Highcharts VS OpenCV

Compare Highcharts VS OpenCV and see what are their differences

TigerEye

GTM Analytics for the AI Era featured

This page does not exist

Contents:

» Base Details
» Videos
» Reviews
» Alternatives

Highcharts

A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

OpenCV

OpenCV is the world's biggest computer vision library

Landing page //
2023-03-16

Landing page //
2023-07-29

Highcharts

Website: highcharts.com
$ Details: -

Edit details

OpenCV

Website: opencv.org
$ Details

Edit details

Highcharts features and specs

Customization
Highcharts provides extensive options to customize chart appearance and functionality, allowing for a tailored and specific data visualization experience.
Cross-Browser Compatibility
Highcharts ensures compatibility across a wide range of browsers, making charts accessible to users regardless of their browser preferences.
Wide Range of Chart Types
Offers a broad spectrum of chart types, including line, bar, pie, scatter, and more, catering to various data visualization needs.
Interactive Features
Includes numerous interactive features such as tooltips, zooming, and clickable points, enhancing user engagement with the data.
Strong Community and Support
Has an active community and provides extensive documentation, forums, and professional support options to assist users in overcoming challenges.
Performance
Optimized for high performance, allowing for the rendering of large datasets without significant lag or performance issues.
Exporting and Sharing
Built-in options for exporting charts to various formats (PNG, JPEG, PDF, etc.) and sharing them easily.

Possible disadvantages of Highcharts

Cost
Highcharts is not free for commercial use, which may be a drawback for small businesses or individual developers with limited budgets.
Steep Learning Curve
Despite comprehensive documentation, the abundance of features and customization options can result in a steeper learning curve for new users.
Dependency on JavaScript
As a JavaScript library, Highcharts requires a solid understanding of JavaScript, making it less accessible for developers not familiar with the language.
Limited Free Support
While there is a free support forum, professional support options are paid, which can be a limitation for users needing urgent assistance without extra costs.
Mobile Responsiveness
Although Highcharts provides some support for mobile responsiveness, achieving optimal performance and displays on all device types may require additional customization.

OpenCV features and specs

Comprehensive Library
OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
Cross-Platform Compatibility
OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
Open Source
Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
Large Community Support
A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
Real-Time Performance
OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
Extensive Integration
OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
Rich Collection of examples
OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

Steep Learning Curve
Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
Documentation Gaps
While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
Resource Intensive
Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
Limited High-Level Abstractions
OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
Dependency Management
Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
Backward Compatibility Issues
With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

Highcharts videos

+ Add

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

OpenCV videos

+ Add

AI Courses by OpenCV.org

Category Popularity

0-100% (relative to Highcharts and OpenCV)

OpenCV

Data Dashboard

100 100%

Data Dashboard

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

Data Visualization

100 100%

Data Visualization

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

Share your experience with using Highcharts and OpenCV. For example, how are they different and which one is better?

Reviews

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

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,...

Source: www.sitepoint.com

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

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024

From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.

Source: www.labellerr.com

10 Python Libraries for Computer Vision

OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.

Source: clouddevs.com

Top 8 Alternatives to OpenCV for Computer Vision and Image Processing

OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...

Source: www.uubyte.com

Top 8 Image-Processing Python Libraries Used in Machine Learning

These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.

Source: neptune.ai

5 Ultimate Python Libraries for Image Processing

Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.

Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 59 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Highcharts mentions (0)

We have not tracked any mentions of Highcharts yet. Tracking of Highcharts recommendations started around Mar 2021.

OpenCV mentions (59)

Top Programming Languages for AI Development in 2025
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 11 days ago
Why 2024 Was the Best Year for Visual AI (So Far)
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 4 months ago
20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago
F1 FollowLine + HSV filter + PID Controller
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 7 months ago
Built in Days, Acquired for $20K: The NuloApp Story
First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 8 months ago