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An open source framework for writing data models without Airflow
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What is Viewflow?

It is a framework built on the top of Airflow that enables data scientists to create materialized views. It allows data scientists to focus on the logic of the view creation in their preferred tool (e.g., SQL, Python).
Viewflow is a tool in the Data Science Tools category of a tech stack.
Viewflow is an open source tool with 120 GitHub stars and 10 GitHub forks. Here’s a link to Viewflow's open source repository on GitHub

Who uses Viewflow?


Viewflow Integrations

Viewflow's Features

  • Airflow-based framework
  • Allows data scientists to create data models without writing Airflow code

Viewflow Alternatives & Comparisons

What are some alternatives to Viewflow?
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
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