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Matplotlib

432
298
+ 1
10
Tableau

1.2K
1.3K
+ 1
9
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Matplotlib vs Tableau: What are the differences?

What is Matplotlib? A plotting library for the Python programming language. It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.

What is Tableau? Tableau helps people see and understand data. Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Matplotlib belongs to "Charting Libraries" category of the tech stack, while Tableau can be primarily classified under "Business Intelligence".

Decisions about Matplotlib and Tableau

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

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Vojtech Kopal
Head of Data at Mews Systems · | 3 upvotes · 268.7K views

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

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Pros of Matplotlib
Pros of Tableau
  • 10
    The standard Swiss Army Knife of plotting
  • 6
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive
  • 1
    3

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Cons of Matplotlib
Cons of Tableau
  • 5
    Lots of code
  • 2
    Very expensive for small companies

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What is Matplotlib?

It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.

What is Tableau?

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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Jobs that mention Matplotlib and Tableau as a desired skillset
CBRE
United States of America Arkansas Fayetteville
CBRE
United States of America New Jersey New Brunswick
CBRE
France Ile-de-France Levallois-Perret
CBRE
United States of America New York New York City
What companies use Matplotlib?
What companies use Tableau?
See which teams inside your own company are using Matplotlib or Tableau.
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What tools integrate with Matplotlib?
What tools integrate with Tableau?

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What are some alternatives to Matplotlib and Tableau?
MATLAB
Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
Bokeh
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.
R Language
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
Plotly.js
It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
ggplot2
It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.
See all alternatives