Home/Compare/atmos vs daytona

Comparison

atmos vs daytona

Verdict

Pick atmos when tags unique to atmos: automation, cli, cloud, devops; pick daytona when requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests..

Markdown twin · atmos alternatives · daytona alternatives

GraphCanon updated today

atmos logo

atmos

cloudposse/atmos

1.3kpushed Jul 15, 2026
vs
daytona logo

daytona

daytonaio/daytona

72kpushed Jul 9, 2026

Trust & integrity

Signalatmosdaytona
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (1d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

atmos
👽 Terraform Orchestration Tool for DevOps. Keep environment configuration DRY with hierarchical imports of configurations, inheritance, and WAY more. Native support for Terraform and Helmfile.
daytona
Secure and Elastic Infrastructure for Running AI-Generated Code

Stars

atmos
1.3k
daytona
72k

Forks

atmos
172
daytona
5.7k

Open issues

atmos
277
daytona
444

Language

atmos
Go
daytona
-

Adopt for

atmos
-
daytona
Daytona, known for its secure and elastic infrastructure tailored specifically to run AI-generated code, stands distinct in the developer tools landscape.

Persona

atmos
-
daytona
-

Runtime

atmos
-
daytona
-

License

atmos
Apache-2.0
daytona
The license details for Daytona are unknown at present.

Last pushed

atmos
Jul 15, 2026
daytona
Jul 9, 2026

Categories

atmos
AI Agents, Developer Tools
daytona
AI Agents, Developer Tools

Trust and health

Days since push

atmos
0d
daytona
1d

Open issues (now)

atmos
277
daytona
444

Full report

Choose atmos if…

  • Tags unique to atmos: automation, cli, cloud, devops.
  • More recently updated (last pushed Jul 15, 2026).

When NOT to use atmos

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Choose daytona if…

  • Requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests..
  • Tags unique to daytona: agentic-workflow, ai-runtime, ai-sandboxes, code-execution.
  • When your project requires running AI-generated code securely and you need an on-demand scalable environment that adjusts automatically based on demand.

When NOT to use daytona

  • Avoid using Daytona if you have strict requirements for the programming languages it supports, since this information is currently unknown.
  • Daytona might not be suitable if your development workflow does not require API access or an online dashboard, as its user interface and API integration are key components.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: atmos 1.3k · daytona 72k (synced Jul 15, 2026).

Common questions

What is the difference between atmos and daytona?
atmos: 👽 Terraform Orchestration Tool for DevOps. Keep environment configuration DRY with hierarchical imports of configurations, inheritance, and WAY more. Native support for Terraform and Helmfile.. daytona: Secure and Elastic Infrastructure for Running AI-Generated Code. See the comparison table for live GitHub stats and shared categories.
When should I choose atmos over daytona?
Choose atmos over daytona when Tags unique to atmos: automation, cli, cloud, devops; More recently updated (last pushed Jul 15, 2026).
When should I choose daytona over atmos?
Choose daytona over atmos when Requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests.; Tags unique to daytona: agentic-workflow, ai-runtime, ai-sandboxes, code-execution; When your project requires running AI-generated code securely and you need an on-demand scalable environment that adjusts automatically based on demand.
When should I avoid atmos?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
When should I avoid daytona?
Avoid using Daytona if you have strict requirements for the programming languages it supports, since this information is currently unknown. Daytona might not be suitable if your development workflow does not require API access or an online dashboard, as its user interface and API integration are key components.
Is atmos or daytona more popular on GitHub?
daytona has more GitHub stars (72,233 vs 1,334). Stars measure visibility, not whether either tool fits your constraints.
Are atmos and daytona open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to atmos or daytona?
GraphCanon lists graph-backed alternatives at atmos alternatives and daytona alternatives (atmos markdown twin, daytona markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, atmos or daytona?
atmos: Very active. daytona: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for atmos and daytona?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: atmos trust report; daytona trust report.

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