DataStories
DataStories: A broad analytics platform for turning complex datasets into explainable predictive stories. Ranked #15 of 22 in Data Storytelling Tools by our editors (7.5/10); pricing: Paid; best for predictive and explainable analytics stories.
At a glance
- Editor score7.5 / 10
- PricingPaid
- Best forPredictive and explainable analytics stories
- Free planNo
- Interactive visualizationsYes
- Facts checked20 Sep 2026
Where it wins
- Generates predictive insights, anomalies, drivers, and correlations automatically
- Supports what-if analysis, KPI optimization, and interactive visualizations
- Offers Python SDK, API access, exports, and enterprise integrations
Where it doesn't
- No free plan is available
- Pro Pack and Enterprise Pack require contact with sales
- The platform targets complex datasets rather than simple dashboarding
Our verdict on DataStories
DataStories is an augmented analytics platform for business experts, data scientists, and data engineers. It analyzes uploaded tabular data to create predictive insights, explainable machine-learning analyses, correlations, anomaly findings, visualizations, what-if analyses, and machine-learning models. Its intended use cases include complex R&D, manufacturing, operations, and other business datasets. The web platform supports interactive data stories and PowerPoint exports, while the Python SDK supports Jupyter notebooks, custom deployments, and embedded visualizations.
Its strongest differentiator is the combination of predictive analysis and explanation. Automatic predictive insight generation is paired with driver analysis, correlation analysis, anomaly and data-health analysis, and KPI optimization through what-if analysis. This gives teams several ways to move from a dataset to an interpretable narrative instead of stopping at static charts. PowerPoint and model exports extend the output beyond the platform, while Python SDK and API access support data-source connections, story creation, notebooks, and embedded visualizations.
DataStories also fits teams working across Python and enterprise data environments. Listed integrations include Jupyter Notebook, Python, MLflow, and Databricks, and the product is available through web, Windows, API, and self-hosted options. The Cloud Pack includes the cloud platform, a business-user platform, Python SDK, and API access. Pro Pack and Enterprise Pack are sold through contact with sales. Organizations seeking predictive, explainable stories across technical and business workflows should consider DataStories; teams looking only for lightweight visualization or a free starting tier should choose a simpler alternative.
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DataStories pricing
All 3 DataStories plans and prices →
DataStories fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Interactive visualizations | Yes |
| Narrative annotations | Not verified |
| Presentation flow | Yes |
| Live data refresh | Not verified |
| Share mode | Not verified |
| Data source limit | Not verified |
| Deployment | Cloud, Self-hosted, Desktop |
| Platforms | Web, Windows |
| Support | Email, Live chat, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: Jupyter Notebook, Python, MLflow, Databricks |
| Pricing | Paid (source) |
| Website | datastories.com |
| Facts checked | 20 Sep 2026 |
DataStories integrations
DataStories lists 4 integrations on its own site.
- Jupyter Notebook
- Python
- MLflow
- Databricks
Alternatives to DataStories
- FlourishA flexible browser-based toolkit for interactive charts, maps and scrollytelling.9.3
- DatawrapperA versatile choice for interactive data publishing, collaboration, and newsroom-ready exports.9.1
- InfogramA broad web-based toolkit for branded, interactive reports and infographics.9.0
See all DataStories alternatives →
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Featured on iTechGuides
DataStories is listed in our Data Storytelling Tools directory. Add the badge to your site — it links back to this page.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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