Alternatives to python-docx

This package is designed for independent reuse across any Python project and is maintained by the Zope Toolkit initiative. It serves as an implementation of "object interfaces" within the Python ecosystem. Interfaces act as a way to designate objects as adhering to a specific API or contract, making this package a practical example of applying the Design By Contract methodology in Python. Essentially, interfaces are objects that detail (document) the expected external behavior of the objects that implement them. An interface articulates behavior through a combination of informal documentation within a docstring, attribute definitions, and invariants, which are the necessary conditions that must be satisfied by the objects implementing the interface. Attribute definitions specify particular attributes, outlining their names while offering documentation and constraints regarding the allowed values for those attributes. These definitions can take various forms, allowing for flexibility in how they are expressed. Furthermore, the ability to define interfaces enhances the clarity and reliability of code by ensuring that objects conform to specified behaviors.

Parsel is a Python library licensed under BSD that facilitates the extraction and removal of data from HTML and XML documents using XPath and CSS selectors, with the option to integrate regular expressions. To begin, you create a selector object for the HTML or XML content you wish to analyze. After that, you can utilize either CSS or XPath expressions to target specific elements. CSS serves as a styling language for HTML, defining selectors that link styles to designated HTML elements, while XPath is utilized for selecting nodes within XML documents and can also be applied to HTML. Although both CSS and XPath can be used, CSS tends to offer greater readability, whereas XPath provides capabilities that may not be achievable through CSS alone. Built on top of lxml, parsel selectors incorporate some EXSLT extensions and come with pre-registered namespaces available for use in XPath queries. Furthermore, parsel selectors allow for the chaining of selectors, enabling users to primarily select by class using CSS and seamlessly transition to XPath when the situation demands it, enhancing flexibility in data extraction tasks. This dual capability makes parsel a powerful tool for developers working with web data.

The ROOT data analysis framework is widely utilized in High Energy Physics (HEP) and features its own file output format (.root). It seamlessly integrates with software developed in C++, while for Python users, there is an interface called pyROOT. However, pyROOT has compatibility issues with python3.4. To address this, broot is a compact library designed to transform data stored in Python's numpy ndarrays into ROOT files, structuring them with a branch for each array. This library aims to offer a standardized approach for exporting Python numpy data structures into ROOT files. Furthermore, it is designed to be portable and compatible with both Python2 and Python3, as well as ROOT versions 5 and 6, without necessitating changes to the ROOT components themselves—only a standard installation is needed. Users should find that installing the library requires minimal effort, as they only need to compile the library once or choose to install it as a Python package, making it a convenient tool for data analysis. Additionally, this ease of use encourages more researchers to adopt ROOT in their workflows.

ggplot2 is a framework for creating graphics in a declarative manner, drawing on the principles outlined in The Grammar of Graphics. Users supply their data and specify how to map variables to aesthetics and which graphical elements to employ, while ggplot2 manages the intricate details. Having been around for over a decade, ggplot2 is utilized by hundreds of thousands of individuals, resulting in the creation of millions of plots. This extensive usage typically means that ggplot2 itself remains relatively stable over time. When updates do occur, they are primarily aimed at introducing new functions or parameters rather than altering the functionality of pre-existing ones; any modifications to current behaviors are made only when absolutely necessary. For those who are just beginning their journey with ggplot2, it is advisable to seek out a structured introduction instead of attempting to learn by perusing isolated documentation pages, as this approach will provide a more comprehensive understanding of the system. Engaging with tutorials and resources designed for beginners can significantly enhance your learning experience.

Imageio is a versatile Python library that simplifies the process of reading and writing various types of image data, such as animated images, volumetric data, and scientific formats. It is designed to be cross-platform, compatible with Python versions 3.5 and later, and installation is straightforward. Since Imageio is developed entirely in Python, users can expect a seamless setup. It supports Python 3.5+ and is also functional on Pypy. The library relies on Numpy and Pillow for its operations, and for certain image formats, additional libraries or executables like ffmpeg may be required, which Imageio assists users in acquiring. In case of issues, understanding where to look for potential problems is crucial. This overview aims to provide insights into the workings of Imageio, enabling users to identify possible points of failure. By familiarizing yourself with these functionalities, you can enhance your troubleshooting skills when using the library.

