Cubes VS Interactive Parallel Computing with IPython

Compare Cubes vs Interactive Parallel Computing with IPython and see what are their differences.

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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Interactive Parallel Computing with IPython

IPython Parallel: Interactive Parallel Computing in Python (by ipython)
Science and Data analysis Parallel Jupyter Python
Source Code
ipyparallel.readthedocs.io
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Cubes Interactive Parallel Computing with IPython
1 -
1,490 2,551
0.0% 0.7%
0.0 8.2
about 2 years ago 24 days ago
Python Jupyter Notebook
GNU General Public License v3.0 or later 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.

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?

Interactive Parallel Computing with IPython

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

We haven't tracked posts mentioning Interactive Parallel Computing with IPython yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Cubes and Interactive Parallel Computing with IPython 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

Dask - Parallel computing with task scheduling

NumPy - The fundamental package for scientific computing with Python.

NetworkX - Network Analysis in Python

Bubbles - [NOT MAINTAINED] Bubbles – Python ETL framework

zipline - Zipline, a Pythonic Algorithmic Trading Library

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

blaze - NumPy and Pandas interface to Big Data

SymPy - A computer algebra system written in pure Python

Cubes vs Pandas Interactive Parallel Computing with IPython vs Dask Cubes vs NumPy Interactive Parallel Computing with IPython vs NetworkX Cubes vs Bubbles Interactive Parallel Computing with IPython vs zipline Cubes vs Dask Interactive Parallel Computing with IPython vs orange Cubes vs orange Interactive Parallel Computing with IPython vs Pandas Cubes vs blaze Interactive Parallel Computing with IPython vs SymPy