zope.interface Alternatives

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.

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.

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.

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).

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.

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

Oracle Data Access Components (ODAC) are a set of Windows and .NET data access drivers and tools. They include support for .NET data access, Microsoft Visual Studio tools for developing Oracle database applications; and ASP.NET providers. ODAC provides comprehensive client support for advanced Oracle database functionality, including performance, high availability, and security, among other features. It is tightly integrated with Visual Studio to provide a seamless development experience for developers. Oracle Data Provider for .NET is an implementation of Microsoft's ADO.NET interface and provides access to Oracle databases. OLAP Data Manipulation Language (OLAP DML) is used to define and manipulate analytic workspace objects. High performance, a feature-rich mechanism for Microsoft ADO and OLE DB data access to Oracle databases, its usage, and its configuration. Provides introductory, installation, post-installation configuration, and usage information.

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 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.

All URL parts, scheme, user, password, host, port, path, query, and fragment are accessible by properties. All URL manipulations produce a new URL object. Strings passed to constructor and modification methods are automatically encoded giving canonical representation as result. Regular properties are percent-decoded, use raw_ versions for getting encoded strings. Human-readable representation of URL is available as .human_repr(). PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install yarl on another operating system (like Alpine Linux, which is not manylinux-compliant because of the missing glibc and therefore, cannot be used with our wheels) the tarball will be used to compile the library from the source code. It requires a C compiler and Python headers installed. Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.

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!

urllib3 is a powerful, user-friendly HTTP client for Python. Much of the Python ecosystem already uses urllib3 and you should too. urllib3 brings many critical features that are missing from the Python standard libraries. Thread safety, connection pooling, client-side TLS/SSL verification. File uploads with multipart encoding. Helpers for retrying requests and dealing with HTTP redirects. Support for gzip, deflate, and brotli encoding. Proxy support for HTTP and SOCKS. 100% test coverage. urllib3 is one of the most downloaded packages on PyPI and is a dependency of many popular Python packages like Requests, Pip, and more! urllib3 is made available under the MIT License. The API Reference documentation provides API-level documentation. The User Guide is the place to go to learn how to use the library and accomplish common tasks. The more in-depth Advanced Usage guide is the place to go for lower-level tweaking.

zdaemon is a Unix (Unix, Linux, Mac OS X) Python program that wraps commands to make them behave as proper daemons. zdaemon provides a script, zdaemon, that can be used to run other programs as POSIX (Unix) daemons. (Of course, it is only usable on POSIX-complient systems.) Using zdaemon requires specifying a number of options, which can be given in a configuration file, or as command-line options. It also accepts commands teling it what to do. Start a process as a daemon. Stop a running daemon process. Stop and then restart a program. Find out if the program is running. Send a signal to the daemon process. Reopen the transcript log. Commands can be given on a command line, or can be given using an interactive interpreter. We can specify a program name and command-line options in the program command. Note, however, that the command-line parsing is pretty primitive.

gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate's text-to-speech API. Write spoken mp3 data to a file, a file-like object (bytestring) for further audio manipulation, or stdout. Or simply pre-generate Google Translate TTS request URLs to feed to an external program. Customizable speech-specific sentence tokenizer that allows for unlimited lengths of text to be read, all while keeping proper intonation, abbreviations, decimals and more. Customizable text pre-processors which can, for example, provide pronunciation corrections.

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

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.

The IP class allows a comfortable parsing and handling for most notations in use for IPv4 and IPv6 addresses and networks. It was greatly inspired by RIPE’s Perl module NET::IP’s interface but doesn’t share the implementation. It doesn’t share non-CIDR netmasks, so funky stuff like a netmask of 0xffffff0f can’t be done here. It can detect about a dozen different ways of expressing IP addresses and networks, parse them and distinguish between IPv4 and IPv6 addresses. Nearly all class methods which return a string have an optional parameter ‘wantprefixlen’ which controls if the prefixlen or netmask is printed. Per default the prefilen is always shown if the network contains more than one address. You can also change the defaults on an per-object basis by fiddling with the class members.

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.

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.

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.

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.

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).

The Polymer library provides a set of features for creating custom elements. These features are designed to make it easier and faster to make custom elements that work like standard DOM elements. Similar to standard DOM elements, Polymer elements can be instantiated using a constructor or document creation element, configured using attributes or properties, populated with internal DOM inside each instance, responsive to property and attribute changes, styled with internal defaults or externally, and responsive to methods that manipulate its internal state. Registering an element associates a class with a custom element name. The element provides callbacks to manage its lifecycle. Polymer also lets you declare properties, to integrate your element's property API with the Polymer data system. Shadow DOM provides a local, encapsulated DOM tree for your element. Polymer can automatically create and populate a shadow tree for your element from a DOM template.