Pyglet is a versatile and user-friendly library designed for Python, enabling the creation of games and visually engaging applications across various operating systems, including Windows, Mac OS X, and Linux. It offers a comprehensive range of features such as window management, event handling for user interfaces, support for joysticks, OpenGL graphics, image and video loading, as well as sound and music playback. The library boasts a user-friendly Pythonic API that is straightforward to grasp, ensuring a smooth development experience. Licensed under the BSD open-source license, pyglet allows for both commercial use and contributions to other open-source projects with minimal restrictions. It requires no external dependencies or complex installation processes, as it operates solely on Python, which streamlines both distribution and installation. This simplicity makes it convenient to bundle your project using tools like PyInstaller. Additionally, pyglet facilitates the use of genuine platform-native windows, giving developers the ability to leverage multiple windows and accommodate multi-monitor setups efficiently. With such capabilities, pyglet stands out as an excellent choice for developers looking to create rich multimedia applications in Python.

Waiting is a compact library designed to facilitate the process of waiting for specific conditions to be met. It fundamentally pauses execution until a designated function returns True, offering various operational modes. Additionally, Waiting is designed to work seamlessly with flux for simulating timelines. The simplest way to utilize it is by providing a function to monitor. It’s straightforward to wait indefinitely; if your predicate yields a value, that value will be returned as the output of wait(). You can also set a timeout, and if this period lapses without the predicate being satisfied, an exception will occur. The library polls the predicate at a default interval of one second, which can be adjusted using the sleep_seconds parameter. When dealing with multiple predicates, Waiting offers two efficient methods for aggregation: any and all. These methods are similar to Python's built-in any() and all(), but they ensure that a predicate is not invoked more than necessary, which is particularly beneficial when working with predicates that are resource-intensive and time-consuming. By streamlining these functions, Waiting enhances both the efficiency and user experience of handling asynchronous operations.

TRichView is a comprehensive collection of native components for Delphi/C++Builder VCL/FireMonkey and Lazarus (Free Pascal) LCL designed for the creation, modification, and printing of intricate rich text documents. This powerful tool can be employed to build sophisticated text editors, authoring tools for web/help/books, chat and messaging applications, planners and journals, multimedia encyclopedias, and various other software that requires a top-tier rich text editor or hypertext interface. It supports multiple platforms under FireMonkey, including Windows and 64-bit macOS. The component suite accommodates a wide range of character formatting options, such as fonts, subscripts/superscripts, and colored text backgrounds, alongside capabilities to incorporate tables, images, footnotes, endnotes, and any Delphi controls within the documents. Users can also achieve different paragraph alignments, set custom margins and indents, create multilevel lists, and utilize background images, while features like print preview and data-aware versions enhance functionality and usability further. Additionally, TRichView's versatility makes it an essential tool for developers aiming to create high-quality applications that involve rich text processing.

The Pylons web framework is tailored for the straightforward and efficient creation of web applications and websites. These applications can vary significantly in size, ranging from a simple Python module to an extensive directory structure suitable for more intricate web solutions. With the availability of project templates, Pylons allows developers to quickly initiate a new web application, or they can opt to create a custom setup from square one to meet their specific requirements. This framework simplifies the process of developing web applications in Python, embracing a minimalist and component-based approach that enhances expandability. It also leverages developers' existing knowledge of Python, promoting an extensible application design that is both fast and efficient. The framework boasts an impressively small per-request call stack, which ensures exceptional performance levels and relies on established, reliable Python packages. While the Pylons 1.0 series is recognized as stable and ready for production, it is currently only in maintenance mode. Moving forward, the Pylons Project has shifted its focus to the Pyramid web framework for ongoing development, and users of Pylons 1.0 are highly encouraged to consider transitioning to Pyramid for their upcoming projects, which offers even more advanced functionalities and support. This transition can significantly enhance the development experience and provide access to new features that are continuously being improved.

Openpyxl is a Python library designed for reading and writing Excel 2010 files in formats such as xlsx, xlsm, xltx, and xltm. The library was developed due to the absence of a native solution for handling Office Open XML files in Python, and it owes its origins to the PHPExcel project. It is important to note that openpyxl does not provide protection against certain vulnerabilities like quadratic blowup or billion laughs XML attacks by default, but these risks can be mitigated by installing the defusedxml library. To install openpyxl, you can use pip, and it's recommended to perform this installation within a Python virtual environment to avoid conflicts with system packages. In some instances, you may want to work with a specific version of the library, especially if there are fixes that have not yet been released officially. Fortunately, you do not need to create an actual file on your filesystem to begin using openpyxl; simply import the Workbook class and begin your tasks. When you create sheets, they are automatically assigned names, and once you rename a worksheet, you can access it using the corresponding key from the workbook. This ease of use makes openpyxl a popular choice for many Python developers working with Excel files.

