Matplotlib vs NumeRe

Struggling to choose between Matplotlib and NumeRe? Both products offer unique advantages, making it a tough decision.

Matplotlib is a Photos & Graphics solution with tags like plotting, graphs, charts, visualization, python.

It boasts features such as 2D plotting, Publication quality output, Support for many plot types (line, bar, scatter, histogram etc), Extensive customization options, IPython/Jupyter notebook integration, Animations and interactivity, LaTeX support for mathematical typesetting and pros including Mature and feature-rich, Large user community and extensive documentation, Highly customizable, Integrates well with NumPy, Pandas and SciPy, Output can be saved to many file formats.

On the other hand, NumeRe is a Development product tagged with numerical-analysis, visualization, statistics, matrix-operations, plotting, open-source.

Its standout features include Matrix operations, Plotting tools, Statistics functionality, Interfaces to C/C++, Fortran, and Julia, and it shines with pros like Open source, Fast matrix operations, Good for numerical analysis and statistics, Integrates with other languages like C/C++.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Matplotlib

Matplotlib

Matplotlib is a comprehensive 2D plotting library for Python that allows users to create a wide variety of publication-quality graphs, charts, and visualizations. It integrates well with NumPy and Pandas data structures.

Categories:
Photos & Graphics Data Visualization
plotting graphs charts visualization python

Matplotlib Features

  1. 2D plotting
  2. Publication quality output
  3. Support for many plot types (line, bar, scatter, histogram etc)
  4. Extensive customization options
  5. IPython/Jupyter notebook integration
  6. Animations and interactivity
  7. LaTeX support for mathematical typesetting

Pricing

  • Open Source

Pros

Mature and feature-rich

Large user community and extensive documentation

Highly customizable

Integrates well with NumPy, Pandas and SciPy

Output can be saved to many file formats

Cons

Steep learning curve

Plotting code can be verbose

3D plotting support is limited

Cannot do web visualization (unlike Bokeh or Plotly)

NumeRe

NumeRe

NumeRe is an open-source numerical computing environment and programming language for numerical analysis, visualization, and statistics. It is similar to MATLAB and Python-based scientific computing packages, providing fast matrix operations, plotting tools, statistics functionality, and interfaces to C/C++, Fortran, and Julia.

Categories:
Development Scientific Computing
numerical-analysis visualization statistics matrix-operations plotting open-source

NumeRe Features

  1. Matrix operations
  2. Plotting tools
  3. Statistics functionality
  4. Interfaces to C/C++, Fortran, and Julia

Pricing

  • Open Source

Pros

Open source

Fast matrix operations

Good for numerical analysis and statistics

Integrates with other languages like C/C++

Cons

Less comprehensive than MATLAB

Smaller user community than MATLAB or Python for scientific computing

Less support and documentation than proprietary options