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API StatusChangelog
Matplotlib
ByMatplotlibMatplotlib

Matplotlib

#16in UI Components
Stacks1.28kDiscussions17
Followers336
OverviewDiscussions17

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 UI Components category of a tech stack.

Matplotlib Pros & Cons

Pros of Matplotlib

  • ✓The standard Swiss Army Knife of plotting

Cons of Matplotlib

  • ✗Lots of code

Matplotlib Alternatives & Comparisons

What are some alternatives to Matplotlib?

D3.js

D3.js

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Highcharts

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Plotly.js

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.

C3.js

C3.js

c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.

amCharts

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

Matplotlib Integrations

Neptune, Yellowbrick, Gradio, Streamlit, Orchest and 1 more are some of the popular tools that integrate with Matplotlib. Here's a list of all 6 tools that integrate with Matplotlib.

Neptune
Neptune
Yellowbrick
Yellowbrick
Gradio
Gradio
Streamlit
Streamlit
Orchest
Orchest
mljar Mercury
mljar Mercury

Matplotlib Discussions

Discover why developers choose Matplotlib. Read real-world technical decisions and stack choices from the StackShare community.Showing 1 of 5 discussions.

Larry Eisenberg
Larry Eisenberg

May 25, 2021

Needs adviceonDjangoDjangoBokehBokehMatplotlibMatplotlib

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.

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