Alternatives to Mako

DaisyUI is a Tailwind CSS library that improves development efficiency through semantic class names. It provides these names for UI components such as cards and toggles. This approach reduces the requirement to write extensive utility class, resulting in a cleaner and more maintainable HTML. DaisyUI is built upon Tailwind CSS and allows developers to customize components by using Tailwind's Utility Classes. It is a pure CSS plug-in that does not require JavaScript, which ensures compatibility with various JavaScript frameworks. It is easy to install and supports unlimited themes with customizable color names using CSS variables. This allows features like dark mode to be implemented without the need for additional class names. DaisyUI is built over Tailwind CSS, so you can customize all of it using utility classes. DaisyUI is an extension for Tailwind CSS. It works with all JS frameworks, and does not require a JS package file.

Properties allow you to access all URL parts, such as scheme, user password, host, path, query, path, port, and password. All URL manipulations result in a new URL object. Strings passed to constructor or modification methods are automatically encoded and give canonical representations as a result. Regular properties are percent-decoded. To get encoded strings, you can use raw_ versions. As.human_repr(), URLs can be represented in a human-readable format. PyPI has binary wheels for Linux and MacOS. You can use the tarball to compile yarl from the source code if you want to install it on another operating system (such as Alpine Linux, which isn't manylinux-compliant due to the missing glibc). It requires Python headers and a C compiler. The pure-Python version (uncompiled) is slower. PyPy uses a pure Python implementation and is therefore unaffected by this variable.

The NumPy vectorization and indexing concepts are fast and flexible. They are the current de-facto standard in array computing. NumPy provides comprehensive mathematical functions, random numbers generators, linear algebra routines and Fourier transforms. NumPy is compatible with a wide variety of hardware and computing platforms. It also works well with sparse array libraries, distributed, GPU, or GPU. NumPy's core is C code that has been optimized. Enjoy Python's flexibility with the speed and efficiency of compiled code. NumPy's high-level syntax makes it easy for programmers of all backgrounds and experience levels. NumPy brings the computational power and simplicity of languages such as C and Fortran into Python, making it a language that is much easier to learn and to use. This power is often accompanied by simplicity: NumPy solutions are often simple and elegant.

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.

The h5py package provides a Pythonic interface for the HDF5 binary data format. It allows you to store large amounts of numerical data and allow you to easily manipulate that data using NumPy. You can cut into multi-terabyte datasets on disk as if they were NumPy arrays. You can store thousands of datasets in one file. You can categorize and tag them however you like. H5py makes use of simple NumPy and Python metaphors like dictionary syntax and NumPy array syntax. You can, for example, iterate over files or examine the.shape and.dtype attributes of data. To get started, you don't need any knowledge about HDF5. In addition to an easy-to-use interface, h5py relies on an object-oriented Cython wrap of the HDF5 CAP API. You can do almost anything from C in HDF5 with h5py.

Imageio is an image library written in Python that allows you to easily read and write a variety of image data including animated images, volumetrics data, and scientific formats. It runs on Python 3.5+ and is cross-platform. Imageio is written entirely in Python, making it easy to install. Imageio is compatible with Python 3.5+. It works with Pypy. Imageio is dependent on Numpy, Pillow. For some formats, imageio needs additional libraries/executables (e.g. Imageio can help you download/install ffmpeg. You need to know where to look for the causes of problems if something doesn't work. This overview will help you understand how things work and where they might go wrong.

Seaborn is a Python data visualization tool that uses matplotlib. It provides a high-level interface to draw attractive and informative statistical graphs. The paper and introductory notes provide a brief overview of the library's ideas. To download the package and get started, visit the installation page. To see some of the seaborn-related tasks, you can look through the example gallery. Then, check out the tutorials and API reference. Visit the GitHub repository to view the code and report a bug. You can find general support questions on StackOverflow. There is also a channel for seaborn.

