Turn notebooks and prompts into interactive dashboards, internal tools, and client-facing apps your team will actually use.
Sales Dashboard — Live App Last updated: 2 minutes ago
Total Revenue
$3.9M
+18% vs Q3
Customers
1,692
+12% vs Q3
Avg Deal Size
$2.1K
-3% vs Q3
| Customer | Region | Revenue | Status |
|---|---|---|---|
| Acme Corp | NA | $245K | Active |
| TechFlow GmbH | EU | $182K | Active |
| Sakura Ltd | APAC | $156K | Pending |
| DataBr SA | LATAM | $98K | Active |
Build with the Python stack you already know, shape the experience, and deploy it without managing infrastructure.
Start from notebooks, app builders, or AI-generated scaffolds depending on how your team works.
Run Streamlit, Gradio, Dash, Panel, and other Python app frameworks in the same platform.
Expose apps with custom domains, sharing controls, embeds, and branding that fits your audience.
Live Apps are framework-agnostic. Ship analytical dashboards, AI interfaces, forms, and internal tools without being boxed into one runtime.
Fast internal dashboards and data tools with a familiar Python workflow.
Interactive AI demos, multimodal workflows, and human-in-the-loop interfaces.
Structured analytical apps and KPI-heavy interfaces with richer layout control.
Pick the best fit for each app instead of reshaping your product around one framework.
Live Apps are not just previews. They are designed to stay on, be shared, and fit real business workflows.
Keep business-facing apps available without asking teams to rerun notebooks manually.
Publish under your own domain or embed visualizations and app surfaces where users already work.
Pair polished delivery with enterprise controls, stable hosting, and audience-appropriate presentation.
Persistent app endpoints for dashboards, portals, and operational tools.
Place charts and app surfaces inside portals, websites, and internal systems.
Adapt the experience to your organization or customer-facing brand.
Serve apps backed by your connected datasources and operational data flows.
Live Apps bridge the gap between analysis and adoption by turning Python work into interfaces people can actually use.
Always-on KPI apps for leaders who need clarity, not notebooks.
Internal apps for monitoring, exception handling, workflows, and daily decisions.
Branded analytical experiences you can share externally with confidence.
Ship retrieval, generation, and multimodal AI tools behind user-friendly interfaces.
Technical references, implementation details and examples for teams building on MINEO.
Use your preferred Python framework, connect real data, and publish an app your audience can actually use.
