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SPECIFICTION
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Daytona vs DevPod

Daytona

daytona.io

DevPod

devpod.sh

Side by side

FigureDaytonaDevPod
Price fromFreeFree
Free planYesYes
Free trialYes—
Open source—Yes
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYes—
Self-hostedYesYes
Plans published92
Spec score · Cloud Development Environments9.2 (#1)8.7 (#5)
Company sizeLinkedIn lists Daytona as a privately held software-development company with 11–50 employees.Wellfound lists Loft Labs as a 51–200-person startup headquartered in San Francisco.
FundingRy Walker Research reports a $24 million Series A in February 2026 led by FirstMark, with Datadog and Figma Ventures participating.Wellfound lists $4.6 million raised in one seed round dated September 22, 2021.
Rating on Product Hunt5.0 out of 5 from 17 reviews.5.00 out of 5 from 1 review
What it doesDaytona provides secure, elastic infrastructure for executing AI-generated code inside isolated sandboxes.DevPod creates reproducible developer environments in containers defined by devcontainer.json files.

Plans

Daytona

  • Pay-as-you-goPrice not published
  • Free compute creditFree
  • Start-upsFree
  • StorageFree
  • Memory$0.02 a month
  • Compute vCPU$0.05 a month
  • Windows compute$0.09 a month
  • EnterprisePriced on request
  • Pay as you goPrice not published

Daytona pricing →

DevPod

  • Open sourceFree
  • Open SourceFree

DevPod pricing →

In their own words

Daytona

Daytona provides a secure, elastic runtime for executing AI-generated code and agent workflows. Its homepage states that sandbox creation takes under 90ms, and Daytona describes runtime isolation for code execution. Programmatic controls cover processes, file-system operations, Git integration, and built-in language-server support. SDK examples or interfaces are shown for Python, TypeScript, Ruby, Go, and Java. Listed uses include AI evaluations, code interpreter workloads, coding agents, and data analysis. The product's listed environments include API, Linux, macOS, self-hosted, web, and Windows; its CLI documentation supports macOS, Linux, and Windows. Documentation lists Claude, Cursor, and Windsurf as supported agents. Network options include IP and domain allow lists, outbound blocking, and chained proxies. Organization-scoped secrets are encrypted at rest and injected as placeholders into sandboxes, with plaintext substituted only for allowed HTTPS hosts. Daytona has free offerings and usage-based pricing; compute, memory, storage, and Windows rates are listed, while Enterprise pricing requires contacting sales.

Visit daytona.io

DevPod

DevPod creates repeatable development environments in containers described by devcontainer.json. It can place those environments on the developer’s computer, a reachable remote machine, or a public or private cloud, while the client itself runs locally without a server backend. The software is open source and extensible, with maintained providers for Docker, Kubernetes, SSH, AWS, Google Cloud, Azure, and DigitalOcean; users can also add providers from GitHub, a URL, or a local provider.yaml file. It works with VS Code and the JetBrains suite, and other IDEs can connect over SSH. Prebuilds, automatic shutdown during inactivity, and Git and Docker credential synchronization are included. Machine providers use secure tunnels, including AWS Instance Connect, Google Cloud IAP, and Azure Bastion. DevPod is free, with desktop downloads for macOS, Windows, and Linux and a CLI for macOS, Windows, and Linux on AMD or ARM. Port forwarding depends on an IDE or SSH session.

Visit devpod.sh