elementary-data/elementary

Health v2 · maintenance only

Adoption not part of the score

2398 stars · 225 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Elementary OSS is an open-source CLI for dbt-native data observability that reads warehouse metadata, dbt artifacts, and test results to generate observability reports and send alerts to Slack and Teams. It works alongside a companion dbt package to provide anomaly detection, lineage, and data quality dashboards, with a paid cloud offering for scale.

Use cases

• monitor dbt data pipelines for anomalies
• get alerts in Slack when dbt tests fail
• track data freshness and volume issues in a warehouse
• generate a data quality dashboard from dbt artifacts
• analyze data lineage and root-cause pipeline failures
• monitor model and job performance over time

When to choose

• your team already uses dbt and wants observability with minimal setup
• you need anomaly detection implemented as native dbt tests
• you want self-hosted data monitoring with Slack/Teams alerting
• you need lineage enriched with test results for root cause analysis

When to avoid

• you don't use dbt or a supported SQL warehouse
• you need column-level lineage from source to BI (cloud-only)
• you want a fully free end-to-end platform with catalog and AI agents
• your stack is non-SQL data pipelines without dbt artifacts

Facets

cli-tool · maturity active

monitoring alerting analytics data-science etl analytics monitoring big-data cli python self-hosted cloud dbt data-observability data-quality anomaly-detection data-lineage data-reliability snowflake bigquery redshift slack-alerts microsoft-teams data-engineering devops

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