Plotly Professional Services
Dash Enterprise is the low-code platform for data apps. Plotly Professional Services are the data app experts.
Data App Development
Analytical Dash apps are the human interface layer for data, analytics, AI, and ML. Our clients choose Plotly for delivering data apps because we're unbeatable in 3 core areas.
- Speed and efficiency of delivery: Our customers are consistently blown away by our beautiful and responsive analytical apps delivered in days, not months.
- Expertise: We have worked on hundreds of projects in the finance, tech, oil & gas, manufacturing, and government sectors. Your project can’t be in better hands.
- Future Proof: We use open source technologies and utilize frameworks like Python and R that data scientists already use and understand.
Software Development
Using the Dash Enterprise framework, we transform your models and ideas into polished apps that integrate into your organization's internal processes and systems.
Sponsored Features
Over the last 7 years, organizations have stepped up to sponsor mission-critical features in our open source and enterprise products. Here are some of our favorites.
Plotly.js OSS
A high-level, declarative charting library, Plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. It serves as the baseline for Dash. See what’s available for sponsorship!
Shape Drawing
Create, modify, and transform new shapes like rectangles, lines, and freehand paths directly in the Plotly.js modebar
Mapbox Integration
Easily plot Mapbox GL maps with Plotly.js, which supports image exports, streaming, hover text, default/custom mapbox styles and more.
Parcoords
Parallel coordinates (Parcoords) for multivariate data can be plotted with panel trellising and interactive slope diagrams.
Sankey Diagrams
With interactive node grouping, Plotly.js Sankey Diagrams adjust with the user’s mouse selection
Carpet Plots
Using 2D or 1D arrays, Carpet Plots are ideal for visualizing multiple independent variables and one or more dependent variable.
World Calendars
With support for Gregorian and non-Gregorian calendars, the Plotly.js world calendar component can be used globally without a hitch.
Dash OSS
Downloaded over 350,000 times per month, Dash is the most downloaded, trusted framework for building ML & data science web apps. Check out OSS features for sponsorship!
Pleasant & Productive Development Experience
Hot reloading, unminified component bundles support, and detailed front-end error messages are now available for a seamless dev experience.
DataTable
This interactive table component supports strings, numbers, and dates as data types; hidden columns; and easy exporting into excel/csv.
Tabs
A first class Tabs component built from the ground up. Supports custom styling and class names, server side updates, and clientside caching.
Confirmation Modal
Before a callback is fired, you can add an extra step in the UI containing text like “Are you sure?.
Loading States
Easily customize loading messages at the start of the callbacks to display a particular message or cite the component name or property.
Callback DAG in UI
Directed Acyclic Graph (DAG) trees are available in dev tools to help visualize callback chains.
Dash Enterprise
A platform for rapid Dash app development. Operationalize data science, AI, and ML models and deliver at scale.
Embedded Middleware
Embed Dash in existing web apps or products like Salesforce reports. Dash app embedding is the fastest way to add AI to any product or platforms.
Reliability
Ensure performance of Dash apps on Dash Enterprise’s architecture. No IT or Helm required.
Snapshot Engine
Save & share Dash app views as links or PDFs. Or, run a Python job through Dash and have Snapshot Engine email a report when the job is done.
Dashboard Engine
Recently sponsored this summer, the Dashboards Toolkit will bring drag and drop to Dash Enterprise to give end users ultimate flexibility.
Meet some of our experts!
Nathan Drezner
Nathan Drezner
Emily Kellison-Linn
Emily Kellison-Linn
Hannah Ker
Hannah Ker
Tammy Do
Solutions Architect
Tammy Do
Solutions Architect
Alex Hsu
Alex Hsu
Cléa Aumont
Solutions Architect
Cléa Aumont
Solutions Architect
Amira Doghri
Junior Solutions Architect
Amira Doghri
Junior Solutions Architect
Recent Projects
Orica - BlastIQ
- Orica was looking to improve the blasting and drilling processes at one of their customer's mining operations. They needed to better visualize the execution of actual vs design blast data. Plotly's Professional Services team delivered a Dash app that provided valuable information on the implementation against design tolerances to establish a benchmark for improvement.
Dex Clothing - MNIST Explorer
- Dex Clothing needed to optimize their garment-sorting process. Plotly's Professional Services helped Dex implement an AI visual search system to better categorize their garment images. The result of this Dash app was an automated image categorization process and streamlined supply chain operations.
S&P - Trucost
- Plotly's Professional Services helped S&P transition to Python and build rich interactive reports through Dash Enterprise, streamlining their workflow.
Major Canadian Retailer
- A major Canadian retailer wanted to elevate their inventory management system. They needed an automated way to analyze seasonality, location, and consumer buying behaviour. Plotly's Professional Services created a Dash app that utilizes Sankey data vis to solve the demand transference problem and optimize their retail operations.
Databricks-Dash
- Plotly Professional Services produced a video demonstrating how to build Dash apps with Databricks via the databricks-sql python connector and what the advantages are for integrating them.
Dash Best Practices
- In this webinar, Plotly Professional Services provided best practices and answered commonly asked questions related to UI/UX, data connections, compute, and performance.
See Dash in action.
Sign up for a live demo to learn more about our Dash Enterprise offering.
JOIN THE THOUSANDS OF INNOVATORS THAT ARE ALREADY BUILDING WITH DASH ENTERPRISE.
