Logo

License Downloads

Elementary OSS: dbt-native data observability

⭐️ Star the repo

Built by the Elementary team, helping you deliver trusted data in the AI era.

Elementary OSS is the open-source CLI for dbt-native data observability. It works with the Elementary dbt package to generate the basic Elementary observability report and send alerts to Slack and Microsoft Teams.

For teams that need data reliability at scale, we offer Elementary Cloud, a full Data & AI Control Plane with automated ML monitoring, column-level lineage from source to BI, a built-in catalog, and AI agents that scale reliability workflows for both engineers and business users.

Demo

How It Works

Elementary OSS connects to your warehouse and reads the metadata, artifacts, and test results collected by the Elementary dbt package.
With this information, it can:

  • Generate a data observability report
  • Surface anomalies and failed tests
  • Send alerts to Slack and Teams
  • Track model and test performance trends

Quickstart

Follow the quickstart guide to install and configure the Elementary dbt package and CLI:

👉 https://docs.elementary-data.com/oss/quickstart

Features

  • Anomaly detection tests - Collect data quality metrics and detect anomalies, as native dbt tests.
  • Automated monitors - Out-of-the-box cloud monitors to detect freshness, volume and schema issues.
  • End-to-End Data Lineage - Enriched with the latest test results, for impact and root cause analysis of data issues. Elementary Cloud offers Column-Level-Lineage from ingestion to BI.
  • Data quality dashboard - Single interface for all your data monitoring and test results.
  • Models performance - Monitor models and jobs run results and performance over time.
  • Configuration-as-code - Elementary configuration is managed in your dbt code.
  • Alerts - Actionable alerts including custom channels and tagging of owners.
  • Data catalog - Explore your datasets information - descriptions, columns, datasets health, etc.
  • dbt artifacts uploader - Save metadata and run results as part of your dbt runs.
  • AI-Powered Data Tests & Unstructured Data Validations - Validate and monitor data using AI powered tests to validate both structured and unstructured data

Support

For additional information and help:

Elementary contributors: ✨

Project links

Data verified by PyPI on Sep 10, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for GuyEshdat from gravatar.com GuyEshdat Avatar for oravidov from gravatar.com oravidov

Credits

Author: Elementary

GitHub Statistics

Data verified by PyPI on Sep 10, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

Apache Software License (Apache-2.0)

Requires

Python <3.14, >=3.10

Provides Extra

all athena bigquery clickhouse databricks dremio duckdb fabric postgres redshift snowflake spark sqlserver trino

Tags

data lineage data lineage data warehouse DWH observability data monitoring data observability Snowflake BigQuery Redshift data reliability analytics engineering

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

elementary_data-0.26.0.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

elementary_data-0.26.0-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file elementary_data-0.26.0.tar.gz.

File metadata

  • Download URL: elementary_data-0.26.0.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for elementary_data-0.26.0.tar.gz
Algorithm Hash digest
SHA256 61966ae564aef7507392037e371e9d5d48b1b32f2a427af1cd8b2596913fb14c
MD5 729f192e91d7a836422884a1dd5d058a
BLAKE2b-256 358ffcc3b8f9f80120e2250a52807822740b5a84fa9c58e7000cd1cdb7ed6e5d

See more details on using hashes here.

Provenance

The following attestation bundles were made for elementary_data-0.26.0.tar.gz:

Publisher: release.yml on elementary-data/elementary

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file elementary_data-0.26.0-py3-none-any.whl.

File metadata

File hashes

Hashes for elementary_data-0.26.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f05ed247c2624cdfa3cd503601961b21746707f584ad5782d3c619b2f09a3e04
MD5 503f3925954f28f1138d724edd7a8ad4
BLAKE2b-256 ea5c4959d35612d3d348dc898bda9e2ee3009418e0d091a58345e41d9af5c3b9

See more details on using hashes here.

Provenance

The following attestation bundles were made for elementary_data-0.26.0-py3-none-any.whl:

Publisher: release.yml on elementary-data/elementary

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

This release

0.26.0 This release

2 files

0.25.1

2 files

0.25.0

2 files

0.24.1

2 files

0.24.0

2 files

0.23.4

2 files

0.23.2

2 files

0.23.1

2 files

0.23.0

2 files

0.22.0

2 files

0.20.1

2 files

0.20.0

2 files

0.19.5

2 files

0.19.4

2 files

0.19.3

2 files

0.19.2

2 files

0.19.1

2 files

0.19.0

2 files

0.18.3

2 files

0.18.2

2 files

0.18.1

2 files

0.18.0

2 files

0.17.0

2 files

0.16.2

2 files

0.16.1

2 files

0.16.0

2 files

0.15.1

2 files

0.15.0

2 files

0.14.1

2 files

0.14.0

2 files

0.13.2

2 files

0.13.1

2 files

0.13.0

2 files

0.12.1

2 files

0.12.0

2 files

0.11.0

2 files

0.10.0

2 files

0.9.2

2 files

0.9.1

2 files

0.9.0

2 files

0.8.3

2 files

0.8.2

2 files

0.8.1

2 files

0.8.0

2 files

0.7.10

2 files

0.7.9

2 files

0.7.8

2 files

0.7.7

2 files

0.7.6

2 files

0.7.5

2 files

0.7.3

2 files

0.7.2

2 files

0.7.1

2 files

0.7.0

2 files

0.6.10

2 files

0.6.9

2 files

0.6.8

2 files

0.6.7

2 files

0.6.6

2 files

0.6.5

2 files

0.6.4

2 files

0.6.3

2 files

0.6.2

2 files

0.6.1

2 files

0.6.0

2 files

0.5.4

2 files

0.5.3

2 files

0.5.2

2 files

0.5.1

2 files

0.5.0

2 files

0.4.11

2 files

0.4.10

2 files

0.4.9

2 files

0.4.8

2 files

0.4.7

2 files

0.4.6

2 files

0.4.5

2 files

0.4.4

2 files

0.4.3

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.0

2 files

0.2.9

2 files

0.2.8

2 files

0.2.7

2 files

0.2.6

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page