Homer3 VS NIPY

Compare Homer3 vs NIPY and see what are their differences.

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Homer3 NIPY
2 -
81 733
- 0.5%
1.6 8.9
8 days ago 14 days ago
MATLAB Python
- 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.

Homer3

Posts with mentions or reviews of Homer3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-13.

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.

What are some alternatives?

When comparing Homer3 and NIPY you can also consider the following projects:

Kilosort - Fast spike sorting with drift correction for up to a thousand channels

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

NumPy - The fundamental package for scientific computing with Python.

SymPy - A computer algebra system written in pure Python

SciPy - SciPy library main repository

PyDy - Multibody dynamics tool kit.

dask-memusage - A low-impact profiler to figure out how much memory each task in Dask is using

RDKit - The official sources for the RDKit library

Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis

NetworkX - Network Analysis in Python