{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/4"}],"enrichment":{"capability":"Elementary OSS is a dbt-native CLI for data observability that connects to your warehouse, reads dbt metadata and test results, and generates observability reports with anomaly detection and alerts to Slack and Microsoft Teams.","skillfed_tags":["dbt-native","data-quality","warehouse-observability"],"use_cases":["Monitor dbt test results in real time and alert teams to failures via Slack or Teams","Detect anomalies in data freshness, volume, and schema changes across your warehouse","Track performance trends of dbt models and jobs over time to identify regressions","Explore data lineage and test results together to diagnose root causes of data issues","Generate a centralized data quality dashboard for non-technical stakeholders"],"what_it_does":"Elementary OSS is a command-line tool that integrates with dbt to provide data observability across your warehouse. It works alongside the Elementary dbt package to collect metadata, test results, and performance metrics from your dbt runs, then synthesizes them into a unified observability report. The tool can detect anomalies in data quality, surface failed tests, track model performance trends, and send actionable alerts to Slack or Microsoft Teams.\n\nThe package depends on dbt-core and a range of cloud storage and notification libraries (boto3, azure-storage-blob, google-cloud-storage, slack-sdk, pymsteams) to connect to your warehouse and communicate findings. It's designed for analytics engineering teams that want to monitor data reliability without building custom observability infrastructure, though the OSS version is more limited than the commercial Elementary Cloud offering.","worth_installing":"Yes, if you use dbt and need observability without building custom tooling. Elementary OSS is actively maintained, has no known vulnerabilities, and offers genuine value for teams monitoring data quality. The substantial dependency footprint is justified by its integration with multiple cloud platforms and notification channels. Consider it especially if you already use Slack or Teams for team communication and want dbt-native monitoring."},"id":"elementary-data","links":{"html":"https://skillfed.io/packages/elementary-data","md":"https://skillfed.io/packages/elementary-data.md","pypi":"https://pypi.org/project/elementary-data/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-08","license_spdx":null,"license_treatment":"permissive","name":"elementary-data","python_support":"supports_current","summary":"Data monitoring and lineage"},"popularity":{"monthly_downloads":1209952,"position":4216,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.25.1"}
