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Anaconda vs Dataform

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Anaconda
437
490
+ 1
0
Dataform
309
53
+ 1
0
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Anaconda vs Dataform: What are the differences?

Developers describe Anaconda as "The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders". 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. On the other hand, Dataform is detailed as "A framework for managing SQL based data operations". 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.

Anaconda and Dataform are primarily classified as "Data Science" and "Business Intelligence" tools respectively.

Dataform is an open source tool with 117 GitHub stars and 11 GitHub forks. Here's a link to Dataform's open source repository on GitHub.

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What is Anaconda?

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.

What is Dataform?

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.

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Jobs that mention Anaconda and Dataform as a desired skillset
Staff Software Engineer, ML Training
Pinterest
San Francisco, CA, US; , CA, US
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PatternsInfraDream+12
What companies use Anaconda?
What companies use Dataform?
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What are some alternatives to Anaconda and Dataform?
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
PyCharm
PyCharm’s smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes!
pip
It is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
See all alternatives

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