NIPY VS dask-memusage

Compare NIPY vs dask-memusage and see what are their differences.

dask-memusage

A low-impact profiler to figure out how much memory each task in Dask is using (by itamarst)
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NIPY dask-memusage
0 0
729 24
2.6% -
8.4 0.0
3 days ago 12 months ago
Python Python
GNU General Public License v3.0 or later MIT License
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.

NIPY

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

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

dask-memusage

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

We haven't tracked posts mentioning dask-memusage yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing NIPY and dask-memusage 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

Bubbles - [NOT MAINTAINED] Bubbles – Python ETL framework

Dask - Parallel computing with task scheduling

SymPy - A computer algebra system written in pure Python

NumPy - The fundamental package for scientific computing with Python.

NetworkX - Network Analysis in Python

SciPy - SciPy library main repository

PyDy - Multibody dynamics tool kit.

bccb - Incubator for useful bioinformatics code, primarily in Python and R