WTForms is a versatile library designed for form validation and rendering in Python web applications. It seamlessly integrates with any web framework or template engine you prefer, making it a highly adaptable choice. The library offers essential features such as data validation, CSRF protection, and internationalization (I18N), among others. Numerous community-contributed libraries enhance its compatibility with widely-used frameworks, showcasing its flexibility. While we have compiled a list of recognized libraries that work well with WTForms, the absence of a particular library on this list does not imply incompatibility; in fact, most ORMs or object databases should function properly as long as they allow attribute access to their data members. WTForms employs unicode strings consistently throughout its codebase and expects that any form input is converted to unicode by the chosen framework. Since WTForms fields automatically render as unicode strings, you should not encounter any unicode-related issues as long as your templating engine is capable of handling them efficiently. This ease of integration further solidifies WTForms as an essential tool for developers looking to manage forms in their applications.

Zdaemon is a Python application designed for Unix-based systems, including Linux and Mac OS X, that simplifies the process of running commands as standard daemons. The primary utility, zdaemon, allows users to execute other programs in compliance with POSIX daemon standards, making it essential for those working in Unix-like environments. To utilize zdaemon, users must provide various options, either through a configuration file or directly via command-line inputs. The program supports several commands that facilitate different actions, such as initiating a process as a daemon, halting an active daemon, restarting a program after stopping it, checking the status of a running program, signaling the daemon, and reopening the transcript log. These commands can be entered through the command line or an interactive interpreter, enhancing user flexibility. Furthermore, users can specify both the program name and accompanying command-line options, though it's important to note that the command-line parsing feature is somewhat basic. Overall, zdaemon is a crucial tool for managing daemon processes effectively in a Unix environment.

The IP class provides a user-friendly approach to parsing and managing various notations associated with both IPv4 and IPv6 addresses and networks. Drawing significant inspiration from the interface of RIPE’s Perl module NET::IP, it diverges in its implementation strategy. Notably, it does not accommodate non-CIDR netmasks, ruling out unconventional formats like a netmask of 0xffffff0f. This class is capable of recognizing around a dozen distinct formats for expressing IP addresses and networks, effectively distinguishing between IPv4 and IPv6 types. Most methods in the class that yield a string feature an optional parameter called ‘wantprefixlen,’ which dictates whether the prefix length or netmask is displayed. By default, the prefix length is shown when a network encompasses multiple addresses, though these defaults can be modified on an individual object basis through adjustments to the class members. The flexibility in customization ensures that developers can tailor the output to fit their specific needs.

Statsmodels is a Python library designed for the estimation of various statistical models, enabling users to perform statistical tests and explore data effectively. Each estimator comes with a comprehensive array of result statistics, which are validated against established statistical software to ensure accuracy. This package is distributed under the open-source Modified BSD (3-clause) license, promoting free use and modification. Users can specify models using R-style formulas or utilize pandas DataFrames for convenience. To discover available results, you can check dir(results), and you will find that attributes are detailed in results.__doc__, while methods include their own docstrings for further guidance. Additionally, numpy arrays can be employed as an alternative to formulas. For most users, the simplest way to install statsmodels is through the Anaconda distribution, which caters to data analysis and scientific computing across various platforms. Overall, statsmodels serves as a powerful tool for statisticians and data analysts alike.

Starting from version 1.0.0, the library has been entirely rewritten using Typescript and ES6, eliminating the outdated jQuery plugin. The new architecture is based on plugins, resulting in a streamlined core library. Each file found in the dist/css and dist/js directories is available in two formats: the standard versions with .css and .js extensions, and the optimized versions with .min.css and .min.js extensions. For improved page load times and a better user experience on your production website, it is recommended to implement the minified files. Conversely, during development, utilizing the standard files without the .min suffix facilitates easier debugging and code maintenance. This transition not only enhances performance but also modernizes the overall structure of the library.

