Developer Tools · head to head
Daytona vs Namespace

Daytona
Developer Tools
Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code
- 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: Daytona pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.; Namespace developer plan is pay-as-you-go only; minimum usage unclear
- They diverge on capability: Daytona covers Sub-second sandbox creation, Namespace covers Devboxes.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Daytona 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 Daytona
- Sub-second sandbox creation
- Per-second billing
- GPU instances
- Windows OS support
- Enterprise BYOC
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.
Daytona
- Running AI agent-generated code in a disposable, isolated sandboxnot Namespace
- Executing untrusted user code for a coding platformnot Namespace
- Running GPU workloads on demand without provisioning dedicated serversnot Namespace
- Testing Windows-specific code paths in a sandboxnot Namespace
Namespace
- Providing AI coding agents with cloud-based development environmentsnot Daytona
- Accelerating CI builds with faster GitHub Actions runnersnot Daytona
- Distributing builds across teams with managed infrastructurenot Daytona
- Scaling development velocity for monorepo organizationsnot Daytona
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Daytona
- Pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.
- GPU instances are priced separately and can be significantly more expensive than standard compute for AI-heavy use cases.
- Enterprise features like SSO, audit logs, and BYOC are only available by contacting sales rather than self-serve.
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 $0.004/minute could add up quickly
- Enterprise plan requires custom sales conversation
Pricing, plan by plan
Daytona
Free- Pay-as-you-go$undefined/mo
- $0.0504 per vCPU/hour
- $0.0162 per GiB memory/hour
- $0.000108 per GiB storage/hour after 5 free GiB
- Startup Program$undefined/mo
- Up to $50,000 in free credits for qualifying startups
- Enterprise$undefined/mo
- Custom usage limits
- SSO
- Audit logs
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 Daytona if
- You need sub-second sandbox creation.
- You want to start without paying.
- You work on web, linux, windows, api.
- You also want per-second billing.
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 Daytona or Namespace better?
- Neither clearly leads. Daytona 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, Daytona or Namespace?
- Daytona starts at Free and Namespace at Free.
- Does Daytona or Namespace run on more platforms?
- Daytona runs on web, linux, windows, api. Namespace runs on Cloud, Mac, Windows, Linux.
- Can I use Daytona for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Daytona best used for?
- Daytona is most often used for running ai agent-generated code in a disposable, isolated sandbox, executing untrusted user code for a coding platform, running gpu workloads on demand without provisioning dedicated servers, testing windows-specific code paths in a sandbox. Of those, running ai agent-generated code in a disposable, isolated sandbox and executing untrusted user code for a coding platform are not what Namespace is typically brought in for.
- What can Daytona do that Namespace cannot?
- Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. Namespace covers Devboxes, GitHub Actions runners, Docker builds, Cross-invocation caching.
Answered from the vendors’ own pages
Daytona: How is Daytona usage metered?
Usage is billed per second across vCPU, memory, and storage consumed, with separate per-hour rates for GPU and Windows instances.
SourceNamespace: 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.
SourceDaytona: Is there a free plan, and what are its limits?
There is no flat free plan, but new signups receive $200 in free compute credit with no credit card required to start.
SourceNamespace: 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.
SourceDaytona: Are discounts available for startups?
Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.
SourceNamespace: 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.
SourceRelated pages
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- Namespace vs Coder
- Namespace vs Ona (formerly Gitpod)
- Namespace vs WarpBuild
- Namespace vs Sweep
- Namespace vs Turborepo
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