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Nextjournal vs Paperspace Gradient

Nextjournal

nextjournal.com

Paperspace Gradient

paperspace.com

Side by side

FigureNextjournalPaperspace Gradient
Price from$299/mo$8/mo
Free planYesYes
Free trialYes—
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hostedYesYes
Plans published317
Spec score · Coding Playgrounds8.3 (#44)9.1 (#10)
ComputeThe service provisions a compute instance for each running notebook and shuts it down automatically when computation is done.The platform offers on-demand GPU and IPU instances, with per-second instance pricing described on its product page.
Free planYesYes
PurposeNextjournal describes itself as a notebook for reproducible research and data-driven research.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.
Paid from2998
SupportEnterprise priority support is provided through a team-to-team Slack channel, with responses within 24 hours during the week.Paperspace lists free ticket-based support seven days a week and contract-based enterprise support with infrastructure assistance and customer success managers.

Plans

Nextjournal

  • FreeFree
  • Team$299 a month
  • Enterprise$499 a month

Nextjournal 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

Nextjournal

Nextjournal is a notebook for reproducible research and data-driven work, available on the web or self-hosted. A notebook can combine programming-language runtimes, with values passed between them through files; listed languages include Python, R, Julia, Clojure, Bash, JavaScript, and ClojureScript. Users can edit together in real time and create public or private groups. Automatic saves preserve changes, data, and the runtime environment, with earlier versions available for restoration. Each running notebook gets a compute instance that shuts down when computation finishes, and a runtime can use up to 8 NVIDIA Tesla K80, P100, or P100 Workstation GPUs. Notebooks can access Amazon S3 and Google Cloud Storage, clone private GitHub repositories, and import Docker Hub images. Import formats include Jupyter, IPython, RMarkdown, and Markdown; notebooks can be exported to Markdown. Published notebooks have permanent URLs and can be public or group-limited; viewers can remix read-only published versions. Plans include Free and paid plans from $299/mo, with a 14-day trial.

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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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