Leaflet stands out as the premier open-source JavaScript library for creating mobile-responsive interactive maps. At around 42 KB in size, it encompasses all the essential mapping functionalities that developers typically require. The design prioritizes simplicity, efficiency, and user-friendliness. Compatible with all leading desktop and mobile platforms, it offers extensive plugin support, a visually appealing and intuitive API, and an easily navigable source code that encourages contributions. Rather than attempting to cater to every possible need, Leaflet emphasizes perfecting fundamental tasks. The use of hardware acceleration ensures a fluid experience similar to that of native applications. By leveraging CSS3 capabilities, it achieves exceptionally smooth panning and zooming. Additionally, it features intelligent polyline and polygon rendering, which incorporates dynamic clipping and simplification for enhanced speed. The modular architecture allows developers to omit unnecessary features, and it effectively eliminates tap delays on mobile devices, enhancing the overall user experience. This combination of attributes positions Leaflet as an excellent choice for developers seeking a reliable mapping solution.

Kickstart your application using stunning components that follow Material Design principles. React Toolbox offers a collection of React components that adhere to Google’s Material Design guidelines. It leverages modern technologies such as CSS Modules (crafted with SASS), Webpack, and ES6, making it both cutting-edge and user-friendly. The library seamlessly fits into your Webpack setup and boasts a high degree of customization and flexibility. Be sure to explore our exceptional documentation, which itself is created with React Toolbox, and interact with all the components through live demonstrations. We’ve designed a playground feature so you can experience our components without any installation hassle, making the process enjoyable! The app bar serves as a unique toolbar that facilitates branding, navigation, search functionalities, and various actions. Typically, it includes controls on both sides and displays a title that reflects the current section or name of the application. You should enrich the content with child elements, which can include text, images, or a combination of both, all tailored to match your application’s color palette. This enables a cohesive aesthetic throughout your app.

More than 1,600 components and frameworks are included for Windows Forms (WPF, ASP.NET Core), UWP and WinUI (Web Forms MVC, Core), UWP and WinUI (Xamarin and Flutter), Angular, Blazor and Vue, and React. You will find the most requested components like charts, grids and schedulers, diagrams maps gauges docking, ribbons and more! To streamline your business, we work with the best and brightest minds in the industry.

The Polymer library offers a robust set of functionalities for developing custom elements, streamlining the process to ensure they behave like standard DOM elements. Just like conventional DOM elements, Polymer elements can be created through a constructor or by utilizing document creation methods, and they can be configured via attributes or properties. Each instance can contain an internal DOM, adapt to changes in properties and attributes, and receive styling both from internal defaults and external sources, all while responding to methods that alter their internal state. When you register a custom element, you link a class to a specific custom element name, and the element includes lifecycle callbacks to effectively manage its various stages. Additionally, Polymer facilitates property declarations, allowing for seamless integration of your element's property API with the Polymer data system. By employing Shadow DOM, your element gains a locally scoped and encapsulated DOM tree, and Polymer can automatically generate and fill a shadow tree for your element derived from a DOM template, enhancing the modularity and reusability of your code. This combination of features not only simplifies the creation of custom elements but also ensures they integrate smoothly into the wider ecosystem of web components.

Material Design Lite (MDL) serves as a collection of components tailored for web developers, inspired by Google's Material Design Philosophy, which emphasizes a visual language that merges classic design principles with the advancements of technology and science. Grasping the objectives and foundations of Material Design is essential for effectively implementing MDL components. Prior to utilizing these components, it is advisable to familiarize yourself with the Material Design Introduction. When it comes to the dialog component, ensure you are operating in a browser that accommodates the dialog element; as of now, only Chrome and Opera provide native support. For browsers lacking this capability, you will need to either incorporate the dialog polyfill or devise your own solution. After securing dialog support, proceed to create a dialog element, ensuring that when using the polyfill, this element is nested within the body element. Subsequently, within this container, insert a content element that includes the class mdl-dialog content to properly format the dialog. Understanding these steps will enhance your ability to successfully implement dialogs within your web projects.

The websockets library offers a comprehensive implementation of the WebSocket Protocol (RFC 6455 & 7692) for creating both WebSocket servers and clients in Python, emphasizing accuracy, simplicity, durability, and high performance. Utilizing asyncio, which is Python’s built-in asynchronous I/O framework, it presents a sophisticated coroutine-based API that streamlines development. The library has undergone extensive testing to ensure it meets the requirements outlined in RFC 6455, and its continuous integration process mandates that every branch achieves 100% coverage. Designed specifically for production environments, websockets was notably the first library to effectively address backpressure issues before they gained widespread attention in the Python ecosystem. Furthermore, it offers optimized and adjustable memory usage, and utilizes a C extension to enhance performance for demanding operations. The library is conveniently pre-compiled for Linux, macOS, and Windows, and is distributed in wheel format tailored for each system and Python version. With websockets managing the intricate details, developers can dedicate their efforts to building robust applications without concern for the underlying complexities. This makes it an essential tool for developers looking to harness the full potential of WebSocket technology.

