Lightning AI Studios vs Observable
Lightning AI Studios
lightning.ai
Observable
observablehq.comSide by side
| Figure | Lightning AI Studios | Observable |
|---|---|---|
| Price from | $20/mo | $22/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 9 | 4 |
| Spec score · Coding Playgrounds | 9.3 (#6) | 8.4 (#34) |
| Founded | Lightning AI says founder William Falcon started the company in 2019 with Luis Capelo when it was called Grid.ai. | 2016 |
| Free plan | Yes | Yes |
| Private projects | Yes | Yes |
| Purpose | AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. | Observable notebooks are lightweight documents for analyzing and visualizing data, explaining ideas with code, and supporting data-driven workflows with custom apps. |
| Support | Lightning lists email, Discord, and Twitter as support channels, and a dedicated Slack channel for enterprise support. | The pricing page lists standard support for Free, priority support for Pro and Team, and dedicated support for Enterprise. |
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
Observable
- FreeFree
- Pro$22 a month
- TeamPrice not published
- EnterprisePriced on request
In their own words
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.
Observable
Observable provides notebooks for analyzing and visualizing data, explaining ideas with code, and building data-driven workflows or custom apps. Notebooks use cells, display live values beside code, and include a dataflow panel for tracing program behavior. Collaboration includes real-time editing, comments, fork-and-merge workflows, fine-grained access, and version history. Built-in inputs include files, databases, secrets, libraries, and other inputs. Hosted connectors cover Redshift, BigQuery, Databricks, Mongo SQL, MySQL, Oracle, PostgreSQL, Snowflake, and SQL Server. Database clients work from private notebooks; sharing or publishing a connector-based notebook revokes that database access. Observable supports web use, local development, self-hosting, custom domains, public sharing, and deployment. Open-source tooling can generate static sites, and notebooks use readable plain text with web-compatible npm libraries. Free costs nothing. Pro is $2,225 a month as listed, billed $22 per month annually or $25 monthly; Team is $4,045 a month as listed.