Best Component Libraries for Visual Studio Code

Compare the Top Component Libraries that integrate with Visual Studio Code as of October 2026

This a list of Component Libraries that integrate with Visual Studio Code. Use the filters on the left to add additional filters for products that have integrations with Visual Studio Code. View the products that work with Visual Studio Code in the table below.

What are Component Libraries for Visual Studio Code?

Component libraries are preconfigured sets of components, designs, styles, and code that enable developers and designers to build and design applications in a more efficient and streamlined way. A component library, also known as a UI component library, can be used across programming languages and frameworks to speed up and simplify design and development. Compare and read user reviews of the best Component Libraries for Visual Studio Code currently available using the table below. This list is updated regularly.

  • 1
    List & Label
    List & Label is a reporting SDK designed to help developers add reporting, printing, previewing and export capabilities to web, cloud and desktop applications. It seamlessly integrates into environments such as .NET 8/9/10, .NET Framework 4.x, C#, C/C++, Delphi/VCL and ASP.NET Core MVC. Developers can connect to various data sources and add flexible options for designing, generating and distributing reports. With the WYSIWYG Report Designer, developers and end users can create or edit report templates from database or other sources, and prepare that data for printing, previewing or exporting. For web applications, the browser-based Web Report Designer for ASP.NET MVC enables teams to design report templates in the browser, offering greater flexibility and reducing dependency on local design tools. List & Label Cross Platform brings reporting to modern cross-platform .NET applications, generating reports on Windows, Linux, macOS, iOS and Android without native dependencies.
    Starting Price: €740/license
  • 2
    NumPy

    NumPy

    NumPy

    Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
    Starting Price: Free
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