Best Component Libraries for Python - Page 2

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Generators for classic graphs, random graphs, and synthetic networks. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Network structure and analysis measures.

With BuildVu, you’ll unlock precise PDF-to-HTML/SVG conversion, giving you greater control and added functionality over PDF in your web application. -Optimized Content: BuildVu intelligently converts PDFs, optimizing for smaller file sizes and fast rendering in browsers. -File Metadata: Access PDF data in JSON format, including metadata, word lists, outlines (bookmarks), and annotations. -Thumbnails: Generate high-quality page thumbnails with customizable dimensions. -Annotations: Enjoy support for various annotation types (Links, Popups, Sound/Video, Text, Highlight, Underline) in easy-to-use JSON format. -search.json: Extract all text from the document alongside the HTML content. -Font Conversion: Restructure embedded fonts for compatibility across web browsers. -Office Conversion: Combine BuildVu with LibreOffice for seamless conversion from Office formats (Word, PowerPoint, Excel).

The Vega-Altair open-source project is not affiliated with Altair Engineering, Inc. With Vega-Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code. The key idea is that you are declaring links between data columns and visual encoding channels, such as the x-axis, y-axis, color, etc. The rest of the plot details are handled automatically. Building on this declarative plotting idea, a surprising range of simple to sophisticated plots and visualizations can be created using relatively concise grammar.

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).

SaaS Hammer is a comprehensive Django SaaS template designed to accelerate product development by integrating Django with Hotwire, thereby enhancing productivity and enabling developers to focus on perfecting their products. It offers a modern frontend development workflow utilizing Webpack and SWC (Speedy Web Compiler), complete with live reload functionality for immediate feedback during development. The template incorporates Tailwind CSS for crafting clean user interfaces and provides built-in support for TypeScript. SaaS Hammer includes a component library featuring reusable UI elements such as buttons, modals, tabs, date-time widgets, select widgets, rich text editors, and various chart types, facilitating rapid UI development. Content management, integrates Wagtail CMS, allowing for the swift creation and updating of pages without direct template modifications. The template supports user authentication with features like signup, email confirmation, and more.

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.

Enhance performance and save development time with IMSL numerical libraries. Achieve your strategic objectives using IMSL's build tools. Model regression, make decision trees, establish neural networks, and forecast time series with your IMSL library. Rigorously tested and proven for decades across all industries, the IMSL C Numerical Library gives companies a dependable, high-ROI solution for building cutting-edge analytics tools. From data mining and forecasting, to advanced statistical analysis, the IMSL C Numerical Library can help teams quickly add sophisticated functionality to analytic applications. The IMSL C library makes integration and deployment easy. Enjoy easy migrations, support for common platforms and platform combinations, and no added infrastructure on embed in databases or applications.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. Visit the installation page to see how you can download the package and get started with it. You can browse the example gallery to see some of the things that you can do with seaborn, and then check out the tutorials or API reference to find out how. To see the code or report a bug, please visit the GitHub repository. General support questions are most at home on StackOverflow, which has a dedicated channel for seaborn.

The Pylons web framework is designed for building web applications and sites in an easy and concise manner. They can range from as small as a single Python module, to a substantial directory layout for larger and more complex web applications. Pylons comes with project templates that help boot-strap a new web application project, or you can start from scratch and set things up exactly as desired. A framework to make writing web applications in Python easy. Utilizes a minimalist, component-based philosophy that makes it easy to expand on. Harness existing knowledge about Python. Extensible application design. Fast and efficient, an incredibly small per-request call stack provides top performance. Uses existing and well-tested Python packages. Pylons 1.0 series is stable and production-ready but in maintenance-only mode. The Pylons Project now maintains the Pyramid web framework for future development. Pylons 1.0 users should strongly consider using Pyramid for their next project.