Open-source analytics as code
Build dashboards as code, keep analytics in version control, and explore data with AI agents.
MIT licensed
Review every change
Two native interfaces
Run it yourself
One governed analytics layer
Define metrics, relationships, and access once. Dashboards and agents inherit the same governed context.
Every answer starts from the same reviewed semantic definitions.
Repeatable views for teams, reviews, and recurring decisions.
Open-ended investigation without creating a separate analytics surface.
Analytics as code
Build in code. Review in Git. Deploy with confidence.
apiVersion: leapview.dev/v1
kind: SemanticModel
metadata:
workspace: sales
name: sales
spec:
measures:
revenue:
fact: orders
aggregation: sum
input: {field: orders.revenue}One reviewed definition powers every dashboard and agent answer.
Define governed models, metrics, and dashboards in YAML.
Validate contracts and approve every change before release.
Publish dashboards and agent context as one immutable generation.
Works with your stack
Connect databases and object storage directly, or query open lakehouse formats where they already live.
Governed by default
The same controls apply whether a person opens a dashboard or an agent asks a question.
RBAC and data policies follow every governed query.
Metrics, filters, and query context stay inspectable.
Immutable serving generations cut over without interrupting readers.
Open-source BI
Build your first dashboard and explore it with an AI agent.