Dev components for report applications
When developing a functional and convenient web-based reporting and visualization tool it’s important to pay attention to all possible data visualization tools. There are plenty of them:
- calendars and more.
In this article, we tried simplifying your decision-making process by reviewing our favorite data visualization web components.
Charts are truly iconic visualization that everyone should have. Simply because these figures are much more understandable and can reveal some even hidden insights within the data.
Chart.js is an open-source and freely available web reporting tool found on GitHub that enables you to use the HTML5 canvas feature. It offers a user-friendly experience and remarkable flexibility, allowing rich customization. With Chart.js, you can define styles, legends, fonts, animations, and chart behavior according to your needs.
- 8 types of charts and graphs: Line, Linear with Areas, Bar, Pie, Radar, Polar, Bubble and Scatterplot (Scatter).
- All types are responsive when working on the web and can be animated.
- The functionality can be extended through the use of plugins.
- IE11+ browser support.
- Big community. A lot of information, posts, tutorials on StackOverflow, and other resources.
- Don’t support advanced chart types such as heat maps or network diagrams
- Can have performance issues with large datasets
Chart.js is a simple and stylish app development tool, perfect for those who need a simple solution and don’t require an extensive range of chart options.
Its main features are:
- the ability to analyze data “in-depth” (drill-down) and other well-developed interactive options,
- well-written documentation describing all the necessary methods,
- awesome graphs animation,
- integration with React, Angular, Vue, Ember, and ready plugins for WordPress,
- “Live” graphics, full customization, and accessibility in accordance with W3C standards.
- Price. There are free and commercial licenses. The commercial licenses can be really expensive
- Can be hard for beginners.
In fact, you just need to browse their page and see all the examples of what you can create. This is not the easiest library to work with – but if you need powerful, complex visualization, you are in the right place.
Apache ECharts provides more than 20 kinds of charts as well as maps and 3D charts, along with a dozen components, and each of them can be arbitrarily combined to use.
- Easily switch between Canvas and SVG rendering.
- Support data transforms like filtering, clustering, and regression to help analyze multi-dimensional data.
- High performance
- Powerful declarative API for customizing and theming charts
- An active international community that contributes a wealth of third-party extensions.
According to the last point, there are a lot of forks on Github with different components based on this library. Take a look at this example for the Vue.js framework.
D3 is more than just a library it’s more like a framework that follows a data-driven approach to DOM manipulation than a library.
Working with D3 can beinitially challenging, but its ability to create stunning original renderings and any graphics from scratch makes D3 a worthwhile tool.
Furthermore, there are tons of platforms and tutorials available, such as Observable, to explore and learn from.
Most of the other charting libraries are built on the D3. One of them is C3.js – a reusable chart library that makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. It’s quite a customizable library that provides a variety of APIs and callbacks to update the chart even after it’s rendered.
In addition, there are many components that are designed specifically for a particular framework and are sharpened for its features. Here is some for them:
- React-vis – a special React visualization library,
- visx – a collection of reusable low-level data visualization components based on React and D3,
- vue-d3-network – Vue component to graph networks using d3-force,
- nivo – a rich set of data visualization components, also built on top of D3 and React libraries.
Tables are the minimal data structuring, which in fact is also a visualization. Tables are easier to read, easier to search in, and easier to display than charts or maps.
Many of the features greatly simplify the process of creating applications:
- It works with all major frameworks and web platforms,
- grouping data,
- a large set of built-in filters,
- the ability to create your own cell editors,
- complex sorting of large databases,
- real-time data update,
- and lots of customization options.
- Troubles with integration with third-party libraries
- Hard for big projects
Enterprise-grade React Data Grid component that provides a lot of features: sorting, paging, filtering, grouping, locked columns, context menu, row details and many more. This grid component was developed specifically with React ensuring seamless integration and optimal performance.
- Live pagination
- For small projects
Feature-rich and customizable data grid React component. Seamlessly integrating with other React components and libraries, offers big set of features including sorting, filtering, grouping, virtual scrolling, cell editing, and numerous others.
- Excel-like feature set
FlexGrid for WinForms is a powerful and flexible data grid control provided by ComponentOne, a part of GrapeCity. Control is packed with basic as well as advanced features like in-cell editing, sorting, filtering, merging, grouping, and much more.
