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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. AI Graph Generator vs Matplotlib

AI Graph Generator vs Matplotlib

OverviewComparisonAlternatives

Overview

Matplotlib
Matplotlib
Stacks1.6K
Followers336
Votes11
AI Graph Generator
AI Graph Generator
Stacks0
Followers1
Votes1

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Detailed Comparison

Matplotlib
Matplotlib
AI Graph Generator
AI Graph Generator

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.

The AI Graph Generator helps you turn raw data into clear, accurate graphs using simple inputs. Designed for business teams, educators, and analysts, it creates presentation-ready visuals in seconds with no spreadsheets or manual formatting required.

-
Prompt-to-Graph Generation, Smart Graph Type Detection, Automatic Labeling & Scaling, Editable Graph Designs, Multiple Graph Formats
Statistics
Stacks
1.6K
Stacks
0
Followers
336
Followers
1
Votes
11
Votes
1
Pros & Cons
Pros
  • 11
    The standard Swiss Army Knife of plotting
Cons
  • 5
    Lots of code
No community feedback yet

What are some alternatives to Matplotlib, AI Graph Generator?

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.

Figma

Figma

Figma is the first interface design tool with real-time collaboration. It keeps everyone on the same page. Focus on the work instead of fighting your tools.

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.

Sketch

Sketch

Easily create complex shapes with our state-of-the-art vector boolean operations and take advantage of our extensive layer styles.

Adobe Photoshop

Adobe Photoshop

It is the best in the world of graphic design and image processing software that will realize any of your ideas. Create and enhance photos, illustrations and 3D graphic objects.

Adobe XD

Adobe XD

A vector-based tool developed and published by Adobe Inc for designing and prototyping user experience for web and mobile apps.

Chart.js

Chart.js

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

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

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