TRichView is a suite of native Delphi/C++Builder VCL/FireMonkey and Lazarus (Free Pascal) LCL components for displaying, editing, and printing complex rich text documents. TRichView can be used to develop advanced text editors, web/help/book authoring applications, chats and messengers, organizers and diaries, multimedia encyclopedias, and other applications that need a high-quality rich text editor or a hypertext user interface. Supported FireMonkey platforms, Windows, 64-bit macOS. The components support various character attributes (fonts, subscripts/superscripts, colored text background, custom drawn). Documents can contain tables, pictures, images from image lists, footnotes and endnotes, and any Delphi controls. Left, right, center, or justify paragraph alignment, custom margins and indents, multilevel bullets and numbering, background images, print preview, data-aware versions, and more.

Parsel is a BSD-licensed Python library to extract and remove data from HTML and XML using XPath and CSS selectors, optionally combined with regular expressions. Create a selector object for the HTML or XML text that you want to parse. Then use CSS or XPath expressions to select elements. CSS is a language for applying styles to HTML documents. It defines selectors to associate those styles with specific HTML elements. XPath is a language for selecting nodes in XML documents, which can also be used with HTML. You can use either CSS or XPath. CSS is usually more readable, but some things can only be done with XPath. Being built atop lxml, parsel selectors support some EXSLT extensions and come with pre-registered namespaces to use in XPath expressions. Parsel selectors allow you to chain selectors, so most of the time you can just select by class using CSS and then switch to XPath when needed.

litex.regon, a frontend for Polish REGON database. Simple, pythonic wrapper for REGON database. To access its SOAP API, one needs a user key issued by REGON administrators. REGONAPI accepts one argument, the service URL (provided by REGON administrators). After login, one can start querying the database. Single REGON number (either 9 or 14 digits long), single 10 digit KRS number, single NIP (10 digits strings), collection of REGONs (all of them have to be either 14 or 9 digits long), collection of KRSs, collection of NIPs. Only one parameter is used in the query. If multiple ones are passed, first from the above list is taken into account. Additionally, a detailed parameter can be passed, detailed=True causes the search method to fetch the default detailed report. If one knows the REGON of a business entity and a detailed report name, a full report can be fetched directly.

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.

Luminoth is an open source toolkit for computer vision. Currently, we support object detection, but we are aiming for much more. : Luminoth is still alpha-quality release, which means the internal and external interfaces (such as command line) are very likely to change as the codebase matures. . If you want GPU support, you should install the GPU version of TensorFlow with pip install tensorflow-gpu, or else you can use the CPU version using pip install tensorflow. Luminoth can also install TensorFlow for you if you install it with pip install luminoth[tf] or pip install luminoth[tf-gpu], depending on the version of TensorFlow you wish to use.

Build responsive and accessible mobile-first projects for the web with an easy-to-use the component library. A function that recieves two theme objects and returns a theme object that includes both theme values. In case different styling are found for the same components on the two themes, the second argument theme will determine the styling. Tailor composite components with grommet. embrace atomic design methods and build a library that fits your needs. Keyboard navigation, screen reader tags, and more. grommet provides support for W3c’s WCAG 2.1 spec out of the box. Support all the devices! use Flexbox and CSS Grid to provide layouts for all those new phones and widescreen displays.

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.

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.

cryptography includes both high-level recipes and low-level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests, and key derivation functions. Encrypt with cryptography’s high-level symmetric encryption recipe. cryptography is broadly divided into two levels. One with safe cryptographic recipes that require little to no configuration choices. These are safe and easy to use and don’t require developers to make many decisions. The other level is low-level cryptographic primitives. These are often dangerous and can be used incorrectly. They require making decisions and having an in-depth knowledge of the cryptographic concepts at work. Because of the potential danger in working at this level, this is referred to as the “hazardous materials” or “hazmat” layer. These live in the cryptography.hazmat package, and their documentation will always contain an admonition at the top.

dbExpress is a database-independent layer that defines common interface to provide fast access to SQL database servers from Delphi and C++Builder including Community Edition, on Windows and macOS (32-bit and 64-bit) and Linux (64-bit) platforms. For each supported server, dbExpress provides a driver as an independent library that implements the common dbExpress interfaces for processing queries and stored procedures. As data-access layer is thin and simple, dbExpress provides high-performance database connectivity and is easy to deploy. You can use our drivers in the same way as the ones supplied by Embarcadero.