An open-source Angular UI component library inspired by Ant Design, this enterprise-level collection of components is freely available under the MIT license. The Ant Design of Angular aims to enhance the development experience for developers. A basic use case can be explored through the provided StackBlitz link, which is recommended to be forked as a starting point for any bug reports; however, it should not be employed as a foundational structure for actual production applications. Once you create a new project and switch to its directory, you can seamlessly execute the necessary commands to set up the project's configuration, which includes importing internationalization files, stylesheets, and loading essential modules. Additionally, you have the flexibility to leverage various scaffolding tools within the Angular ecosystem to tailor the build process to your specific needs. This adaptability allows developers to create unique applications that meet their project's requirements effectively.

Dash & Dash Enterprise allow you to build and deploy analytic web applications using Python, R, or Julia. No JavaScript or DevOps are required. The world's most successful companies offer AI, ML and Python analytics at a fraction of the cost of full-stack development. Dash is the way they do it. Apps and dashboards that run advanced analytics such as NLP, forecasting and computer vision can be delivered. You can work in Python, R, or Julia. Reduce costs by migrating legacy per-seat license software to Dash Enterprise's unlimited end-user pricing model. You can deploy and update Dash apps faster without an IT or DevOps staff. You can create pixel-perfect web apps and dashboards without having to write any CSS. Kubernetes makes it easy to scale. High availability support for mission-critical Python apps

urllib3 is an efficient and easy-to-use HTTP client designed for Python developers. It has become a staple in the Python community, with numerous libraries relying on it for their functionality. This library includes essential features that are often absent in the standard library, such as thread safety, connection pooling, and client-side TLS/SSL verification. Additionally, it supports file uploads with multipart encoding and provides utilities for retrying requests as well as handling HTTP redirects. Furthermore, urllib3 is equipped to handle gzip, deflate, and brotli encoding, and it offers proxy support for both HTTP and SOCKS protocols. With comprehensive test coverage, it stands out as one of the most downloaded packages on PyPI, serving as a vital dependency for widely-used libraries like Requests and Pip. Additionally, urllib3 is distributed under the MIT License, making it accessible for developers. For detailed information, the API Reference documentation serves as a guide for understanding the API, while the User Guide is an excellent resource for learning how to effectively utilize the library for various tasks; if you're looking for advanced configurations, the Advanced Usage guide provides deeper insights into lower-level adjustments. This versatility makes urllib3 a key tool for anyone working with HTTP in Python.

The Python Imaging Library enhances your Python interpreter with advanced image processing features. This library offers a wide range of file format compatibility, an efficient internal structure, and robust image processing functionalities. Its core design focuses on enabling quick access to data in several fundamental pixel formats, serving as a reliable base for general image processing applications. For enterprises, Pillow is accessible through a Tidelift subscription, catering to professional needs. The Python Imaging Library is particularly well-suited for tasks related to image archiving and batch processing workflows. Users can leverage the library to generate thumbnails, switch between file formats, print images, and more. The latest version supports a diverse array of formats, while write capabilities are carefully limited to the most prevalent interchange and display formats. Additionally, the library includes essential image processing features such as point operations, filtering through built-in convolution kernels, and converting color spaces, making it a comprehensive tool for both casual and advanced users alike. Its versatility ensures that developers can efficiently handle various image-related tasks with ease.

Pygame is a collection of Python modules specifically created for developing video games. By building upon the robust SDL library, Pygame empowers developers to craft comprehensive games and multimedia applications using the Python programming language. This library is remarkably versatile, functioning seamlessly across a wide range of platforms and operating systems. Moreover, Pygame is available for free, distributed under the LGPL license, permitting the development of open-source, freeware, shareware, and commercial games. As multi-core CPUs become increasingly common, leveraging these processors enables developers to enhance their game's performance significantly. Certain Pygame functions can release the notorious Python Global Interpreter Lock (GIL), achieving performance improvements typically associated with C code. The library employs optimized C and assembly code for its fundamental operations, resulting in performance enhancements, with C code often being 10 to 20 times faster than standard Python code, while assembly can surpass Python by over 100 times. Pygame is easily accessible on various operating systems, requiring only a simple installation command such as apt-get, emerge, or pkg_add to get started. This accessibility and performance scalability make it an attractive choice for both novice and experienced developers alike.

