Open Mining VS RDKit

Compare Open Mining vs RDKit and see what are their differences.

Open Mining

Business Intelligence (BI) in Python, OLAP (by mining)
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Open Mining RDKit
- 3
1,152 2,427
- 1.6%
0.0 9.5
over 7 years ago about 8 hours ago
Python HTML
MIT 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.

Open Mining

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

We haven't tracked posts mentioning Open Mining 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 Open Mining and RDKit you can also consider the following projects:

blaze - NumPy and Pandas interface to Big Data

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

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

Numba - NumPy aware dynamic Python compiler using LLVM

SymPy - A computer algebra system written in pure Python

Dask - Parallel computing with task scheduling