Dash (Plotly) #25
metaperl
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Framework Discussion: Specific
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https://www.reddit.com/r/Python/comments/1effrss/15_new_and_impressive_components_for_plotly_dash/ |
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https://www.reddit.com/r/Python/comments/1fjk4x8/opensource_dash_app_that_features_dashboards_with/ |
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Dash
Dash is the most downloaded, trusted Python framework for building ML & data science web apps.
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial (proudly crafted ❤️ with Dash itself).
Docs: Create your first Dash app in under 5 minutes
dash.gallery: Dash app gallery with Python & R code
Dash App Examples
To learn more about Dash, read the extensive announcement letter or jump in with the user guide.
Dash OSS & Dash Enterprise
With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.
Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team.
ML Ops Features: A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT or DevOps required.
Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity.
Enterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.
See https://plotly.com/contact-us/ to get in touch.
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