RDKit VS blaze

Compare RDKit vs blaze and see what are their differences.

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RDKit blaze
4 1
2,452 3,179
2.8% -0.1%
9.5 0.0
7 days ago 8 months ago
HTML Python
BSD 3-clause "New" or "Revised" License 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.

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.

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.

What are some alternatives?

When comparing RDKit and blaze you can also consider the following projects:

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

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

NetworkX - Network Analysis in Python

Dask - Parallel computing with task scheduling

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

NumPy - The fundamental package for scientific computing with Python.

Numba - NumPy aware dynamic Python compiler using LLVM

bcolz - A columnar data container that can be compressed.

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

Bubbles - [NOT MAINTAINED] Bubbles – Python ETL framework