# elementary-data/elementary

The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

Repository: https://github.com/elementary-data/elementary
Canonical: https://ross.abutalabs.com/products/elementary
Homepage: https://www.elementary-data.com/
Language: HTML
License: Apache-2.0
License Family: permissive
Topics: data-lineage, data-governance, data-warehouse, snowflake, bigquery, data-analysis, data-pipelines, data-pipeline, lineage, data-reliability, data-observability, dataops, dbt, dbt-packages, analytics-engineer, dbt-artifacts, redshift
Last push: 2026-08-26T09:56:16+00:00

## Health v2 (maintenance only)
Score: 97/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 92, longevity 100
- inputs: {"age_days": 1829, "days_push": 7, "days_rel": 56, "gap_med": 19.0, "n_releases_24m": 23}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2398, forks 225 (observed 2026-08-28T04:06:43.715201+00:00)

## What it is
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
- artifact type: cli-tool
- maturity: active
- function: monitoring, alerting, analytics, data-science, etl
- domain: analytics, monitoring, big-data
- platform: cli, python, self-hosted, cloud
- tags: dbt, data-observability, data-quality, anomaly-detection, data-lineage, data-reliability, snowflake, bigquery, redshift, slack-alerts, microsoft-teams, data-engineering, devops

## Member repositories
- elementary-data/elementary (main) score 97

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:43.715201+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:34:18.692344+00:00, confidence not recorded.
  - readme: https://github.com/elementary-data/elementary (fetched 2026-08-28T04:06:43.715201+00:00, sha de77cc4a33a4)
  - homepage: https://www.elementary-data.com/ (fetched 2026-08-29T10:14:50.530317+00:00, sha 8c7043923d13)
  - site_page: https://docs.elementary-data.com/ (fetched 2026-08-29T10:14:50.538605+00:00, sha 9880963bccb7)
  - site_page: https://www.elementary-data.com/integrations (fetched 2026-08-29T10:14:50.533073+00:00, sha 65e4614a1c4d)
  - site_page: https://www.elementary-data.com/elementary-cloud-demo-videos (fetched 2026-08-29T10:14:50.535249+00:00, sha 8f225f2c25c3)
  - site_page: https://www.elementary-data.com/company (fetched 2026-08-29T10:14:50.536973+00:00, sha 97c047559996)
  - site_page: https://www.elementary-data.com/pricing (fetched 2026-08-29T10:14:50.540084+00:00, sha 174483c860fb)
- Data as of 2026-08-30T08:39:29.467469+00:00.