Best Component Libraries for Linux of 2024

Leaflet is the most popular open-source JavaScript library to create mobile-friendly interactive maps. It is only 42KB in size and has all the mapping features that most developers need. Leaflet was designed to be simple, fast, and easy to use. It is compatible with all major mobile and desktop platforms. It can be extended with many plugins. It has a beautiful, well-documented API that is easy to use and readable source code that makes it easy to contribute. Leaflet isn't trying to be everything to everyone. Leaflet focuses on the essentials and makes them work perfectly. Mobile apps feel as smooth as native apps thanks to hardware acceleration. CSS3 features are used to make zooming and panning very easy. It's very fast thanks to smart polyline/polygon rendering that includes dynamic clipping and simplifying. Modular build system allows you to leave out features that you don't use. Mobile tap delay elimination

The Polymer library offers a variety of features that allow you to create custom elements. These features make it easy and faster to create custom elements that function like standard DOM elements. Polymer elements can be created using a constructor, document creation element, and configured using attributes and properties. Each instance is responsive to changes in property and attribute, styled with externally or internal defaults, and responsive to methods to modify its internal state. Registering an element creates a class that associates it with a custom name. To manage an element's lifecycle, the element provides callbacks. Polymer allows you to declare properties. This allows you to integrate your element’s property API with the Polymer database system. Shadow DOM creates a local, encapsulated tree of DOM for your element. A DOM template can be used to automatically create and populate a Shadow Tree for Polymer.

Microsoft is committed to ensuring that WinJS runs for existing customers. We don't plan to invest in new features. Only bug fixes that address major issues that are preventing customer deployments will be considered. We may also consider bug fixes in order to assist customers with their WinJS-based apps. Contribute by reviewing code checkins and providing feedback, suggesting new features and testing them out as they are implemented. You can also submit bugs and help us verify fixes as they are tested. All code submissions will undergo rigorous review and testing by the team. Only those that meet a high standard for quality and design appropriateness, will be merged into source.

Many domains have shown program autotuning to be more efficient and portable. Autotuners are not always portable between projects. This is because they need to be able to use a domain-informed search space representation. Also, no single search technique will work for all problems. OpenTuner is a new framework that allows you to create multi-objective, domain-specific program autotuners. OpenTuner allows for fully customizable configuration representations and extensible technique representations to allow for domain-specific methods. It also provides an easy-to use interface for communicating with the tuned programs. OpenTuner allows you to use multiple search techniques simultaneously. Techniques that perform well will get larger testing budgets while techniques that perform poorly will be disabled.

Oracle Data Access Components are a collection of Windows and.NET data accessibility drivers and tools. They support.NET data access, Microsoft Visual Studio tools to develop Oracle database applications, and ASP.NET providers. ODAC offers comprehensive client support for advanced Oracle database functionality. This includes performance, high availability, security, and many other features. Visual Studio is seamlessly integrated with ODAC to offer developers a seamless development experience. Oracle Data Provider is a Microsoft implementation of ADO.NET that provides access to Oracle databases. OLAP Data Manipulation Language is used to create and manipulate analytic workspace objects. It is a high-performance, feature-rich tool for Microsoft ADO and OLE DB access to Oracle databases. It also allows for its configuration and usage. This section provides information about the usage, installation, configuration, and post-installation.

Parsel is a BSD licensed Python library that extracts and removes data from HTML and XML. It uses XPath, CSS selectors and regular expressions. Make a selector object to parse the HTML or XML text. Next, use CSS or XPath expressions for selecting elements. CSS is a language that allows you to apply styles to HTML documents. It defines selectors that allow you to associate styles with specific HTML elements. XPath, which can be used with HTML, is a language that allows you to select nodes from XML documents. You can choose to use CSS or XPath. While CSS is more readable than XPath, some things cannot be done with XPath. Parsel selectors are built on top of lxml and support certain EXSLT extensions. They also come with pre-registered namesspaces for use in XPath statements. Parsel selectors let you chain selectors. This means that you can select by class using CSS, and then switch to XPath if necessary.

Pygame is a collection of Python modules that can be used to create video games. Pygame is an extension of the SDL library. This allows you create full-featured games and multimedia programs using the python programming language. Pygame is portable and can be used on almost every platform and operating system. Pygame is completely free. Pygame is free and open-source. You can use it to create commercial, freeware, shareware, or open-source games. Dual-core CPUs are common and 8-core CPUs easily available on desktop systems, multi-core CPUs allow you to do more with your game. Select pygame functions will release the dreaded Python GIL. This is something you can do with C code. Optimized C and assembly code are used for core functions. C code is often 10-20x faster than Python code, while assembly code can easily be 100x faster than Python code. It is compatible with many operating systems. You just need to apt-get or emerge.

This is Ant Design's internal standard to evaluate design quality. We have added the values of "Meaningfulness", and "Growth" to Ant Design's internal standard for evaluating design quality. This is based on the assumption that everyone seeks happiness at work. Ant Design React is committed to providing a great development experience for programmers. It is recommended that you first learn React and ES2015. Then, install and configure Node.js v8 and above correctly. The official guide assumes intermediate knowledge of HTML, CSS, JavaScript, and react. It may not be a good idea to start with the UI framework if you are just beginning to learn React or front-end.

