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data-ops · GitHub Topics · GitHub

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data-ops

DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.

Here are 44 public repositories matching this topic...

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

  • Updated Aug 19, 2026
  • Python

Collect, aggregate, and visualize a data ecosystem's metadata

  • Updated Aug 11, 2026
  • Java

Polyglot workflows without leaving the comfort of your technology stack.

  • Updated Apr 3, 2023
  • Ruby

Snowflake CLI is an open-source command-line tool explicitly designed for developer-centric workloads in addition to SQL operations.

  • Updated Aug 19, 2026
  • Python

Opt-Out tool to check Copyright reservations in a way that even machines can understand.

  • Updated Jan 8, 2024
  • Python

Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.

  • Updated Jan 5, 2026
  • Java

Github Action enabling easy use of Snowflake CLI in your CI/CD workflows

  • Updated Aug 4, 2026
  • Shell

funsies is a lightweight workflow engine 🔧

  • Updated Oct 2, 2021
  • Python

Manage Redshift/Postgres privileges in GitOps style written in Rust

  • Updated Jul 21, 2026
  • Rust

A data lineage tool detects table dependencies from rendered SQL statements.

  • Updated Mar 14, 2026
  • Python

Efficient streaming data ingestion, transformation & activation

  • Updated Jul 29, 2026
  • Python

Open source data infrastructure platform. Designed for developers, built for speed.

  • Updated Mar 28, 2022
  • TypeScript

Data analytics library for Python and suite of open source, command line based data ops tools.

  • Updated Dec 8, 2022
  • Python

A next-generation open source orchestration platform for the development, production, and observation of data assets.

  • Updated Mar 2, 2023
  • Python

A prefect extension that builds on top of the task decorator to reduce negative engineering!

  • Updated Jun 13, 2023
  • Python
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Website
github.com/topics/dataops
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open-data

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