Pylons Alternatives

The ROOT data analysis framework is used much in High Energy Physics (HEP) and has its own output format (.root). ROOT can be easily interfaced with software written in C++. For software tools in Python there exists pyROOT. Unfortunately, pyROOT does not work well with python3.4. broot is a small library that converts data in python numpy ndarrays to ROOT files containing trees with a branch for each array. The goal of this library is to provide a generic way of writing python numpy datastructures to ROOT files. The library should be portable and supports both python2, python3, ROOT v5 and ROOT v6 (requiring no modifications on the ROOT part, just the default installation). Installation of the library should only require a user to compile to library once or install it as a python package.

Kendo UI is the ultimate collection of JavaScript UI components with libraries for jQuery, Angular, React, and Vue. Quickly build eye-catching, high-performance, responsive web applications—regardless of your JavaScript framework choice. Easily add advanced JavaScript components into your existing or new designs. Kendo UI’s hundreds of components handle everything you need to satisfy your users’ requirements. Add advanced components such as data grids, charts, schedulers, and calendars with just a few lines of code. Each is crafted for performance and customizability. Switching frameworks and starting new projects won’t require a new license or a big learning curve. Everything is included and up-to-date, APIs are consistent and theming is easy. Our QA process coupled with world-class support teams and a large user community means that our components will always work the way they’re supposed to—guaranteed.

The cross-platform windowing and multimedia library for Python. pyglet is a powerful, yet easy-to-use Python library for developing games and other visually-rich applications on Windows, Mac OS X, and Linux. It supports windowing, user interface event handling, Joysticks, OpenGL graphics, loading images, and videos, and playing sounds and music. All of this with a friendly Pythonic API, that's simple to learn and doesn't get in your way. pyglet is provided under the BSD open-source license, allowing you to use it for both commercial and other open-source projects with very little restriction. No external dependencies or installation requirements. For most application and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. This makes it easy to package your project with freezers such as PyInstaller. pyglet provides real platform native windows, allowing you to take advantage of multiple windows and multi-monitor desktops.

Pylon aligns the interests of both users and creators involved in long-term value exchanges via simple user deposits and stable yield payouts over time. Pylon's products build on low-volatile yield-bearing protocols in order to unlock a new suite of options for payments and savings. Make lossless investments while accessing all the benefits of being an early investor. Customize your blockchain project fundraising while receiving consistent payouts via yield. Any service provider platforms that bridge users and creators will be able to easily integrate Pylon's software, widget, and SDK to accept payments via yield. Pylon has forthcoming applications in service payments, philanthropy, patronage, investments, rentals, and savings.

Program autotuning has been demonstrated in many domains to achieve better or more portable performance. However, autotuners themselves are often not very portable between projects because using a domain-informed search space representation is critical to achieving good results and because no single search technique performs best for all problems. OpenTuner is a new framework for building domain-specific multi-objective program autotuners. OpenTuner supports fully customizable configuration representations, an extensible technique representation to allow for domain-specific techniques, and an easy-to-use interface for communicating with the tuned program. A key capability inside OpenTuner is the use of ensembles of disparate search techniques simultaneously, techniques that perform well will receive larger testing budgets, and techniques which perform poorly will be disabled.

An implementation of the WebSocket Protocol (RFC 6455 & 7692). websockets is a library for building WebSocket servers and clients in Python with a focus on correctness, simplicity, robustness, and performance. Built on top of asyncio, Python’s standard asynchronous I/O framework, it provides an elegant coroutine-based API. websockets is heavily tested for compliance with RFC 6455. Continuous integration fails under 100% branch coverage. websockets is built for production. For example, it was the only library to handle backpressure correctly before the issue became widely known in the Python community. Memory usage is optimized and configurable. A C extension accelerates expensive operations. It’s pre-compiled for Linux, macOS, and Windows and packaged in the wheel format for each system and Python version. websockets takes care of everything under the hood so you can focus on your application!

