Open Mining VS NumPy

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

Open Mining

Business Intelligence (BI) in Python, OLAP (by mining)

NumPy

The fundamental package for scientific computing with Python. (by numpy)
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Open Mining NumPy
- 272
1,152 26,413
- 1.1%
0.0 10.0
over 7 years ago 2 days ago
Python Python
MIT License 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.

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.

NumPy

Posts with mentions or reviews of NumPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-20.

What are some alternatives?

When comparing Open Mining and NumPy you can also consider the following projects:

blaze - NumPy and Pandas interface to Big Data

SymPy - A computer algebra system written in pure Python

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

SciPy - SciPy library main repository

RDKit - The official sources for the RDKit library

Numba - NumPy aware dynamic Python compiler using LLVM

Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).