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.
Matplotlib is a tool in the Charting Libraries category of a tech stack.
Who uses Matplotlib?
Companies
43 companies reportedly use Matplotlib in their tech stacks, including doubleSlash, tarfin, and Bonton.
Developers
436 developers on StackShare have stated that they use Matplotlib.
Matplotlib Integrations
Streamlit, Gradio, Neptune, Yellowbrick, and Orchest are some of the popular tools that integrate with Matplotlib. Here's a list of all 6 tools that integrate with Matplotlib.
Pros of Matplotlib
11
Decisions about Matplotlib
Here are some stack decisions, common use cases and reviews by companies and developers who chose Matplotlib in their tech stack.
Larry Eisenberg
Hi - I am looking to develop an app accessed by a browser that will display interactive networks (including adding or deleting nodes, edges, labels (or changing labels) based on user input. Look to use Django at the backend. Also need to manage graph versions if one person makes a graph change while another person is looking at it. Mainly tree networks for starters anyway. I probably will use the Networkx package. Not sure what the pros and cons are using Bokeh vs Matplotlib. I would be grateful for any comments or suggestions. Thanks.
Matplotlib Alternatives & Comparisons
What are some alternatives to Matplotlib?
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.
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.