Beautiful Soup is a library that makes it easy to scrape information from web pages. It sits atop an HTML or XML parser, providing Pythonic idioms for iterating, searching, and modifying the parse tree. Beautiful Soup's support for Python 2 was discontinued on December 31, 2020: one year after the sunset date for Python 2 itself. From this point onward, new Beautiful Soup development will exclusively target Python 3. The final release of Beautiful Soup 4 to support Python 2 was 4.9.3. Beautiful Soup is licensed under the MIT license, so you can also download the tarball, drop the bs4/ directory into almost any Python application (or into your library path) and start using it immediately.

This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project. This package provides an implementation of “object interfaces” for Python. Interfaces are a mechanism for labeling objects as conforming to a given API or contract. So, this package can be considered as an implementation of the Design By Contract methodology support in Python. Interfaces are objects that specify (document) the external behavior of objects that “provide” them. An interface specifies behavior through informal documentation in a doc string, attribute definitions, and invariants, which are conditions that must hold for objects that provide the interface. Attribute definitions specify specific attributes. They define the attribute name and provide documentation and constraints of attribute values. Attribute definitions can take a number of forms.

Pexpect makes Python a better tool for controlling other applications. Pexpect is a pure Python module for spawning child applications; controlling them, and responding to expected patterns in their output. Pexpect works like Don Libes’ Expect. Pexpect allows your script to spawn a child application and control it as if a human were typing commands. Pexpect can be used for automating interactive applications such as ssh, FTP, passwd, telnet, etc. It can be used to automate setup scripts for duplicating software package installations on different servers. It can be used for automated software testing. Pexpect is in the spirit of Don Libes’ Expect, but Pexpect is pure Python. Unlike other Expect-like modules for Python, Pexpect does not require TCL or Expect nor does it require C extensions to be compiled. It should work on any platform that supports the standard Python pty module. The Pexpect interface was designed to be easy to use.

tox aims to automate and standardize testing in Python. It is part of a larger vision of easing the packaging, testing and release process of Python software. tox is a generic virtualenv management and test command-line tool you can use for checking that your package installs correctly with different Python versions and interpreters, running your tests in each of the environments, configuring your test tool of choice, and acting as a frontend to continuous integration servers, greatly reducing boilerplate and merging CI and shell-based testing. First, install tox with pip install tox. Then put basic information about your project and the test environments you want your project to run in into a tox.ini file residing right next to your setup.py file. You can also try generating a tox.ini file automatically, by running tox-quickstart and then answering a few simple questions. Install and test your project against Python2.7 and Python3.6.

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).

python-docx is a Python library for creating and updating Microsoft Word (.docx) files. Paragraphs are fundamental in Word. They’re used for body text, but also for headings and list items like bullets. You’re free to specify both width and height, but usually, you wouldn’t want to. If you specify only one, python-docx uses it to calculate the properly scaled value of the other. This way the aspect ratio is preserved and your picture doesn’t look stretched. If you don’t know what a Word paragraph style is you should definitely check it out. Basically, it allows you to apply a whole set of formatting options to a paragraph at once. python-docx allows you to create new documents as well as make changes to existing ones. Actually, it only lets you make changes to existing documents; it’s just that if you start with a document that doesn’t have any content, it might feel at first like you’re creating one from scratch.

The most popular front-end framework rebuilt for React. React-Bootstrap replaces Bootstrap JavaScript. Each component has been built from scratch as a true React component, without unneeded dependencies like jQuery. As one of the oldest React libraries, React-Bootstrap has evolved and grown alongside React, making it an excellent choice as your UI foundation. Built with compatibility in mind, we embrace our bootstrap core and strive to be compatible with the world's largest UI ecosystem. By relying entirely on the Bootstrap stylesheet, React-Bootstrap just works with the thousands of Bootstrap themes you already love. The React component model gives us more control over form and function of each component. Each component is implemented with accessibility in mind. The result is a set of accessible-by-default components, over what is possible from plain Bootstrap.

PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.

Quickly extend your .NET application with PDF file generating/processing ability, or seamlessly integrate the popular Chromium browser engine both for UI or background task with extensive customization options such as custom resource loader and JavaScript extension. Not suitable for newer ASP.NET framework such as MVC, but perfect for maintaining legacy WebForm code/modules in a larger MVC application. Add browser capacity in Windows.Forms and WPF app simply by drag and drop. Extensive customization options for UI, resource loader and JavaScript interface. Support .Net Framework 2.0 and above, .NET Core 3.0 and above.

