DevToolsDaily Playgrounds vs Lightning AI Studios
DevToolsDaily Playgrounds
devtoolsdaily.comLightning AI Studios
lightning.aiSide by side
| Figure | DevToolsDaily Playgrounds | Lightning AI Studios |
|---|---|---|
| Price from | $4.99/mo | $20/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 9 |
| Spec score · Coding Playgrounds | 7.8 (#77) | 9.3 (#6) |
| Free plan | Yes | Yes |
| Purpose | The online playgrounds let users write and run code without setup, with some languages running in-browser and others on a server. | AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. |
| Security | The privacy policy says no method of internet transmission or electronic storage is completely secure and it cannot guarantee absolute security. | Lightning says it is SOC 2 compliant for AWS and GCP clouds in all regions. |
| Sharing controls | link_access | access_control |
| Support | The contact page provides [email protected] and links to LinkedIn and Twitter for direct messages. | Lightning lists email, Discord, and Twitter as support channels, and a dedicated Slack channel for enterprise support. |
Plans
Lightning AI Studios
- FreeFree
- FreeFree
- Pro$20 a month
- Pro (annual)$20 a month
- Pro (monthly)$50 a month
- Teams$119 a month
- Teams (annual)$119 a month
- Teams (monthly)$140 a month
- EnterprisePriced on request
In their own words
DevToolsDaily Playgrounds
DevToolsDaily Playgrounds has no write-up on Specifiction yet; its figures are above.
Lightning AI Studios
Lightning AI Studios is a cloud workspace for training models, running inference, building agents and AI apps, and coding collaboratively. Its persistent environments save installed packages, custom Python versions, and downloaded files. Studios offer browser-accessible VS Code and JupyterLab, plus AI copilots for AI and machine-learning work, including CUDA and PyTorch debugging. Teams can collaborate in real time on private projects, use a full-stack runtime, and deploy full-stack applications. Users can connect S3 buckets and EFS volumes through Lightning Drive, import models from Hugging Face and GitHub, or connect local IDEs such as VS Code, Cursor, and PyCharm over SSH. An SDK supports workflow automation. The Free plan is free and includes one active Studio, 50 GB persistent storage, and up to two concurrent GPUs; that Studio requires a restart every four hours. Pro and Teams plans have higher storage and GPU limits. Enterprise offers deployment in a customer VPC using AWS or GCP cloud credits.