Creating shareable data visualization reports has traditionally been slow and complex. Datapane solves this problem by helping the open-source ecosystem replace clunky UI-based tools. This makes it easier to create and share Python analyses.
Datapane takes advantage of a key gap in the market. Many data scientists wanted a way of writing code for analysis, visualization, and collaboration, but had no choice but had to use existing drag-and-drop proprietary software like Tableau. Datapane's platform is also faster and easier to use than rival solutions such as dash and Flask. This has enabled Datapane to stay competitive in this high-growth market, and to attract big-name clients like US Bank and GE Healthcare.
Recently, the company has been working hard at innovating their platform, creating tools to give data scientists more control over the look and layout of their reports. This sort of development will allow Datapane to scale and retain their customer base.
Kirsty
Company Specialist at Welcome to the Jungle