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Evsy
Define, document, and maintain analytics events before they silently break your metrics.
Events are added inconsistently without clear structure, leading to chaos.
Properties change without notice, breaking dashboards and downstream models.
Documentation quickly drifts from reality, making it untrustworthy and misleading.
Analysts only discover data quality issues long after a feature has been released.
As inconsistencies pile up, the entire team slowly loses trust in the metrics.
Most teams know this is a problem. Few have a good way to prevent it.
They are contracts between product, engineering, and analytics.
Evsy helps teams treat events as first-class entities, not afterthoughts.
Explicitly define events and their properties.
Use shared fields instead of redefining them.
Assign ownership and intent to every event.
Organize events using a tagging system.
Generate schemas for downstream systems.
Discover events in a central registry.
A single source of truth for analytics events.
Evsy is designed to fit into real analytics workflows, making event definitions usable by humans and machines.
The entire codebase is available on GitHub for transparency and community contributions.
Deploy Evsy on your own infrastructure to maintain full control over your data.
Export your data at any time. You own your schemas, not a vendor.
Evsy is an open-source project focused on improving analytics reliability through better event design.
Licensed under Apache 2.0.
event: landing_page_view
tags: [landing, views]
fields:
user_id: ""
event_date: ""
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