What it is

With the DataPlotly plugin for QGIS the user can create fully customized and fully interactive D3 like charts withing QGIS itself. Currently 10 different charts are available (scat GitHub popularity: 208 stars and 60 forks.

Teams can evaluate DataPlotly within its category while keeping the implementation, license, and repository signals visible. Confirm the official documentation against your exact workflow before treating it as a production dependency.

Categories: Data & Analytics
EU domains: Geographic Information Systems Data Analytics Data Visualization
Intended audience: Science And Technology Research Infrastructures Environment
EU catalogue: Developers ItaliaAddonStable
Tags: geographic-information-systems data-analytics data-visualization science-and-technology research infrastructures
Built with: See repository architecture

Who it’s for — and when to skip it

Data teams

Use it when you need transparent storage, processing, querying, or reporting behavior.

Skip if your required connectors or governance controls are not documented.

Backend engineers

Consider it when the data model and APIs can remain portable across your infrastructure.

Skip if migration and backup procedures are unclear.

Analytics owners

Evaluate it when access to queries and source code is more valuable than a closed dashboard workflow.

Skip if nontechnical operators require a fully managed support model.

Strengths and trade-offs

Why teams consider it

qgis

plotly

dataviz

Source code and GPL-2.0-only license are visible before adoption

Repository metrics are available for independent review

What to validate

A public repository does not automatically guarantee a documented self-hosting path

GitHub popularity is not a security, quality, or product-fit guarantee

The GPL-2.0-only license still needs review against your distribution and commercial model

Support quality, migration effort, and production hardening vary by project

Capabilities and stack fit

01qgis

02plotly

03dataviz

04python

Catalog metadata supports discovery, not installation. Verify supported versions, dependencies, deployment topology, and production requirements in the official repository.

Guides for DataPlotly

No project-specific guide is published yet.

Use the learning library to find a guide by technology, category, or difficulty.

Browse guides

Approved community reviews

No approved review signal yet.

We do not display synthetic testimonials or ratings without sufficient moderated data.

Before you adopt it

01
Read the license and confirm it fits your intended use and distribution model.
02
Review recent commits, open issues, releases, and the maintainer response pattern.
03
Run a small proof of concept with representative data, users, and integrations.
04
Confirm whether an official deployment or self-hosting guide exists.
05
Document an export or migration path before storing critical data.

DataPlotly