Bokeh simplifies the creation of standard visualizations while also accommodating unique or specialized scenarios. It allows users to publish plots, dashboards, and applications seamlessly on web pages or within Jupyter notebooks. The Python ecosystem boasts a remarkable collection of robust analytical libraries such as NumPy, Scipy, Pandas, Dask, Scikit-Learn, and OpenCV. With its extensive selection of widgets, plotting tools, and user interface events that can initiate genuine Python callbacks, the Bokeh server serves as a vital link, enabling the integration of these libraries into dynamic, interactive visualizations accessible via the browser. Additionally, Microscopium, a project supported by researchers at Monash University, empowers scientists to uncover new functions of genes or drugs through the exploration of extensive image datasets facilitated by Bokeh’s interactive capabilities. Another useful tool, Panel, which is developed by Anaconda, enhances data presentation by leveraging the Bokeh server. It streamlines the creation of custom interactive web applications and dashboards by linking user-defined widgets to a variety of elements, including plots, images, tables, and textual information, thus broadening the scope of data interaction possibilities. This combination of tools fosters a rich environment for data analysis and visualization, making it easier for researchers and developers to share their insights.

Matplotlib serves as a versatile library for generating static, animated, and interactive visual representations in Python. It simplifies the creation of straightforward plots while also enabling the execution of more complex visualizations. Numerous third-party extensions enhance Matplotlib's capabilities, featuring various advanced plotting interfaces such as Seaborn, HoloViews, and ggplot, along with tools for projections and mapping like Cartopy. This extensive ecosystem allows users to tailor their visualizations to meet specific needs and preferences.

Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.

litex.regon serves as a user-friendly interface for the Polish REGON database by providing a straightforward, Python-based wrapper. To utilize its SOAP API, users must obtain a user key from the administrators of REGON. The REGONAPI requires just one argument, which is the service URL provided by these administrators. Once logged in, users can initiate queries against the database. Queries can be made using a single REGON number (which can be either 9 or 14 digits), a single 10-digit KRS number, or a single NIP (which consists of a 10-digit string). Furthermore, users can query collections of REGONs, KRSs, or NIPs, ensuring that all items in a collection conform to the respective length requirements. The method only processes one parameter at a time, prioritizing the first one provided from the list. Additionally, users can request a more comprehensive report by including the detailed=True parameter, which prompts the search method to return a default detailed report. If a user is familiar with the REGON of a specific business entity and the name of the detailed report, they can retrieve the complete report directly, enhancing the accessibility of information within the database. This feature makes litex.regon a valuable tool for anyone needing detailed insights into Polish business entities.

With BuildVu, you will 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).

DaisyUI serves as a component library for Tailwind CSS, streamlining the development process by offering semantic class names for various UI elements, including cards and toggles. This design choice minimizes the necessity for extensive utility class coding, leading to cleaner and more easily manageable HTML structures. Built atop Tailwind CSS, DaisyUI allows for extensive customization of components with Tailwind's utility classes. It functions purely as a CSS plugin without any JavaScript dependencies, ensuring it remains compatible with different JavaScript frameworks. Installation is simple, and it provides support for limitless themes through customizable color names that leverage CSS variables, making it easy to implement features like dark mode without adding extra class names. Furthermore, DaisyUI integrates seamlessly with Tailwind CSS, providing developers the flexibility to customize every aspect using utility classes. This plugin is designed to work flawlessly across all JavaScript frameworks and does not require a separate JavaScript bundle, making it an efficient choice for developers looking to enhance their UI design process.

Microsoft remains dedicated to ensuring that WinJS remains operational for its current user base. However, there are no current intentions to introduce new features or fulfill feature requests. Bug fixes will primarily focus on addressing critical issues that hinder customer deployments, and we may also look into resolving bugs to assist customers in maintaining their existing WinJS applications. Users can actively participate by reviewing and providing feedback on code submissions, suggesting and experimenting with new features as they are rolled out, reporting bugs, and verifying fixes as they are implemented, along with contributing their own code modifications. It is important to note that any code submissions will undergo a thorough review and testing process by the team, and only those that meet exceptionally high standards for quality and design will be accepted into the main codebase. Furthermore, your involvement can help enhance the overall stability and functionality of WinJS for everyone.

CopyElement provides a vast collection of Elementor components designed to simplify the web development process. With over 650 components ranging from navigation bars to full-page sections, CopyElement helps web designers quickly create stunning, fully responsive websites. The platform allows users to copy components with one click, easily customize them, and integrate them into their projects. Available for free, with premium options for advanced features, CopyElement saves time and boosts productivity for agencies and freelance designers.

