bccb VS Interactive Parallel Computing with IPython

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

bccb

Incubator for useful bioinformatics code, primarily in Python and R (by chapmanb)
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bccb Interactive Parallel Computing with IPython
- -
594 2,551
- 0.4%
4.4 8.2
3 months ago about 1 month ago
Python Jupyter Notebook
- 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.

bccb

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

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

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 bccb 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

SciPy - SciPy library main repository

NetworkX - Network Analysis in Python

Biopython - Official git repository for Biopython (originally converted from CVS)

zipline - Zipline, a Pythonic Algorithmic Trading Library

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

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