JavaScript UI library and framework for speeding up web development. JS Framework for cross-platform web Apps development 102 UI widgets and feature-rich CSS / HTML5 JavaScript controls. Save at least 3000+ development hours by using ready-made widgets and UI controls. Develop Web UI 30% faster. We have accumulated the best design ideas. We have meticulously considered UX of each Webix component for five conceptual designs. Our support service specialists know everything about our library and can help you solve any problem. We also have an official support forum where you can discuss issues with our developers. By using Webix JS framework you receive an elegant and lightweight code based on object-oriented programming concepts. Associate your project with jQuery JavaScript library, MVC frameworks AngularJS, React, Vue.js, Backbone.js, third party UI extensions.

Over 80 Angular UI components with top-notch quality to help you implement all your UI requirements in style. Crafted on a design-agnostic infrastructure, choose from a vast amount of themes such as material, bootstrap, tailwind, primeone, or develop your own. 280+ ready-to-copy-paste UI blocks to build spectacular applications in no time. The designer is the ultimate tool to create your own PrimeNG experience powered by a SASS-based theme engine with 500+ variables and a visual designer. Professionally designed highly customizable application templates to get started in style. Open source products of PrimeTek are used all around the world by millions of developers. The ultimate set of UI components to assist you with 90+ impressive Angular components. Connect with the other open source community members, collaborate, and have a voice in the project roadmap. Boost your productivity by achieving more in less time and accomplish amazing results.

Microsoft is committed to making sure that WinJS continues to run for existing customers. At this time we don't have plans to invest in new features or feature requests. Bug fixes will be limited to correcting substantial issues that are blocking customer deployments. We may also consider bug fixes to help our customers maintain their existing WinJS-based apps. You can contribute by reviewing and sending feedback on code checkins, suggesting and trying out new features as they are implemented, submitting bugs and helping us verify fixes as they are checked in, as well as submitting code fixes or code contributions of your own. Note that all code submissions will be rigorously reviewed and tested by the team, and only those that meet an extremely high bar for both quality and design appropriateness will be merged into the source.

Sencha Ext JS is a comprehensive JavaScript application framework for building feature-rich, cross-browser-compatible web and mobile applications. It includes a library with 140+ high-performance customizable components, a set of tools and a powerful UI Framework. Key Features Rich UI Components – Includes a variety of pre-built UI elements such as grids and trees, menus and toolbars, forms and buttons, etc. Cross-platform compatibility - Supports major desktop and mobile web browsers including IE Firefox Chrome Safari and Opera. Data Packages – Includes data components to interact with various data sources including JSON, XML and database connections. Theming and Skinning - Allow easy skinning and theming of the UI with CSS. Development Tools - Includes an extensive set of development tools including a visual designer and debugger. Large Community - Has an active and large community of developers who provide support, extensions, etc.

Includes more than 1,600 components and frameworks for Windows Forms, WPF, ASP.NET (Web Forms, MVC, Core), UWP, WinUI, Xamarin, Flutter, JavaScript, Angular, Blazor, Vue and React. Includes top requested components such as charts, grids, schedulers, diagrams, maps, gauges, docking, ribbons, and many more! Working with the industry’s best and brightest minds to streamline your business. Includes more than 1,700 components and frameworks for major platforms. A wide range of product demos and training, including video tutorials, documentation, and KBs. Every control is fine-tuned to work with a high volume of data. Create powerful apps by viewing and editing Excel, PDF, Word, and PowerPoint files. Truly unlimited dedicated support system via the public forum, feature & feedback page, live chat, and support tickets. Easy integration of tools to blend Syncfusion controls with your project.

Built upon next generation frameworks like Angular and Salesforce's Lightning Design System, rest ​assured that you are building an application to stand the test of time. We focus on building stateless functional components that depend only on their input properties, guaranteeing better performance, more development flexibility and seamless integration with your application's requirements. We put a lot of effort to follow Lightning Design System's accessibility guidelines, to assure that your product is operable by people with a wide range of abilities and meets all legal requirements. Including SLDS CSS files and a small set of structural styles of CDK, is required for your application to work correctly. If you are using the Angular CLI, you need to add the following to the styles array of your angular.json file.

