PlotHost is a platform for hosting and sharing Jupyter notebooks and plots. It allows users to easily publish interactive plots, share them with others, and embed them into webpages. The service is focused specifically on plots and notebooks rather than general file hosting.
PlotHost: Jupyter Notebooks and Plots Hosting Platform
Publish interactive plots, share with others, and embed into webpages - PlotHost is a specialized platform for hosting and sharing Jupyter notebooks and plots.
What is PlotHost?
PlotHost is an online platform designed specifically for hosting, sharing, and embedding interactive plots and Jupyter notebooks. Some key features of PlotHost include:
User-friendly interface for uploading Jupyter notebooks and SVG, PNG, or Vega/Vega-Lite plots
Automatic rendering of plots and notebooks upon uploading
Permalink URLs for easy sharing and embedding of content
Options for making content publicly accessible or private
Support for Vega and Vega-Lite plots out-of-the-box, allowing for interactivity like panning, zooming, and tooltip display
Menu for customizing plot sizing and styling when embedding into webpages
5GB of free storage for user-generated plots and notebooks
Additional storage available through affordable subscription plans
Importing notebooks from GitHub repositories for easier sharing of existing materials
In summary, PlotHost specializes in providing an easy-to-use platform for creating interactive, shareable plots and Jupyter notebooks for data analysis. The combination of free storage, customizable embedding, and focus specifically on these types of content make it a useful tool for data scientists, analysts, students, and researchers looking to publish and openly share their work.
PlotHost Features
Features
Host and run Jupyter notebooks in the cloud
Convert notebooks to shareable, interactive plots
Embed plots into webpages with a simple code snippet
Real-time collaboration on notebooks and plots
Version control and history for notebooks
Public and private sharing options
Customizable themes and branding
REST API and Python SDK
Pricing
Freemium
Subscription-Based
Pros
Easy way to publish and share plots/notebooks
Good rendering of matplotlib, plotly, etc plots
Collaboration features
Version control is useful
Embeddable plots are convenient
Cons
Limited free plan
No native mobile apps
Less features than full notebook platforms like Colab
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