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Code.org Web Lab vs Lightning AI Studios

Code.org Web Lab

code.org

Lightning AI Studios

lightning.ai

Side by side

FigureCode.org Web LabLightning AI Studios
Price fromFree$20/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published19
Spec score · Coding Playgrounds8.1 (#57)9.3 (#6)
Founded2013Lightning AI says founder William Falcon started the company in 2019 with Luis Capelo when it was called Grid.ai.
Free planYesYes
Private projectsYesYes
PurposeWeb Lab lets students build interactive websites and apps with HTML, CSS, and JavaScript, using AI as a co-creator.AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together.
Sharing controlsaccess_controlaccess_control
SupportTeachers and students can report AI Tutor bugs or safety concerns to [email protected] and technical issues to [email protected].Lightning lists email, Discord, and Twitter as support channels, and a dedicated Slack channel for enterprise support.

Plans

Code.org Web Lab

  • FreeFree

Code.org Web Lab pricing →

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

Lightning AI Studios pricing →

In their own words

Code.org Web Lab

Code.org Web Lab has no write-up on Specifiction yet; its figures are above.

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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.

Visit lightning.ai