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Developer Tools · head to head

Daytona vs Frappe

Daytona logo

Daytona

Developer Tools

Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code

From
Free
Rated
-
Full reviewWebsite
Frappe logo

Frappe

Developer Tools

The Python web framework behind ERPNext, sold as managed hosting through Frappe Cloud

From
Free
Rated
-
Full reviewWebsite

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.; Frappe the framework is strongly opinionated: its own ORM, templating and job queue mean general Python and Django experience transfers only partly, and onboarding a new developer takes weeks rather than days.
  • They diverge on capability: Daytona covers Sub-second sandbox creation, Frappe covers DocType modelling.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Daytona and Frappe actually diverge.

Attributes where Daytona and Frappe differ
AttributeDaytonaFrappe
Pricing modelusage-basedPer month by site or server
Platformsweb, linux, windows, apiWeb, Linux, Docker

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 Frappe

  • DocType modelling
  • Role and field permissions
  • Built-in REST API
  • Background jobs
  • Bench CLI
  • Frappe Cloud hosting
  • App marketplace
  • Multi-tenancy

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 Frappe
  • Executing untrusted user code for a coding platformnot Frappe
  • Running GPU workloads on demand without provisioning dedicated serversnot Frappe
  • Testing Windows-specific code paths in a sandboxnot Frappe

Frappe

  • A team building an internal business application that needs permissions, audit trail and an API on day one rather than in month threenot Daytona
  • An ERPNext user who wants managed hosting, automatic updates and offsite backups without hiring a systems administratornot Daytona
  • An Indian or emerging-market business that wants to pay for application hosting in local currency at local price pointsnot Daytona
  • A consultancy shipping custom vertical apps to clients on a shared framework with per-client site isolationnot 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.

Frappe

  • The framework is strongly opinionated: its own ORM, templating and job queue mean general Python and Django experience transfers only partly, and onboarding a new developer takes weeks rather than days.
  • The developer pool is small and heavily concentrated in India, so hiring Frappe experience elsewhere is slow and expensive relative to mainstream stacks.
  • Documentation is uneven in depth and lags behind releases in places, so real answers often come from reading the source or the community forum.
  • Major version upgrades of the framework have historically broken custom apps that reach past the DocType layer, so bespoke code carries a recurring maintenance cost at each upgrade.
  • Frappe Cloud recommends against its cheapest Hetzner-backed option for mission-critical production, so the headline $5 entry price is not the price of a production-grade deployment.

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

Frappe

Free
  • Framework, self-hostedFree
    • MIT licensed, no licence fee
    • Install with bench on your own Linux servers
    • You carry updates, backups and security patching
  • Frappe Cloud Sites$5/month
    • Also listed at ₹410 per month
    • Shared servers with 150+ installable apps
    • Automatic updates and offsite backups
  • Frappe Cloud Servers$40/month
    • Also listed at ₹3,600 per month
    • Dedicated or shared virtual machines
    • Unlimited sites on your server

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.
Daytona review

Choose Frappe if

  • You need doctype modelling.
  • You want to start without paying.
  • You work on Web, Linux, Docker.
  • You also want role and field permissions.
Frappe review

Questions people ask

Is Daytona or Frappe better?
Neither clearly leads. Daytona starts at Free and Frappe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Daytona or Frappe?
Daytona starts at Free and Frappe at Free.
Does Daytona or Frappe run on more platforms?
Daytona runs on web, linux, windows, api. Frappe runs on Web, Linux, Docker.
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 Frappe is typically brought in for.
What can Daytona do that Frappe cannot?
Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. Frappe covers DocType modelling, Role and field permissions, Built-in REST API, Background jobs.

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.

Source
Frappe: Is Frappe the same as ERPNext?

No. Frappe is the framework; ERPNext is the ERP application written on it. You can run Frappe without ERPNext to build your own applications.

Daytona: 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.

Source
Frappe: What licence is the framework under?

MIT, which is permissive and imposes no obligation to publish your changes, unlike the AGPL used by several open source ERP rivals.

Daytona: Are discounts available for startups?

Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.

Source
Frappe: Can I pay in rupees?

Yes. Frappe Cloud publishes the same plans in Indian rupees, ₹410 a month for sites and ₹3,600 for servers, rather than converting a dollar price at checkout.

Frappe: Do I have to use Frappe Cloud?

No, self-hosting with bench or Docker is fully supported and free. Frappe Cloud is a convenience purchase, and it funds the open source work.

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