Every app developer's dream is Antiqueruby Native Material Design UX Components. The app template is attractive and saves developers hours of work. It provides them with clever UI and UX components that allow them to personalize their apps. Material Design was used to create this template, which has over 140 screens for sign-ins, sign-ups and social media. It's no surprise that React Native Material Design Ui Components has become a CodeCanyon bestseller.

Aptugo's visual interface makes it easy to create scalable Web and Mobile Apps. You have complete control over your source code and can access endless possibilities. Aptugo allows you to create any Web or Mobile App faster and with proven quality standards. Aptugo offers more than 100 components that you can drag and drop. They can be customized and re-used endlessly. Developers can create new elements with their own DNA to drag, drop, and reuse within their library. Aptugo has more than 100 elements that can be dragged, dropped and reused. You can also create and add your own components. You can adapt components to any programming language. Expert developers can create and define elements using their own code. It can be any element from either the front or back-end: charts and maps, forms, and a LinkedIn API connector. The sky is the limit!

Belle offers a collection of React components such as Toggle, ComboBox and Rating, TextInput, TextInput, Button and Card, Select, and many others. All components are optimized for use on both mobile and desktop devices. The styles can be customized on two levels. You can modify the individual components individually or configure the base styles.

The Python multi-platform windowing and multimedia library. pyglet, a powerful and easy-to-use Python library, allows you to create games and other visually rich applications on Windows, Mac OS X and Linux. It supports windowing, user event handling, Joysticks and OpenGL graphics. It also supports loading images and videos. This is all done with a friendly Pythonic API that's easy to use and doesn't get in the way. pyglet is available under the BSD open source license. This allows you to use it for commercial and open-source projects without restriction. No external dependencies or installation requirements. pyglet doesn't require any additional Python to meet most application or game requirements. This simplifies distribution and installation. This makes it easy for you to package your project using freezers like PyInstaller. pyglet offers real platform native windows that allow you to use multiple windows and multi-monitor desktops.

Bokeh allows you to create simple plots but can also handle custom or specialized use cases. Apps, dashboards and plots can be published on web pages or in Jupyter notebooks. Python offers a wide range of powerful analytics tools, including NumPy and Scipy, Pandas. Scikit-Learn, OpenCV and Scikit-Learn. Bokeh server allows you to connect these tools to rich interactive visualizations in your browser. It has a wide range of widgets, plot tools and UI events that trigger Python callbacks. Researchers at Monash University maintain Microscopium. Researchers can use it to explore large image datasets using Bokeh's interactive tools. Panel is a tool that allows for polished data presentation and makes use of the Bokeh server. Anaconda created it and supports it. Panel allows you to easily create interactive web apps and dashboards using user-definable widgets. These widgets can be connected to plots, images or tables, text, or any other data.

The ROOT data analysis framework can be used extensively in High Energy Physics (HEP). It also has its own output format (.root). ROOT can be interfaced with C++ software. pyROOT is a Python software tool. Unfortunately, pyROOT is not compatible with python3.4. broot is a small library which converts data from python numpy to ROOT files. These ROOT files contain trees with a branch each array. This library provides a generic way to convert python numpy datastructures into ROOT files. The library should be portable, and it should support python2, ROOT v5 or ROOT v6 (no modifications to the ROOT part required). The library should be easy to install. Users will only need to compile the library once.

PyQtGraph is a pure Python graphics and GUI library based on PyQt/PySide or NumPy. It is intended for use in mathematics/scientific/engineering applications. Although written entirely in Python, the library is extremely fast thanks to its heavy use of NumPy to perform number crunching and Qt GraphicsView framework for fast display. PyQtGraph is available under the MIT open source license. Interactive view boxes for basic 2D plotting. Line and scatter plots. Data can be scaled/panned with the mouse. Rapid drawing allows for real-time data display. Displays all data types (int, float, any bit depth, RGB, RGBA or luminance). Multidimensional images can be sliced at arbitrary angles using these functions (great for MRI data). Rapid update for video display and real-time interaction Image display with interactive level control and lookup tables. Mesh rendering with isosurface generator. Interactive viewports can be rotated/zoomed with the mouse. For easier programming, use the basic 3D scenegraph.

Clarity is an open-source, scalable, customizable design system that can be customized to fit any need. It's supported by the people who build it, the people who use it, and the community that made us who we are. Figma is our toolkit. Every component, pattern and guideline that we offer is rooted in real customer interactions. Clarity can be relied upon for over 30 components and 200 icons, so you can concentrate on solving product-specific problems. Clarity was founded by a small team of developers, designers and content creators. Clarity has grown from that strong start by supporting the three big three: Angular React, Vue and React. All of them are supported by our latest Core components. Clarity offers code examples and detailed API documentation to help you build your next app.

