Need advice about which tool to choose?Ask the StackShare community!
Add tool
Manage your open source components, licenses, and vulnerabilities
Learn MorePros of Matplotlib
Pros of Pandas
Pros of Matplotlib
- The standard Swiss Army Knife of plotting11
Pros of Pandas
- Easy data frame management21
- Extensive file format compatibility2
Sign up to add or upvote prosMake informed product decisions
Cons of Matplotlib
Cons of Pandas
Cons of Matplotlib
- Lots of code5
Cons of Pandas
Be the first to leave a con
Sign up to add or upvote consMake informed product decisions
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 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.
Need advice about which tool to choose?Ask the StackShare community!
What companies use Matplotlib?
What companies use Pandas?
What companies use Matplotlib?
What companies use Pandas?
Manage your open source components, licenses, and vulnerabilities
Learn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with Matplotlib?
What tools integrate with Pandas?
What tools integrate with Matplotlib?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
What are some alternatives to Matplotlib and Pandas?
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.