Codesphere vs Lightning AI Studios
Codesphere
codesphere.comLightning AI Studios
lightning.aiSide by side
| Figure | Codesphere | Lightning AI Studios |
|---|---|---|
| Price from | — | $20/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 9 |
| Spec score · Coding Playgrounds | 7.5 (#98) | 9.3 (#6) |
| Intended users | The developer platform is described as suitable for regulated fields including finance, public administration, and critical infrastructure. | The pricing page describes Free for students, researchers, and hobbyists; Pro for developers, researchers, and scientists; and Teams for research labs and small teams. |
| Security | The security page describes sandboxed rootless containers, air-gapped deployment options, zero-trust controls, and ISO 27001 and SOC 1 and 2 compliance. | Lightning says it is SOC 2 compliant for AWS and GCP clouds in all regions. |
| Support | The product page lists [email protected] as its support contact. | Lightning lists email, Discord, and Twitter as support channels, and a dedicated Slack channel for enterprise support. |
Plans
Codesphere
- Dedicated installationPriced on request
- Usage-based PaaSPriced on request
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
Codesphere
Codesphere 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.