[ Tech stack ]
Plotly
Declarative interactive charts in Python or JavaScript, plus Dash analytical apps.
Plotly describes a chart as a data-and-layout object that plotly.js renders interactively: zoom, hover, selection and export with no event code to write. In Python, plotly.express builds a figure from a DataFrame in one call, across dozens of chart types including 3D, maps, statistical and financial charts, displayed in Jupyter or exported to HTML and PNG. Dash turns those figures into an analytical web app driven by Python callbacks. It's our choice when a data team has to ship an interactive tool without a dedicated front-end.
[ Why Plotly at Dexon ]
What this technology does well, and why we use it.
Typical usage: Data science notebooks, scientific dashboards, internal analytical apps, interactive HTML reports.
- 01
Interactivity built in: zoom, hover, selection and export with no event code.
- 02
plotly.express: a complete figure in one call from a pandas DataFrame.
- 03
3D, maps, statistical and financial charts, WebGL for large scatter plots.
- 04
Dash: analytical web apps in pure Python, with callbacks and React components.
[ Complementary technologies ]
The building blocks we often mobilise alongside.
A stack rarely exists alone. Here are the technologies Dexon most often pairs with this one, through pipeline habits, usage similarity or internal mastery. Click on a building block to see its scope.
[ Reassurance ]
- 0+
- custom projects delivered
- 30
- engineers, designers, project managers
- 80 %
- from top French schools
- 24 h
- average reply time
[ They trust us ]
More than 100 French and European companies trust us
[ Press ]
They talk about us.
Nationwide coverage by BFM Business, Le Figaro, Challenges, La Tribune and CNews. An outside reading of our work and our innovations.