Bit offers a flexible and collaborative approach to constructing and reusing components, encompassing everything necessary for local development and cross-project collaborations. Experience it at no cost. As an open-source toolchain tailored for component-driven development, Bit encourages a shift away from monolithic applications towards a more modular software architecture. It allows for the distribution of component ownership among various development teams, making it simpler to replace and refactor components as needed. This fosters the establishment of development standards and consistency across teams and products, enabling the combination of existing components into new creations without the need to reinvent solutions. Build a composable design system and user interface that ensures consistency and reusability in UI software. Promote the distribution of both code and teams while enhancing autonomy and maintaining standards. This approach supports scalable collaboration across teams and helps connect design, development, and product management effectively. Moreover, it facilitates the creation of a scalable backend that evolves without redundancy, ensuring that each component serves a distinct purpose.

Components designed for global use and accessibility are available to all. Thorough testing has been conducted to guarantee both performance and reliability. The APIs are intuitive and exhibit consistent behavior across various platforms. Developers are equipped with tools to create their own custom components that adhere to widely accepted interaction patterns. These components can be tailored while still complying with the guidelines of the Material Design specification. Created by the Angular team, they are designed to integrate effortlessly with Angular applications. Whether starting anew or incorporating them into existing projects, the process is seamless. To begin, focus on setting up the autocomplete panel along with the options that will populate it. Each option can be represented using a mat-option tag, with its value property assigned to whatever you wish the text input to reflect when that option is chosen. Additionally, this flexibility allows for a highly customizable user experience.

A business system is only valuable if it facilitates informed decision-making, making it essential for decision-makers to analyze data from various perspectives. Enabling end-users to access the information they require immediately enhances the software's worth, decreases user attrition, and offers a significant edge over competitors. Typically, it can take several workdays to incorporate a new report into an IT framework, and managing numerous reports can overwhelm developers, which often delays the release of new software versions. With Active Query Builder, users gain the ability to take charge of their own report creation and management. They can modify reports at any time without needing assistance from your team, streamlining the process significantly. If your application already features a reporting system, integrating Active Query Builder will enhance its functionality by enabling the creation of additional data sources for reports. This not only empowers users but also optimizes the overall reporting process, ensuring that businesses can respond swiftly to changing data needs.

Experience a seamless development process with instant setup, utilizing the familiar technologies you already appreciate—JavaScript, HTML, and CSS. If you're concerned about the performance of PhoneGap or Cordova applications, there's no need to worry! Onsen UI ensures that all animations are finely tuned and optimized for smooth performance across a diverse range of devices. We prioritize delivering a fluid experience for apps created with Onsen UI, even on less powerful devices. This framework is not only straightforward to master but also a robust solution for developing intricate mobile applications. A wealth of learning materials is available, including comprehensive documentation, an interactive tutorial, and a supportive community forum where you can get your queries resolved. Onsen UI boasts a wide array of UI components specifically crafted for mobile applications, offering features like tabs, side menus, stack navigation, and numerous other components such as lists and forms, allowing developers to create user-friendly interfaces effortlessly. With its extensive toolkit, Onsen UI empowers you to design engaging mobile experiences with ease and confidence.

Unlock the potential of your .NET enterprise applications with these innovative, dependency-free spreadsheet components. Designed for professional developers, .NET spreadsheet components provide comprehensive Excel-like capabilities for desktop software. Featuring support for both Excel import and export, extensive cell customization options, and a robust calculation engine boasting over 450 functions, these components operate without any reliance on Excel. Utilize the comprehensive .NET spreadsheet API along with its powerful calculation capabilities to build applications for analysis, budgeting, dashboards, data collection and management, scientific needs, and financial solutions. Each platform of Spread.NET is engineered to deliver optimal performance and speed, ensuring your enterprise applications run smoothly, while its modular design allows you to integrate only the features you require for your .NET spreadsheet solutions. Additionally, this flexibility makes it easier to scale your applications as business needs evolve.

