elementary-data/elementary：面向数据和分析工程师的dbt原生数据可观察性解决方案

项目介绍

elementary-data/elementary 是一个托管在 GitHub 上的开源项目，主要使用 HTML 编写，采用 Apache License 2.0 许可证，目前获得 2.4k 个 Star、238 次 Fork。

仓库全名: elementary-data/elementary

README 摘要

Elementary OSS: dbt-native data observability Docs » | Join the Elementary Community » ⭐️ 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…

完整内容见 GitHub 原始 README 或本页。

常见问题

elementary 用什么语言开发？

主要使用 HTML 编写，采用 Apache License 2.0 许可证，目前有 2.4k 个 Star。

elementary 可以免费商用吗？

如何获取 elementary 的源码？

可以直接克隆仓库：git clone https://github.com/elementary-data/elementary.git，默认分支为 master；安装与运行步骤见仓库 README。

elementary 最近还在维护吗？

仓库最近一次更新为 3 天前，当前有 9 个未关闭 Issue；Star 数为 2.4k，可作为社区活跃度的参考。

关于

GitHub 原始描述（英文）

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.

analytics-engineer bigquery data-analysis data-governance data-lineage data-observability data-pipeline data-pipelines data-reliability data-warehouse dataops dbt dbt-artifacts dbt-packages lineage redshift snowflake

Apache License 2.0
2.4k Stars
238 Forks
13 Watching

描述取自 GitHub 官方 API，保持仓库作者书写的原文。

简要分析

热度分

2919

价值分

1530

活跃状态

活跃

GitHub

语言占比

Dockerfile

HTML

Jinja

Python

Shell

Release

贡献者

devin-ai-integration[bot]

Logo

License

Elementary OSS: dbt-native data observability

Docs » | Join the Elementary Community »

⭐️ 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