blaze VS Cubes

Compare blaze vs Cubes and see what are their differences.

Cubes

[NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis (by DataBrewery)
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blaze Cubes
1 1
3,182 1,490
0.1% 0.0%
0.0 0.0
7 months ago almost 2 years ago
Python Python
BSD 3-clause "New" or "Revised" License Creative Commons Public Domain Dedication and Certification
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.

blaze

Posts with mentions or reviews of blaze. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-19.

Cubes

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

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

What are some alternatives?

When comparing blaze 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

Dask - Parallel computing with task scheduling

NumPy - The fundamental package for scientific computing with Python.

bcolz - A columnar data container that can be compressed.

Bubbles - [NOT MAINTAINED] Bubbles – Python ETL framework

Open Mining - Business Intelligence (BI) in Python, OLAP

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

RDKit - The official sources for the RDKit library