A utility-first CSS framework packed with classes like flex, pt-4, text-center and rotate-90 that can be composed to build any design, directly in your markup. Utility classes help you work within the constraints of a system instead of littering your stylesheets with arbitrary values. They make it easy to be consistent with color choices, spacing, typography, shadows, and everything else that makes up a well-engineered design system. Because Tailwind is so low-level, it never encourages you to design the same site twice. Even with the same color palette and sizing scale, it's easy to build the same component with a completely different look in the next project. Tailwind automatically removes all unused CSS when building for production, which means your final CSS bundle is the smallest it could possibly be. In fact, most Tailwind projects ship less than 10kB of CSS to the client.

Django-MySQL extends Django’s built-in MySQL and MariaDB support their specific features not available on other databases. A new cache backend that makes use of MySQL’s upsert statement and does compression. Named locks for easy locking of e.g. external resources. Extra checks added to Django’s check framework to ensure your Django and MySQL configurations are optimal. Django-MySQL comes with a number of extensions to QuerySet that can be installed in a number of ways - e.g. adding the QuerySetMixin to your existing QuerySet subclass.

Internationalized and accessible components for everyone. Well tested to ensure performance and reliability. Straightforward APIs with consistent cross platform behaviour. Provide tools that help developers build their own custom components with common interaction patterns. Customizable within the bounds of the Material Design specification. Built by the Angular team to integrate seamlessly with Angular. Start from scratch or drop into your existing applications. Start by creating the autocomplete panel and the options displayed inside it. Each option should be defined by a mat-option tag. Set each option's value property to whatever you'd like the value of the text input to be when that option is selected.

CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.

Bit is a scalable and collaborative way to build and reuse components. It's everything you need from local development to cross-project integrations. Try it for free. Bit is an open-source toolchain for component-driven development. Forget monolithic apps and distribute to composable software. Distribute component ownership across development teams. Components are easy to replace and refactor over time. Drive development standards and consistency across teams and products. Compose existing components into new ones instead of reinventing the wheel. Build a composable design system and UI. Create a consistent and reusable UI software. Distribute code and teams. Drive autonomy and standards. Scale to cross-team collaboration and bridge the gap between design, development and product. Create a scalable and composable backend that never repeats itself.

From v1.0.0, the library is rewritten in Typescript and ES6 completely. The giant and old jQuery plugin doesn't exist anymore. With the new plugin-based architecture, the library has really small core. Everything else is built around as a plugin. Each file in the dist/css and dist/js folders has two versions: the normal code in the .css, .js files, and the minified code in the .min.css, .min.js files. In order to reduce the page loading time and enhance the user experience when visiting your site, you should use the .min.css, .min.js files in the production website. Meanwhile, in the development mode, you should use the normal files without .min part to debug the code more easy.

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.

Ruffus is a computation pipeline library for python. It is open-sourced, powerful and user-friendly, and widely used in science and bioinformatics. Ruffus is designed to allow scientific and other analyses to be automated with the minimum of fuss and the least effort. Suitable for the simplest of tasks. Handles even fiendishly complicated pipelines which would cause make or scons to go cross-eyed and recursive. No "clever magic", no pre-processing. Unambitious, the lightweight syntax which tries to do this one small thing well. Ruffus is available under the permissive MIT free software license. This permits free use and inclusion even within proprietary software. It is good practice to run your pipeline in a temporary, “working” directory away from your original data. Ruffus is a lightweight python module for building computational pipelines. Ruffus requires Python 2.6 or higher or Python 3.0 or higher.

Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach. Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. Work in the languages you love: Python, R, and Julia. Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. Move faster by deploying and updating Dash apps without an IT or DevOps team. Create pixel-perfect dashboards & web apps, without writing any CSS. Scale effortlessly with Kubernetes. Support mission-critical Python applications with high availability.

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.

