Python data-observability

Open-source Python projects categorized as data-observability

Top 5 Python data-observability Projects

  • soda-core

    :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

  • piperider

    Code review for data in dbt

    Project mention: Show HN: PipeRider – open-source Data Impact Analysis for dbt changes | news.ycombinator.com | 2023-09-06
  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • dbt-data-reliability

    dbt package that is part of 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.

  • swiple

    Swiple enables you to easily observe, understand, validate and improve the quality of your data

  • soda-spark

    Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-09-06.

Python data-observability related posts

Index

What are some of the best open-source data-observability projects in Python? This list will help you:

Project Stars
1 soda-core 1,745
2 piperider 467
3 dbt-data-reliability 338
4 swiple 76
5 soda-spark 60
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