Visivo

Visivo

Overview

Visivo is a developer-focused data visualisation platform designed to help teams build interactive dashboards and analytics interfaces using code. It enables users to connect data sources, define queries, and generate visual reports that can be embedded into web applications or internal tools. Unlike traditional drag-and-drop BI tools, Visivo emphasises flexibility and version-controlled workflows that align with modern development practices.

The platform supports data teams and engineers who want greater control over dashboard logic, layout, and performance. By allowing visualisations to be defined programmatically, Visivo makes it easier to manage analytics projects within Git-based environments. For organizations seeking a developer-first approach to data visualization, Visivo provides a structured and scalable solution.

Platform Overview Table

Metric Details
Primary Function Developer-driven data visualisation platform
Typical Users Data engineers and analytics teams
Core Focus Code-based dashboards
Integration Databases and analytics systems
Key Benefit Customisable visual reporting
Platform Type Cloud-based analytics tool

Features

  • Code-Based Dashboard Creation: Allows developers to define visualisations and queries programmatically, offering full control over layout and logic.
  • Data Source Integration: Connects with structured databases to retrieve and visualise real-time or scheduled analytics data.
  • Version-Control Friendly Workflow: Supports Git-based collaboration, enabling teams to manage analytics changes through structured development processes.
  • Embeddable Analytics: Provides options to integrate dashboards directly into internal applications or client-facing platforms.
  • Scalable Deployment: Designed to support growing datasets and complex reporting requirements without sacrificing performance.

Ready to try it out?

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Review

Oliver Whitfield
Oliver Whitfield
Visivo offers flexibility for building custom dashboards through structured development workflows.
Thomas Harrington
Thomas Harrington
Good solution for teams that prefer code-based analytics rather than drag-and-drop tools.
Edward Langford
Edward Langford
Useful platform for embedding tailored data visualisations into applications.