The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool. Pillow for enterprise is available via the Tidelift subscription. The Python Imaging Library is ideal for image archival and batch processing applications. You can use the library to create thumbnails, convert between file formats, print images, etc. The current version identifies and reads a large number of formats. Write support is intentionally restricted to the most commonly used interchange and presentation formats. The library contains basic image processing functionality, including point operations, filtering with a set of built-in convolution kernels, and color space conversions.

openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. It was born from a lack of an existing library to read/write natively from Python in the Office Open XML format. All kudos to the PHPExcel team as openpyxl was initially based on PHPExcel. By default, openpyxl does not guard against quadratic blowup or billion laughs XML attacks. To guard against these attacks install defusedxml. Install openpyxl using pip. It is advisable to do this in a Python virtualenv without system packages. Sometimes you might want to work with the checkout of a particular version. This may be the case if bugs have been fixed but a release has not yet been made. There is no need to create a file on the filesystem to get started with openpyxl. Just import the Workbook class and start work. Sheets are given a name automatically when they are created. Once you gave a worksheet a name, you can get it as a key of the workbook.

WTForms is a flexible forms validation and rendering library for Python web development. It can work with whatever web framework and template engine you choose. It supports data validation, CSRF protection, internationalization (I18N), and more. There are various community libraries that provide closer integration with popular frameworks. WTForms tries to provide as usable an API as possible. We’ve listed here some of the known libraries to work with WTForms, but if it’s not listed, it doesn’t mean it won’t work. Pretty much any ORM or object-DB should work, as long as data objects allow attribute access to their members. WTForms uses unicode strings throughout the source code and assumes that form input has already been coerced to unicode by your framework. WTForms fields render to unicode strings by default, and therefore as long as your templating engine can work with that, you should have no unicode issues.

Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.

waiting is a small library for waiting for stuff to happen. It basically waits for a function to return True, in various modes. Waiting is compatible with flux for simulated timelines. The most basic usage is when you have a function you want to wait for. Waiting forever is very simple. If your predicate returns a value, it will be returned as the result of wait(). A timeout parameter can also be specified. When a timeout expires without the predicate being fulfilled, an exception is thrown. Sleeping polls the predicate at a certain interval (by default 1 second). The interval can be changed with the sleep_seconds argument. When waiting for multiple predicates, waiting provides two simple facilities to help aggregate them, any and all. They resemble Python’s built-in any() and all(), except that they don’t call a predicate once it has been satisfied (this is useful when the predicates are inefficient and take time to complete).

gevent is a coroutine-based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop. gevent is inspired by eventlet but features a more consistent API, simpler implementation and better performance. Read why others use gevent and check out the list of the open source projects based on gevent.

As simple as Angular & Bootstrap CSS. Nothing else. If you know Angular, you also know ng-bootstrap. All the Bootstrap widgets you know like carousel, modal, popover, tooltip, navs plus some additional goodies like datepicker, rating and typeahead. All code is tested with almost 100% coverage, all changes are meticulously reviewed. We are not cutting corners. All the widgets are accessible. We use proper HTML elements and required aria attributes. Keyboard navigation and focus management work as expected. We've created angular-ui/bootstrap and have spent several years doing widget development. A number of team members are core Angular contributors. We give back to the community by contributing to projects we build upon (Angular, Bootstrap).

The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

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.

Requests is a simple, yet elegant, HTTP library. Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your PUT & POST data, but nowadays, just use the JSON method! Requests is one of the most downloaded Python packages today, pulling in around 30M downloads/week, according to GitHub, Requests is currently depended upon by 1,000,000+ repositories. You may certainly put your trust in this code. Requests is available on PyPI. Requests is ready for the demands of building robust and reliable HTTP–speaking applications, for the needs of today. Automatic content decompression and decoding. International domains and URLs. Sessions with cookie persistence. Browser-style TLS/SSL verification. Basic & digest authentication, and familiar dict–like cookies. Multi-part file uploads. SOCKS proxy support. Connection timeouts and streaming downloads.

As the name suggests, Hope UI is the revolutionary admin dashboard built with the developer's aspirations and needs in the first place. Hope UI Laravel Admin Dashboard Template and UI component set is designed with a modular component structure to help design and launch web applications in the fastest way possible. Being able to develop lightweight web applications and admin panels, Hope UI Admin Template comes with a Live Customizer to cut down on development time and coding hours. The Hope UI Bootstrap Admin Dashboard brings the future of admin UI to power your present and future development. Hope UI is available in 8 different technologies which are Bootstrap, Vue JS, React JS, Laravel, CodeIgniter, Figma, XD and Sketch UI Kit and more versions like Tailwind, Angular, React Native, etc are in the roadmap.

