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pgmagick VS Highcharts

Compare pgmagick VS Highcharts and see what are their differences

pgmagick logo pgmagick

Yet Another Python wrapper for GraphicsMagick

Highcharts logo Highcharts

A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
  • pgmagick Landing page
    Landing page //
    2023-03-11
  • Highcharts Landing page
    Landing page //
    2023-03-16

pgmagick videos

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Highcharts videos

Angular 2 & HighCharts Quick-Tip: Dynamic Data & Draggable Points (2016)

More videos:

  • Tutorial - How to define the custom colors for Highcharts?
  • Review - Data Visualization HighCharts

Category Popularity

0-100% (relative to pgmagick and Highcharts)
Python Tools
100 100%
0% 0
Charting Libraries
0 0%
100% 100
Data Science And Machine Learning
Data Dashboard
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare pgmagick and Highcharts

pgmagick Reviews

Top 8 Image-Processing Python Libraries Used in Machine Learning
Pgmagick is a GraphicsMagick binding for Python that provides utilities to perform on images such as resizing, rotation, sharpening, gradient images, drawing text, etc.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pgmagick is a Python wrapper for GraphicsMagick which is the collection of tools and libraries for the manipulation of images. It supports more than 88 formats of image. Other than image processing work it can also be used in web applications for creating new images.

Highcharts Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
However, you might need to pay for additional packages to get exactly what you’re looking for. The Highcharts Core package includes all the essentials (like line, bar, area, and pie charts) but Maps, Gantt, and Stock chart packages are all extra. In terms of cost, this makes Highcharts somewhat less scalable, depending on the budget available for your project.
Source: embeddable.com
15 JavaScript Libraries for Creating Beautiful Charts
Highcharts is another very popular library for building graphs. It comes loaded with many different types of cool animations that are sufficient to attract many eyeballs to your website. Just like other libraries, Highcharts comes with many pre-built graphs like spline, area, areaspline, column, bar, pie, scatter, etc. The charts are responsive and mobile-ready. Besides,...
Best Data Visualization Tools
For companies that want to embed interactive visualizations in their online content, look no further than Datawrapper. Highcharts is another great option for embedding interactive content into your sites, though it’s not as easy for non-specialists as Datawrapper.
Source: neilpatel.com
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
Highcharts is one of the most comprehensive and popular JavaScript charting libraries based on HTML5, rendering in SVG/VML. It is lightweight, supports a wide range of diverse chart types, and ensures high performance.
Source: hackernoon.com
The Best Data Visualization Tools - Top 30 BI Software
Highcharts is a battle-tested SVG-based, multi-platform charting library that has been actively developed since 2009. Its JavaScript API integrates easily, and features robust documentation, advanced responsiveness and industry-leading accessibility support. You can add interactive, mobile-optimized charts to your web and mobile projects. Charts are rendered in SVG and a VML...
Source: improvado.io

What are some alternatives?

When comparing pgmagick and Highcharts, you can also consider the following products

Mahotas - Mahotas is a computer vision and image processing library for Python.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

OpenCV - OpenCV is the world's biggest computer vision library

Chart.js - Easy, object oriented client side graphs for designers and developers.

python pillow - The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

Google Charts - Interactive charts for browsers and mobile devices.