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Compiliz vs Lightning AI Studios

Compiliz

compiliz.com

Lightning AI Studios

lightning.ai

Side by side

FigureCompilizLightning 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 Playgrounds7.3 (#119)9.3 (#6)
Free planYesYes
Intended usersThe maker describes Compiliz as useful for students, teachers, interview candidates, developers, and competitive programmers.The pricing page describes Free for students, researchers, and hobbyists; Pro for developers, researchers, and scientists; and Teams for research labs and small teams.
Real-time collaborationYesYes
SecurityThe maker says code runs in isolated Docker containers that are destroyed after execution, with resource limits and security restrictions.Lightning says it is SOC 2 compliant for AWS and GCP clouds in all regions.
Sharing controlslink_accessaccess_control
SupportThe contact page offers a contact form, email, and live chat listed as available 24/7.Lightning lists email, Discord, and Twitter as support channels, and a dedicated Slack channel for enterprise support.

Plans

Compiliz

  • FreeFree

Compiliz 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

Compiliz

Compiliz has no write-up on Specifiction yet; its figures are above.

Visit compiliz.com

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