It's as straightforward as Angular combined with Bootstrap CSS—nothing more. If you're familiar with Angular, then ng-bootstrap will also be within your grasp. You'll find all the familiar Bootstrap components such as carousels, modals, popovers, tooltips, and navigation, along with extra features like datepickers, ratings, and typeahead functionality. Every piece of code has been thoroughly tested to ensure nearly complete coverage, and all modifications undergo careful scrutiny; we prioritize quality above all else. Accessibility is a core principle for all our widgets, utilizing the appropriate HTML elements and necessary ARIA attributes. Keyboard navigation and focus management are implemented to function flawlessly. Our team is behind the creation of angular-ui/bootstrap, and we have dedicated many years to developing these widgets. Several of our team members contribute to the core Angular framework, reinforcing our commitment to the community by enhancing the projects we utilize, such as Angular and Bootstrap. In doing so, we ensure that our work benefits others while maintaining the highest standards of development.

CVXOPT is an open-source software library designed for convex optimization, leveraging the capabilities of the Python programming language. Users can interact with it through the Python interpreter, execute scripts from the command line, or incorporate it into other applications as Python extension modules. The primary goal of CVXOPT is to facilitate the development of convex optimization software by utilizing Python's rich standard library and the inherent advantages of Python as a high-level programming tool. It provides efficient Python classes for both dense and sparse matrices, supporting real and complex numbers, along with features like indexing, slicing, and overloaded operations for performing matrix arithmetic. Additionally, CVXOPT includes interfaces to various solvers, such as the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and solvers for linear, quadratic, and second-order cone programming available in MOSEK, making it a versatile tool for researchers and developers in the field of optimization. This comprehensive set of features enhances its utility in tackling a wide range of optimization problems.

Synap Office is an online office suite powered by Naver Office that operates in the cloud. You can effortlessly create and modify documents in various formats such as MS Office directly from your web browser, eliminating the need for application installation. This flexibility allows you to engage in document-related tasks from any location at any time. It supports MS Word formats, including doc, docx, and hml, while preserving table layouts and enabling convenient table edits. Additionally, it offers diverse options for fonts, paragraph formatting, and various styles for headings and footnotes. Users can also edit documents that are password-protected. Furthermore, it is compatible with MS PowerPoint, providing features for screen transitions and object animations. You can manage slide templates, utilize over 140 shapes, and perform object editing while inserting images, shapes, memos, and text. For password-secured documents, editing remains an option. The platform also allows for straightforward questionnaire creation with templates, enabling users to add items freely and select types. Surveys can be easily shared via URL, email, or blog, and the results can be viewed in summary graphs, with the response data seamlessly integrated with Synap Cell for enhanced analysis. This makes Synap Office a powerful tool for both document creation and data management.

NetworkX is a Python library designed for constructing, altering, and analyzing the intricacies, behaviors, and functionalities of complex networks. It offers generators for various types of graphs, including traditional, random, and synthetic networks. The advantages of using Python further enhance the experience, providing quick prototyping capabilities, ease of learning, and compatibility across multiple platforms. Additionally, it facilitates a comprehensive examination of network structures and the application of various analytical measures. This makes NetworkX an invaluable tool for researchers and practitioners in the field of network science.

Beautiful Soup is a powerful library designed for the straightforward extraction of data from web pages. It operates on top of an HTML or XML parser, offering Pythonic conventions for traversing, searching, and altering the parse tree. Support for Python 2 was officially ended on December 31, 2020, precisely one year after Python 2 reached its end of life. Consequently, all new developments for Beautiful Soup will now be exclusively focused on Python 3. The last version of Beautiful Soup 4 that provided support for Python 2 was 4.9.3. Additionally, Beautiful Soup is distributed under the MIT license, allowing users to easily download the tarball, incorporate the bs4/ directory into nearly any Python project or library path, and begin utilizing its capabilities right away. This accessibility ensures that developers can quickly integrate web scraping functionalities into their applications without significant barriers.

Mako offers a user-friendly, non-XML syntax that compiles into Python modules, ensuring optimal performance. Its syntax and API draw inspiration from various sources, such as Django, Jinja2, Cheetah, Myghty, and Genshi, integrating the best elements from each. At its core, Mako functions as an embedded Python language (akin to Python Server Pages), enhancing conventional concepts of componentized layout and inheritance to create a highly efficient and adaptable model. This design maintains a close relationship with Python's calling and scoping semantics, allowing for seamless integration. Since templates are ultimately compiled into Python bytecode, Mako's methodology is remarkably efficient, having been designed to match the speed of Cheetah initially. Presently, Mako's performance is nearly on par with Jinja2, which employs a similar technique and was influenced by Mako. Furthermore, it can access variables from both its enclosing scope and the request context of the template, providing additional flexibility for developers. This capability allows for greater dynamic content generation in web applications.