Selenium WebDriver drives a browser natively, as a real user would, either locally or on remote machines. WebDriver is simple, it is designed as a concise and compact programming interface. Through a simple setup, WebDriver can be used with all major browsers. Automate real user interactions in Firefox, Safari, Edge, Chrome, Internet Explorer and more! Selenium WebDriver refers to both the language bindings and the implementations of the individual browser controlling code. This is commonly referred to as just WebDriver. The W3C is an international community that works to develop Web standards. In June 2018, WebDriver became a W3C recommendation. Major browser vendors (Mozilla, Google, Apple, Microsoft) support WebDriver and work constantly to improve the browsers and browser controlling code, which leads to a more uniform behavior across the different browsers, making your automation scripts more stable.

ComponentOne includes FlexGrid, the industry's best datagrid, plus charting, reporting, input, and more controls across every .NET platform. .NET UI controls are reusable design elements that help developers implement a wide variety of features in their .NET applications in less time. ComponentOne provides a complete set of high-performing, flexible .NET controls, including datagrids, charts, reports, input, and more. Expand your Visual Studio toolbox with hundreds of .NET controls like datagrids and charts, equipped with modern styles and numerous easy-to-use, built-in features. Take your enterprise apps further with specialized controls for financial charting and BI/pivot tables built to achieve optimal performance. We pledge our commitment to at least three major releases a year that include enhancements, new components, and maintenance releases throughout the year.

Tool and library for handling Web ARChive (WARC) files. Naively join archives into one. Extract files from archive. List commands available. List contents of archive. Load archive and write it back out. Split archives into individual records. Verify digest and validate conformance. The library may not be entirely thread-safe yet. The goal of the Warcat project is to create a tool and library as easily and fast as manipulating any other archive such as tar and zip archives. Warcat is designed to handle large, gzip-ed files by partially extracting them as needed. Warcat is provided without warranty and cannot guarantee the safety of your files. Remember to make backups and test them! A WARC file contains one or more records concatenated together. Each record contains named fields, newline, a content block, newline, and newline. A Content Block may be two types, {binary data} or {Named Fields, newline, and binary data}.

ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.

Clarity is a scalable, customizable, open source design system bolstered by the people that build with it, the people we build it for, and the community that makes us who we are. Our toolkit is Figma. Every component, pattern, and guideline we ship is rooted in real customer interactions. As a result, you can rely on Clarity for 30+ components and over 200 icons so you can focus on product-specific user problems. The first folx that built Clarity from scratch were a scrappy team of developers, designers, and content creators. Clarity has continued to grow on that strong start by supporting the big three: Angular, React and Vue. Our latest Core components provide support for them all. Clarity provides code examples and detailed API documentation that guide you as you build your next application.

We put much effort into making ngx-bootstrap modular so you can implement your templates, styles, whatnot. All components are designed with extensibility and adaptivity in mind. You can expect them to work on Mobile and Desktop with the same level of performance. We have incorporated a set of style guides and guidelines to enhance both code maintainability and readability. Also, we always support the latest Angular versions and provide full unit-test coverage. Being developers ourselves, we understand the importance of documentation. Well-written and continually updated docs significantly ease up the life of developers and improve overall software quality. We are doing our best to provide you with the most complete and easy-to-understand documentation out there. While working with visually rich libraries, you need to know what you are getting without going through the installation hassle. That is why we have developed a great set of demos for most of the component’s methods.

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.

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.

It provides a familiar, non-XML syntax that compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django and Jinja2 templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. As templates are ultimately compiled into Python bytecode, Mako's approach is extremely efficient and was originally written to be just as fast as Cheetah. Today, Mako is very close in speed to Jinja2, which uses a similar approach and for which Mako was an inspiration. Can access variables from their enclosing scope as well as the template's request context

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.

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

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).

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.

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.

Unirest is a set of lightweight HTTP libraries available in multiple languages, built and maintained by Kong, who also maintains the open-source API Gateway Kong. To utilize Unirest for node.js install the npm module. You're probably wondering how using Unirest makes creating requests easier. Besides automatically supporting gzip, and parsing responses, you can start with basic examples. A request can be initiated by invoking the appropriate method on the Unirest object, then calling .end() to send the request. Alternatively, you can send the request directly by providing a callback along with the URL. Provides simple and easy-to-use methods for manipulating the request prior to being sent. This object is created when a Unirest method is invoked. This object contains methods that are chainable like other libraries such as jQuery and popular request module Superagent (which this library is modeled after slightly).

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.