Laravel Boilerplate provides you with a massive head start on any size web application. Out of the box it has features like a backend built on CoreUI with Spatie/Permission authorization. It has a frontend scaffold built on Bootstrap 4. Other features such as Two Factor Authentication, User/Role management, searchable/sortable tables built on my Laravel Livewire tables plugin, user impersonation, timezone support, multi-lingual support with 20+ built in languages, demo mode, and much more.

Faster, simpler, and richer user interface development Oracle ADF Faces components is a set of over 150 Ajax-enabled JSF components that let you build a richer web user interface for Java EE applications. Oracle ADF Faces components are free to develop and deploy through Oracle ADF Essentials. Over 150+ AJAX-enabled components. Extensive data visualization components, with JSF 2 support. Complete JavaScript API. Drag and drop framework. Dialog and popup framework. Navigation menu framework. Internationalization and accessibility support. Tablet/touch gesture support. Declarative partial page rendering. Support for skinning. Support for page templates, reusable page regions, and declarative components. Support for the Oracle Alta UI. Integration with ADFc to support TaskFlows and bookmarking. Integration with ADFm to support data bindings. Oracle ADF security support.

Xafari is a business application framework for .NET developers. It is a set of components, modules, and utilities complementing XAF, DevExpress framework, and enhancing its capacity. Xafari provides further modules for DevExpress XAF UI (Workplaces, Doc Panels, Wizards and others) and business logic (XafariModuleBase, AppModule, Application settings and others). The framework is intended to create complex business applications in two- and three-tier architecture. Our one-year subscription provides you with the greatest tools and components for business application development. Test it for free! Download our 30-days free trial and start your app creation right now. More than 100 additional modules. More than 50 additional functions and solutions. More than 40 new editors. More than 10 examples and online BI platforms to explore new opportunities. A set of ERP components. WinForms, WebForms, and ASP.Net MVC platforms support. Qualified and prompt technical support.

DHTMLX is a JavaScript UI library that provides a set of highly customizable and flexible components for building modern and responsive web applications. The library includes more than 30 UI components, such as Gantt, Scheduler, Kanban, diagrams, charts, grids, spreadsheets, calendars, trees, forms, and more. DHTMLX helps to advance web development and build feature-rich data-intensive applications of any complexity. One of the key advantages of DHTMLX is its compatibility with different web frameworks, including React, Angular, and Vue.js, which makes it a great choice for developers who are already working with these frameworks. DHTMLX is also designed with performance in mind. Its components are optimized for fast rendering. A comprehensive and rich API provides a straightforward way to manipulate JavaScript/HTML5 UI widgets. The library has detailed API documentation, tutorials, and examples that help developers quickly get up to speed and start building their apps.

Over the last years, high performance computing has become an affordable resource to many more researchers in the scientific community than ever before. The conjunction of quality open source software and commodity hardware strongly influenced the now widespread popularity of Beowulf class clusters and cluster of workstations. Among many parallel computational models, message-passing has proven to be an effective one. This paradigm is specially suited for (but not limited to) distributed memory architectures and is used in today’s most demanding scientific and engineering application related to modeling, simulation, design, and signal processing. However, portable message-passing parallel programming used to be a nightmare in the past because of the many incompatible options developers were faced to. Fortunately, this situation definitely changed after the MPI Forum released its standard specification.

Bootstrap your application with beautiful Material Design components. React Toolbox is a set of React components that implements Google Material Design specification. It's built on top of some of the trendiest proposals like CSS Modules (written in SASS), Webpack, and ES6. The library harmoniously integrates with your Webpack workflow and it's easily customizable and very flexible. Check our awesome documentation (which is built using React Toolbox) and try all the components with live examples. We've created a playground so you don't need to install anything to fall in love with our components, so fun! The app bar is a special kind of toolbar that’s used for branding, navigation, search, and actions. Usually, it contains controls on the right and left side and a title with the current section or app name. You should give the content with children elements. Consists of text, an image, or both, designed in accordance with your app’s color theme.

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.