CVXOPT, a free software package that allows convex optimization using the Python programming language, is available for download. It can be used with Python's interactive interpreter, the command line to execute Python scripts or integrated into other software via Python extension module. Its primary purpose is to simplify the development of software for convex optimization by using Python's extensive standard library as well as the strengths of Python, a high-level programming languages. Efficient Python classes that can handle dense and sparse (real and complicated) matrices. Includes Python indexing, slicing, and overloaded operations for matrix mathmetic. Interfaces to the linear programming solution in GLPK, semidefinite programming solvers DSDP5 and linear, quadratic, and second-order cone programming solutions in MOSEK.

The Python Imaging Library provides image processing capabilities for your Python interpreter. This library supports many file formats, an efficient internal representation, as well as powerful image processing capabilities. The core image library allows for quick access to data stored only in basic pixel formats. It should be a solid foundation for an image processing tool. Tidelift subscribers can get Pillow for Enterprise. The Python Imaging Library is perfect for batch processing and image archival applications. The library can be used to create thumbnails, convert file formats, and print images. The current version can identify and read a wide range of formats. The most common interchange and presentation formats are the only ones that support writing. The library includes basic image processing functionality such as point operations, filtering using a set of convolution kernels and color space conversions.

Python-sql allows you to create SQL queries in a pythonic manner. Select with where condition, simple selects Select with multiple joins or with join. Select with group_by or select with the output name Select with order_by or sub-select. Select another schema and insert query using default values. Insert query with query and values. Update query with values. Update query with where condition. Update query with from list. Delete query with where condition and delete query using sub-query. Provides limit style and qmark style as well as numeric style.

Waiting is a small library that waits for things to happen. It simply waits for a function in various modes to return True. Flux can be used to simulate timelines. Waiting is compatible. When you have a function that you need to wait for, waiting is the most basic use. It is easy to wait forever. If your predicate returns value, it will be returned by wait(). You can also specify a timeout parameter. An exception is made if the timeout expires and the predicate has not been fulfilled. The predicate is polled at a specified interval (default 1 second). You can change the interval with the sleep_seconds argument. Waiting provides two simple options to aggregate multiple predicates. They are similar to Python's built in any() and all() but don't call predicates once they have been satisfied. This is useful for predicates that are slow or inefficient.

Dedupe.io, a powerful tool, can help you find similar rows in your data. Machine learning and cutting-edge research allow us to quickly and accurately identify matches within your Excel spreadsheet or database. This will save you time and money. There is more data than ever in today's big data world. All this data can be difficult to use, especially if it was entered manually or comes from different systems. It can be difficult and time-consuming to figure out who is who in a spreadsheet. Dedupe.io is here to help. We created the most dynamic and scalable solution to de-duplicating or linking datasets and created a step-by-step wizard that anyone can use.

Implementation of the WebSocket Protocol. RFC 6455 & RFC 7692. websockets is an open-source library that allows you to build WebSocket clients and servers in Python. It focuses on correctness and simplicity, robustness and performance. It is built on top of Python's standard asynchronous I/O framework asyncio and provides an elegant coroutine-based API. websockets has been rigorously tested to ensure compliance with RFC 6455. Continuous integration fails below 100% branch coverage. websockets was designed for production. It was the first library to correctly handle backpressure before the issue became well-known in the Python community. Memory usage is optimized and configurable. C extensions accelerate expensive operations. It is pre-compiled for Linux and macOS and packaged in the wheel format according to each Python version. websockets handles everything so you can concentrate on your application.

Xlrd is a library that allows developers to extract data from Microsoft Excel™,.xls spreadsheet files. Xlrd is a library that reads and formats data from Excel files in the historical format.xls. This library cannot read files other than.xls. Charts, macros and pictures are ignored. However, formula calculations are extracted and comments, hyperlinks, advanced filters, pivot table, conditional formatting and data validation are all possible. This library cannot read password-protected files. This command will display the first, second, or last rows of each sheet within each file. xlrd is licensed by the BSD license.

Victory is a collection of modular charting elements for React Native and React. Victory is easy to use and offers flexibility. You can create unique data visualizations that are completely customizable with fully customizable styles. Victory uses the same API to create cross-platform charts. Reusable data visualization elements that are fully contained and reusable can be responsible for their own styles, behaviors, and colors. React.js-based library to create sleek presentations using JSX syntax. You can even live demo your code! Universal React Query library is a lightning-fast GraphQL client that's exposed as a collection of ReactJS components. React's physics-based animation library, inspired by nature.

Ruffus is a Python computation pipeline library. It is open-sourced and powerful, user-friendly, and widely used for science and bioinformatics. Ruffus was designed to automate scientific and other analyses with minimal fuss and effort. It is suitable for even the most basic tasks. Even complex pipelines can be handled. This will prevent make or scons from becoming cross-eyed and recursive. No "clever magic", no pre-processing. The lightweight syntax, which does one small thing well, is unambitious. Ruffus is licensed under the permissive MIT-free software license. This license allows for free use and inclusion in proprietary software. It is a good idea to run your pipeline in a temporary directory that is not connected to your original data. Ruffus is a lightweight Python module that can be used to build computational pipelines. Ruffus requires Python 2.6 and higher, or Python 3.0 and higher.