Open-source analytics as code

The agent-native BI platform.

Build dashboards as code, keep analytics in version control, and explore data with AI agents.

LeapView Visual Showcase overview with KPIs, line, donut, and bar charts, and an analytical tableLeapView Visual Showcase overview with KPIs, line, donut, and bar charts, and an analytical table

Open source

Apache-2.0 licensed

Version controlled

Review every change

Dashboards + agents

Two native interfaces

Self-hosted

Run it yourself

One model. Two ways to explore.

Define metrics, relationships, and access once. Dashboards and agents inherit the same governed context.

Version-controlled analytics

Every answer starts from the same reviewed semantic definitions.

  • Same metrics
  • Same permissions
  • Same data

Dashboards

Repeatable views for teams, reviews, and recurring decisions.

  • Charts, KPIs, and tables
  • Filters and drill-downs
  • Reviewed metric definitions
Explore dashboard guides

AI agents

Open-ended investigation without creating a separate analytics surface.

  • Natural-language questions
  • Visual, verifiable answers
  • Permission-aware queries
Explore agent integrations

Take LeapView to your desktop.

Early preview

Open deployed dashboards in a dedicated, hardened app with the same server-side identity, access, and data controls. Installers are not yet code-signed, so macOS and Windows may show a publisher warning. Verify release evidence

LeapView Desktop · Connect an instance
LeapView Desktop connection screen for opening a deployed LeapView instance

Ship analytics like software.

Build in code. Review in Git. Deploy with confidence.

semantic-models/sales.yamlValidated
apiVersion: leapview.dev/v1
kind: SemanticModel
metadata:
  id: semantic-model:sales
  name: sales
spec:
  metrics:
    revenue:
      type: aggregate
      dataset: orders
      aggregation: sum
      input: {field: orders.revenue}

One reviewed definition powers every dashboard and agent answer.

  1. Build in code

    Define governed models, metrics, and dashboards in YAML.

  2. Review in Git

    Validate contracts and approve every change before release.

  3. Deploy with confidence

    Publish dashboards and agent context as one immutable generation.

Keep your data stack. Add LeapView.

Connect databases and object storage directly, or query open lakehouse formats where they already live.

  1. Databases

    • PostgreSQL
    • MySQL
    • SQLite

    Object storage

    • Amazon S3
    • Azure Blob
    • Google Cloud Storage
    • Cloudflare R2
    • Hetzner Object Storage

    Formats

    • CSV
    • JSON
    • Parquet
    • Excel
    • Vortex
    • Delta Lake
    • Apache Iceberg
    • Lance
    • DuckLake
  2. LeapView

    Interfaces

    • Web app
    • CLI
    • REST API
    • MCP

Governed from question to answer.

The same controls apply whether a person opens a dashboard or an agent asks a question.

Shared permissions

RBAC and data policies follow every governed query.

Verifiable answers

Metrics, filters, and query context stay inspectable.

Safe deployments

Immutable serving generations cut over without interrupting readers.

Put your analytics in version control.

Build your first dashboard and explore it with an AI agent.