Daytona vs Kaggle Notebooks
Daytona
daytona.io
Kaggle Notebooks
kaggle.comSide by side
| Figure | Daytona | Kaggle Notebooks |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 9 | 2 |
| Spec score · Coding Playgrounds | 9.2 (#8) | 8.7 (#20) |
| Company founding | Daytona's own about page says the company was founded in 2023. | LinkedIn lists Kaggle as founded in 2010. |
| Company headquarters | Crunchbase lists Daytona's headquarters in New York, New York, United States. | LinkedIn lists San Francisco, California as headquarters. |
| Company legal name | Crunchbase lists the legal name as Daytona Platforms Inc. | Crunchbase lists the legal name as Kaggle Inc. |
| Company size | LinkedIn lists Daytona as a privately held software-development company with 11–50 employees. | LinkedIn lists Kaggle's company size as 11–50 employees. |
| Documentation depth | The official docs cover platform concepts, sandbox classes, agent tools, human tools, webhooks, security, observability, deployments, SDK references and CLI usage. | Official documentation covers notebooks, packages, GPU usage, TPU usage, models, API access, benchmarks, scheduling, and Jupyter Server connections. |
| Public API | Daytona publishes an API reference at app.daytona.io/api and documents bearer-key REST calls. | Kaggle documents API tokens, OAuth 2.0 Authorization Code with PKCE, dynamic rate limiting, and command-line automation. |
| Rating on G2 | 4.3 out of 5 from 24 reviews. | 4.7 out of 5 from 34 reviews |
| What it does | Daytona provides secure, elastic infrastructure for executing AI-generated code inside isolated sandboxes. | Kaggle Notebooks is a cloud environment for reproducible, collaborative machine-learning and data-analysis code. |
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
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.
Kaggle Notebooks
Kaggle Notebooks has no write-up on Specifiction yet; its figures are above.