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Embedding Deployed Apps
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Python and Dash enable PriceLabs to provide property managers with a robust, tailored platform.
Read this user story to learn how the largest independent European asset management firm uses Dash platform for proactive analytics.
Check out some code templates for iconic JMP graphs with Plotly
A U.S. metropolitan transportation authority rapidly produces a ride-planning Dash application to assist passengers with disabilities on over 2,000 rides daily.
When legacy software failed, Gamuda's R&D team relied on Dash to customize a solution to track and monitor the world’s first autonomous tunnel boring machine (A-TBM).
Learn how a billion dollar pharmaceutical company chose Dash for rapid tooling in its machine learning operations.
Learn how a multi-departmental public utility organization decided to move from using open-source Dash to licensing Dash Enterprise and how Dash Enterprise supported their user growth and deployment.
Learn how Utah Jazz uses Dash Enterprise to produce understandable, explorable, and responsive analytics and enable operational/business decisions.
Fortune 500 companies trust Dash Enterprise to deliver interactive Python analytics while saving 95% of the cost compared to full-stack development. Download the e-book to learn more.
Here are some best practice tips curated by Plotly’s Consulting & Training engineers to enhance your experience with Dash and close the gap between Data Science teams and the rest of your organization.
Since the start of COVID-19, we’ve seen a tidal wave Dash apps globally that are helping hospitals, governments, investors, and citizens respond to the outbreak. Download this e-book to learn more.
After installing Dash Enterprise in one of the below environments, you will be asked for a license key to activate the software and begin deploying Dash apps.
Learn how Dash Enterprise, Tableau, Power BI, and Einstein Analytics compare as analytics platforms for data product delivery, deployment & DevOps, ease of use, design, data science integration, security, and support.
Compare low-code, UI layers for AI/ML models according to languages, architecture, deployment, UX, and more.
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