Bubbles vs Cubes

Bubbles

[NOT MAINTAINED] Bubbles – Python ETL framework (by Stiivi)

Science and Data analysis

Source Code

bubbles.databrewery.org

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Cubes

[NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis (by DataBrewery)

Science and Data analysis Olap Data data-warehouse SQL multidimensional-analysis Cube Data Analysis

Source Code

cubes.databrewery.org

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Bubbles		Cubes
	Project
-	Mentions	1
450	Stars	1,490
-	Growth	0.0%
0.0	Activity	0.0
over 6 years ago	Latest Commit	about 2 years ago
Python	Language	Python
MIT License	License	GNU General Public License v3.0 or later

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Bubbles

Posts with mentions or reviews of Bubbles. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Bubbles yet.
Tracking mentions began in Dec 2020.

Cubes

Posts with mentions or reviews of Cubes. We have used some of these posts to build our list of alternatives and similar projects.

Building data analysis apps
1 project | /r/Python | 16 Apr 2021

I'm looking for materials and tools to learn. I'm reading up on OLAP and cubes. I found cubes python package but it hasn't been updated in years. Could you give me some tips on what to learn in 2021?

What are some alternatives?

When comparing Bubbles and Cubes you can also consider the following projects:

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

NIPY - Workflows and interfaces for neuroimaging packages

NumPy - The fundamental package for scientific computing with Python.

blaze - NumPy and Pandas interface to Big Data

Dask - Parallel computing with task scheduling

Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python

NetworkX - Network Analysis in Python

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

SymPy - A computer algebra system written in pure Python