bccb VS RDKit

Compare bccb vs RDKit and see what are their differences.

bccb

Incubator for useful bioinformatics code, primarily in Python and R (by chapmanb)
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bccb RDKit
- 3
594 2,427
- 1.8%
4.4 9.5
3 months ago 1 day ago
Python HTML
- BSD 3-clause "New" or "Revised" 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.

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.

RDKit

Posts with mentions or reviews of RDKit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-20.

What are some alternatives?

When comparing bccb and RDKit 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

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

SciPy - SciPy library main repository

NetworkX - Network Analysis in Python

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

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

Numba - NumPy aware dynamic Python compiler using LLVM

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

Dask - Parallel computing with task scheduling