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SPECIFICTION
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Observable vs Paperspace Gradient

Observable

observablehq.com

Paperspace Gradient

paperspace.com

Side by side

FigureObservablePaperspace Gradient
Price from$22/mo$8/mo
Free planYesYes
Free trial——
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hostedYesYes
Plans published417
Spec score · Coding Playgrounds8.4 (#34)9.1 (#10)
Free planYesYes
Private projectsYesYes
PurposeObservable notebooks are lightweight documents for analyzing and visualizing data, explaining ideas with code, and supporting data-driven workflows with custom apps.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.
SupportThe pricing page lists standard support for Free, priority support for Pro and Team, and dedicated support for Enterprise.Paperspace lists free ticket-based support seven days a week and contract-based enterprise support with infrastructure assistance and customer success managers.

Plans

Observable

  • FreeFree
  • Pro$22 a month
  • TeamPrice not published
  • EnterprisePriced on request

Observable pricing →

Paperspace Gradient

  • Free (Individual)Free
  • Pro (Individual)$8 a month
  • Growth (Individual)$39 a month
  • Free (Team)Free
  • Pro (Team)$12 a month
  • Growth (Team)$39 a month
  • T0Free
  • T1$12 a month
  • FreeFree
  • FreeFree

Paperspace Gradient pricing →

In their own words

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.

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Paperspace Gradient

Paperspace Gradient is a machine learning platform for building, tracking, and collaborating on models. Its browser-based IDE launches GPU-enabled Jupyter notebooks; teams can share projects, invite collaborators, and connect GitHub to manage code and compute resources. Notebook environments run in Docker containers. For deployment, Gradient serves models through API endpoints, with runtime, instance-type, and autoscaling choices. On-demand GPU and IPU instances are available, and paid instance utilization can cost extra beyond plan fees. Gradient supports major machine learning frameworks and libraries. Plans include free options and paid options listed from $8/mo; individual and team plans have different storage allowances, and notebook plans specify limits on notebooks and running sessions. Gradient is offered for beginners, ML/AI engineers, data scientists, researchers, teams, research groups, and startups. Paperspace also lists a Windows, macOS, and Linux beta desktop app, along with centralized permissions and activity logs.

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