- Export in PDF, Excel, CSV, HTML
- Hard for beginners
DataTableDev is a new library for the instant display of massive datasets. All main manipulations with data like scrolling, searching, or filtering are entirely smooth and intuitive, with immediate results and no delays at all. All your data is right in front of you, ready to be discovered, with immediate access to every record.
- Promising demo (allows you to test the approach on a 1.6 GB file with 11 million)
- Speed and performance
- Still in development
Has lots of features, such as:
- Sorting and filtering,
- Ajax and Files data,
- Flexible CRUD,
- Integration with charts and modern frameworks,
- Form module,
- Touch Support and others.
The smart modules system automatically detects as well as loads needed modules. Besides this large list, the library has great documentation and a lot of examples to examine the capabilities of FancyGrid to the fullest.
Pivot tables are universal data analysis soldiers. No one works better than them with grouping and hierarchical data and does not help statistical calculations.
- sorting and filtering,
- slicing and dicing through data,
The last point is actually more interesting than you think because PivotJS has such a unique feature as ‘Table Bar Chart’ – this option puts an appropriately skewed bar in each of the table cells, representing the value.
The beginning of work with this component is super-straight forward and informative documentation will help you to customize the pivot grid in your own way.
- Limited customization
- Performance issues with large datasets
- No updates since 2016
Now we’ll tell a bit more about our pivot table. WebDataRocks Pivot is a web-based pivot table component that provides powerful data analysis and visualization capabilities. It enables developers to integrate interactive pivot tables into web applications, allowing users to explore and analyze their business datasets with ease. With this component, you can have a very quick start embedding the pivot into your project.
- 100% free
- Cross-platform compatibility
- Advanced customization
- drilling down and filtering,
- customizing the look and feel of the grid,
- number and conditional formatting,
- user friendly UI,
- Exporting and sharing.
- 1MB data limit
You can localize the component and translate it to your language, change the layout of reports, or customize the Toolbar and context menu – everything you need for insightful reporting and even more.
Flexmonster is a powerful web-based pivot table and charting component that provides advanced data analysis and reporting capabilities. It is an advanced commercial version of WebDataRocks. It has all the same functionality and a lot more. The pivot component also includes:
- built-in pivot charts,
- expanded customization options for all parts of the pivot
- Integration with the most popular frameworks
- extended localizations
- Chart integration
- High performance with big datasets
- Custom data source API for communication with your server.
The product is one of the most customizable pivot grids on the market: on the website, you can view the extensive list of possible customization options and examples.
DevExtreme Pivot is a powerful component provided by DevExpress that offers comprehensive pivot table functionality for web applications. DevExtreme Pivot Grid provides extensive customization options that empower end-users to organize and present data in the most effective way.
- Integration with charts
- Rich customization functionality
- Connecting to OLAP
- Not updated regularly
- Licensing and cost
Calendars and kanbans
Сalendars and kanbans are mainly used to visualize and organize workflows, but they are also a very frequent request in the reporting software.
jKanban is an open-source component designed for the effortless creation and management of Kanban boards to streamline workflow organization. The widget looks minimalistic and supports comfy drag & drop that makes it quite pleasant in the end-use.
- Easy API
- User-friendly interface
- Not updated since 2021
Although it is a simple component, it remains highly practical and can be implemented swiftly.
Besides the ordinary kanban features the component will provide:
- Assigning tasks to a teammate
- Tracking time and deadlines
- Filtering and searching
- Attachments to cards
- Easy integration with Angular, React, and Vue.js
- Limited customization
Also, FullCalendar suggests:
- 7 built-in views and the ability to create your own with their APIs,
- international localization and time zones,
- accessibility and touch support,
- and greatly extended documentation.
- Wide customization option
- Interactive and responsive UI
- integration with various data sources, including JSON, REST APIs, or local storage.
- Integration with other Telerik components
- Feature-rich calendar functionality (support for displaying events, appointments, tasks, or any time-based information)
- client-side API
Вy combining these libraries, you can assemble your own project as a constructor or puzzle. Of course, each component has its own characteristics and limitations, but also provides many customization options and is flexible. And of course – no one bothers you to make your own add-ons and improve these technologies in the places you need. So go on and create more!
Also, we would love to know what you think about this list: maybe you have some other suggestions or cool products on your mind and stack? Share them with us!
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