Software Alternatives, Accelerators & Startups

Highcharts VS We Do Data Science

Compare Highcharts VS We Do Data Science and see what are their differences

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

We Do Data Science logo We Do Data Science

Data Science in your browser
  • Highcharts Landing page
    Landing page //
    2023-03-16
  • We Do Data Science Landing page
    Landing page //
    2023-10-17

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.

We Do Data Science features and specs

  • Specialized Expertise
    We Do Data Science specializes in data science solutions, offering expert services tailored for various industries and applications.
  • Comprehensive Services
    The company provides a wide range of services including data analysis, machine learning, and predictive modeling, catering to diverse client needs.
  • Experienced Team
    The team comprises experienced data scientists and analysts who are capable of delivering high-quality and robust data solutions.
  • Client-Centric Approach
    We Do Data Science emphasizes a personalized approach, working closely with clients to understand their unique challenges and develop customized solutions.

Possible disadvantages of We Do Data Science

  • Cost
    Specialized data science services can be expensive, potentially making them less accessible for smaller businesses or startups with limited budgets.
  • Scalability
    Depending on the company’s size and resources, there might be limitations in handling very large-scale or complex projects simultaneously.
  • Niche Market
    Focusing solely on data science may limit the breadth of services compared to larger firms that offer integrated solutions across multiple domains.
  • Availability
    High demand for data science expertise could lead to longer wait times for project initiation or delays in service delivery.

Analysis of Highcharts

Overall verdict

  • Highcharts is a strong choice for those seeking a robust and feature-rich charting library. Its popularity among developers and businesses stems from its reliability and comprehensive feature set.

Why this product is good

  • Highcharts is considered good because it offers a wide range of chart types and is highly customizable. It is known for its detailed documentation, ease of use, and cross-platform compatibility. Additionally, Highcharts provides extensive support and a variety of integrations with popular frameworks, making it a versatile choice for developers.

Recommended for

  • Developers looking for a user-friendly and customizable charting library.
  • Projects that require extensive interactive data visualizations.
  • Businesses that need a reliable and professionally supported charting solution.
  • Teams using web technologies and frameworks like Angular, React, or Vue for front-end development.

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

We Do Data Science videos

No We Do Data Science videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Highcharts and We Do Data Science)
Data Dashboard
79 79%
21% 21
Data Visualization
78 78%
22% 22
Charting Libraries
100 100%
0% 0
Spreadsheets
0 0%
100% 100

User comments

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Reviews

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

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

We Do Data Science Reviews

We have no reviews of We Do Data Science yet.
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Social recommendations and mentions

Based on our record, We Do Data Science seems to be more popular. It has been mentiond 1 time 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.

We Do Data Science mentions (1)

  • [OC] 2020 Average price of carbon emissions
    Tool: wedodatascience.com (a free tool that I made). Source: over 2 years ago

What are some alternatives?

When comparing Highcharts and We Do Data Science, you can also consider the following products

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.

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.

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

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

Google Charts - Interactive charts for browsers and mobile devices.

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...