everything in Developer
- Business$250/month
- 250,000 unit minutes
- 2,500 Docker builds
- Everything in Team
- Enterprise$undefined/custom
- Custom compute/Docker build limits
- Audit log export
- Enterprise SSO
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 Namespace if
- You need devboxes.
- You want to start without paying.
- You work on Cloud, Mac, Windows, Linux.
- You also want github actions runners.
Questions people ask
- Is Dagger or Namespace better?
- Neither clearly leads. Dagger starts at Free and Namespace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagger or Namespace?
- Dagger starts at Free and Namespace at Free.
- Does Dagger or Namespace run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. Namespace runs on Cloud, Mac, Windows, Linux.
- 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 Namespace is typically brought in for.
- What can Dagger do that Namespace cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Namespace covers Devboxes, GitHub Actions runners, Docker builds, Cross-invocation caching.
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.
Namespace: How is compute usage metered on the Developer plan?
Developer plan uses pay-as-you-go billing. Devboxes bill at $0.004 per minute. Storage and caching services have separate usage-based fees. A 30-day free trial is available to test usage patterns.
SourceDagger: 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.
Namespace: What is the difference between Team and Business plans?
Team ($100/mo) includes 100,000 unit minutes and 1,000 Docker builds with email support. Business ($250/mo) includes 250,000 unit minutes, 2,500 Docker builds, and high concurrency with a dedicated Slack channel.
SourceDagger: 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.
Namespace: Can Namespace support AI coding agents?
Yes, Namespace Devboxes are specifically designed as feature-rich development environments for AI coding agents, with full tooling and performance optimization.
SourceDagger: 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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