The Data Visualization Libraries Software market is experiencing robust growth, driven by the increasing need for businesses to effectively analyze and present complex data. The market, estimated at $2 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $6 billion by 2033. This expansion is fueled by several key factors. The rise of big data and the subsequent demand for intuitive data interpretation are primary drivers. Businesses across all sectors—from large enterprises leveraging sophisticated analytics to SMEs seeking efficient reporting tools—are increasingly reliant on data visualization libraries to gain actionable insights. Furthermore, the shift towards cloud-based solutions offers scalability, accessibility, and cost-effectiveness, accelerating market adoption. Technological advancements, including the development of interactive dashboards and advanced visualization techniques such as augmented reality and virtual reality integration, are also contributing to market growth. While the on-premises segment continues to hold a significant share, the cloud-based segment is experiencing faster growth due to its flexibility and ease of deployment. Competition within the market is intense, with established players like Syncfusion, Google, and Highsoft AS alongside emerging players like Chart.js and ApexCharts vying for market share through innovation and strategic partnerships. Geographical distribution reveals strong growth in North America and Europe, driven by early adoption and robust digital infrastructure, while Asia-Pacific is emerging as a significant market with high growth potential due to rapid technological advancements and increasing digitization across various sectors. Despite the positive outlook, certain restraints exist. The complexity of some libraries may pose a challenge for users with limited technical expertise. Security concerns related to data handling and integration with existing systems also pose a hurdle for some businesses. Furthermore, the market is subject to fluctuations in technology trends and the emergence of alternative data analysis methods. However, continuous innovation, improved user interfaces, and the increasing availability of training and support resources are expected to mitigate these challenges and further propel market growth in the forecast period. The segmentation of the market by application (large enterprises, SMEs) and type (cloud-based, on-premises) provides a nuanced understanding of market dynamics and allows for targeted strategies by vendors. Future growth is anticipated to be driven by the continued integration of data visualization libraries within business intelligence (BI) tools and the increasing adoption of these libraries in diverse applications such as healthcare, finance, and manufacturing.

The data-comparison extension for CKAN provides a means to compare data from CSV or XLSX files through visualization. Targeted at CKAN 2.9, this plugin enhances data analysis capabilities by allowing users to visually compare datasets directly within the CKAN environment. This facilitates a more intuitive understanding of data variations and trends. Key Features: CSV/XLSX File Comparison: Allows direct comparison of data contained in CSV and XLSX file formats. Visualization: Leverages visualization tools to present the data comparison results. Chart.js Integration: Employs Chart.js library for creating interactive and customizable charts used in the visualization process. Technical Integration: The data-comparison extension integrates with CKAN by adding a plugin that needs to be activated via the ckan.plugins setting in the CKAN configuration file (/etc/ckan/default/ckan.ini). It also requires the installation of Chart.js using npm to render the visualizations. After installing the extension and modifying the CKAN configurations file, CKAN needs to be restarted for the changes to take effect. Benefits & Impact: Implementing the data-comparison extension offers several benefits, especially for data-driven organizations. By providing visualization-based comparison of datasets, it enables quicker insights and potentially more informed decision-making.

List of repositories included in the dataset

Project Language Fetched Count Url

Moby Go 5 943 https://github.com/moby/moby

Rxjava Java 516 https://github.com/RxJava/ReactiveX

Spring-framework Java 2 529 https://github.com/spring-framework/spring-project

Chart.js Javascript 641 https://github.com/Chart.js/chartjs

Three.js Javascript 1 512https://github.com/three.js/mrdoob

Redux Javascript 592 https://github.com/redux/reduxjs

React-native Javascript 2 901… See the full description on the dataset page: https://huggingface.co/datasets/mamiksik/processed-commit-diffs.

The Basic Charts extension for CKAN provides the ability to display data from DataStore resources as interactive charts. This extension adds several chart types to the resource view options within CKAN, visualizing data in accessible formats. Utilizing the Flot Charts JavaScript library, it offers compatibility across a wide range of browsers, including older versions like IE6+. Key Features: Line Chart Visualization: Creates line charts to display trends and relationships between data points over a specified axis, suitable for analyzing changes over time or continuous variables.

The Data Comparision extension for CKAN allows users to compare data from CSV and XLSX files through visualizations. This extension aims to enhance data analysis capabilities within CKAN by providing a direct visual comparison of data sets, facilitating a better understanding of the content. The extension is compatible with CKAN 2.9, providing an extended feature set for data comparison. Key Features: CSV/XLSX Data Support: Enables the comparison of data stored in common tabular formats such as CSV and XLSX files by leveraging the extension's visualization capabilities. Visual Data Comparison: Supports visualizing the data for side-by-side comparisons, allowing users to easily identify differences and similarities between datasets. Chart.js Integration: Relies on Chart.js library for generating data visualizations, specifically for the comparison feature. This ensures compatibility and a wide selection of chart formats. Technical Integration: The extension needs to be added to the ckan.plugins setting in the CKAN configuration file (/etc/ckan/default/ckan.ini by default). It also requires installing Chart.js via npm. After these configurations and a CKAN restart, the plugin extends CKAN's user interface with data comparison features. Benefits & Impact: By facilitating a comparative view of data stored in CSV and XLSX formats, the Data Comparison extension reduces the effort needed to analyze datasets. This enables better decision-making based on clear, visually represented data comparisons. Because the data is visualized, differences and similarities are noted quicker than non-visualized data.

Node.js overtook React.js to become the most used web framework among software developers worldwide, as of 2024. According to the survey, 40.8 percent of respondents reported to be using Node.js, while around 39.5 percent were using React.js. Web framework A web framework, or what may sometimes be referred to as a web application framework is a software framework that supports the overall software development of web applications. Web frameworks are utilized to automate menial activities typically performed within web development. In other words, it simplifies the web development process and, therefore, makes it easier to build a website. JavaScript As aforementioned, before being overtaken by React.js, jQuery had been the most used web framework out of the millions of software developers throughout the world. Simply put, jQuery is a cross-platform JavaScript library, that simplifies the usage of JavaScript on websites. While jQuery may be losing popularity, JavaScript still remains one of the most popular programming languages used by software developers worldwide. Throughout the world, programming languages are associated with different salaries. JavaScript programmers are associated with a global salary of 65,580 U.S. dollars, while the salary associated with JavaScript programmers in the United States is significantly more, at 112,000 U.S. dollars.

The ckanext-plotly extension provides CKAN users with the ability to create and view charts using plotly.js and the Plotly react-chart-editor. It enables integration of interactive data visualization directly within the CKAN platform, making data more accessible and understandable. The extension leverages the capabilities of Plotly's JavaScript library to generate rich and customizable charts from CKAN datasets. Key Features: Plotly.js Integration: Uses plotly.js, an open-source JavaScript charting library, to render a wide variety of interactive plots directly within CKAN.