DataStories

6.4easy start · #18 of 22
in Data Storytelling Tools

Free to practise onnot on record
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on Android, api, Browser, iOS, Linux, Mac, self-hosted, Web, Windows.

DataStories is ranked #18 of 22 in data storytelling tools on The Geeks Club. It runs on Android, API, Browser extension, iOS, Linux, macOS, Self-hosted, Web, Windows. There is no free plan.

Compared on data storytelling tools

Free plan: No
Interactive visualizations: Yes
Presentation flow: Yes

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The record

Product: DataStories describes its platform as augmented analytics and predictive analytics software for generating data insights without prior data-science experience.
Stories: The platform turns data into interactive stories that users can interpret, act on, communicate, and share.
Analysis: The platform supports regression and binary-classification problems and can predict multiple KPIs simultaneously.
Outputs: Users can optionally generate PowerPoint slides containing the story slides available on the platform.
Input data: The platform accepts structured tabular Excel, CSV, and TXT data, with a 40 MB maximum file size and a minimum of 20 data rows.
Integration: The DataStories library provides access to its computational engine through Python or Jupyter.
SDK integrations: The SDK documentation offers tutorials for integration with MLflow, Databricks, and standalone dashboards.
Security and hosting: The maker says its cloud service is hosted on AWS servers in Ireland and that uploaded data and results are not moved outside the European Union.
Data ownership: DataStories says it claims no intellectual-property rights over submitted data and that uploaded datasets and generated results are accessible only to the user unless shared.
Local installation: The platform is available as a standalone installation on a local workstation starting with the Pro version.
Support: The help site directs users to a website or platform chat bubble and [email protected] for questions.
System requirements: The help site specifies a modern browser, screen resolution of at least 1366×768, and at least 8 GB of RAM, with more RAM for larger or more complex datasets.
Audience: The product pages position the platform for business experts, scientists, and engineers, while the Python/Jupyter library is aimed at data scientists, data engineers, and coding-minded professionals.
Maker and location: The contact page identifies DataStories International NV and lists its address in Turnhout, Belgium.

Where it ranks on The Geeks Club

Best Data Storytelling Tools in 2026#18 of 22

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Sources

datastories.com/products/platform/· checked 4 Oct 2026
help.datastories.com/create_story.html· checked 4 Oct 2026
help.datastories.com/faq.html· checked 4 Oct 2026
datastories.com/products/python-sdk/· checked 4 Oct 2026
help.datastories.com· checked 4 Oct 2026
datastories.com/contact/· checked 4 Oct 2026