Best Component Libraries for Dash

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.

pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form.Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data.

Software requirements are increasing exponentially, but your team's capacity is not! Qt 6's tools & APIs empower designers and developers to create more! Build consistently branded 2D & 3D applications with a custom or native look & feel, using designer and developer-friendly tools, a leaner, yet more powerful QML language, and a flexible graphics architecture. From microcontrollers (MCUs) to supercomputers, Qt 6 and our massive ecosystem provide everything you need to design, develop, and deploy software for your entire product line. Create applications that are beautiful in the front end and powerful in the back end, with the same codebase for any hardware, any OS, or bare metal. Qt Group is a global software company with a strong presence in more than 70 industries and is the leading independent technology behind 1+ billion devices and applications. Qt is used by major global companies and developers worldwide.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).