SaaS Hammer is an integrated Django SaaS Template designed to speed up product development. It integrates Django with Hotwire to increase productivity and allow developers to focus on their products. It provides a modern frontend workflow using Webpack and SWC, complete with live reload capability for immediate feedback. The template uses Tailwind CSS to create clean user interfaces. It also includes TypeScript support. SaaS Hammer comes with a component library that includes reusable UI components such as buttons and modals. It also has select widgets for date-time, rich text editors and chart types. Content management integrates Wagtail CMS allowing for rapid creation and updating pages without direct template modification. The template supports user identification with features such as signup, confirmation email, and more.

Accelerate your internal tools development. Low-code platform that allows developers to create internal tools in just minutes. SQL Generate allows you to input natural language and generate SQL statements. This works with databases such as MySQL, Postgre and Supabase. We give developers a great deal of freedom in implementing richer functionality with JavaScript. Wrapping JS statements using Template syntax allows them to place any string type variables at any space for more variety. ILLA is able to connect to any data via APIs or mainstream databases and add actions that are chained to user events. It integrates data from the backend with the frontend components. Developers can write simple data calls for massive information interaction.

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.

Jinja is a fast and expressive extensible templating engine. The template has special placeholders that allow you to write code similar to Python syntax. The template is then passed data to create the final document.

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.

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.

Pexpect makes Python an easier tool for controlling other programs. Pexpect can be used to create child applications, control them and respond to their output. Pexpect works like Don Libes' Expect. Your script can use Pexpect to create a child application. You can also control it like a human would. Pexpect is a tool that automates interactive applications like ssh and FTP, passwd and telnet. It can also be used to automate setup scripts that duplicate software package installations on different servers. It can also be used to automate software testing. Pexpect has a similar spirit to Don Libes' Expect but is pure Python. Pexpect is not like other Expect-like Python modules. It doesn't require Expect or TCL to be compiled. It should work on any platform that can support the standard Python pty modules. The Pexpect interface is easy to use.

This package can be used in any Python project independently. It is maintained by Zope Toolkit. This package implements Python's "object interfaces". Interfaces allow objects to be labeled as conforming to a contract or API. This package can be considered an implementation of Python's Design By Contract support. Interfaces are objects that document the external behavior of objects "provided" by them. An interface describes behavior through informal documentation, such as doc strings, attribute definitions and invariants. These are conditions that must be met for objects to provide the interface. Attribute definitions specify specific attributes. They provide documentation and constraints for attribute values. There are many ways to define attributes.

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

The Pylons web framework was designed to make it easy and quick to build web applications and websites. They can be as simple as one Python module or as complex as a directory layout for larger, more complex web applications. Pylons includes project templates to help you set up a new web app project. Or, you can create your own and customize it as you wish. This framework makes it easy to write Python web applications. It is simple to expand on the minimalist, component-based philosophy. Use existing Python knowledge. Extensible application design. High performance, fast and efficient with a very small per-request stack. Uses well-tested Python packages. The Pylons 1.0 series is stable, production-ready, but in maintenance-only mode. The Pylons Project maintains the Pyramid web framework to support future development. Pylons 1.0 users are strongly encouraged to use Pyramid for their next project.

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.

gTTS (Google Text-to-Speech) is a Python library and CLI to interface with Google Translate’s text-to-speech API. For further audio manipulation or to write spoken mp3 data to files, you can use bytestring (file-like object) or stdout. You can also pre-generate Google Translate request URLs to feed an external program. A speech-specific sentence tokenizer that can be customized to allow for unlimited text lengths, while maintaining proper intonation, abbreviations and decimals. You can also make pronunciation corrections with custom-designed text pre-processors.

Bottle is a lightweight, fast and simple WSGI micro-web framework for Python. It is distributed in a single module file and does not have any dependencies except for the Python Standard Library. Support for clean and dynamic URLs. Requests to function call mapping. Built-in template engine that is fast and pythonic, and supports mako2, jinja2 or cheetah. Access to form data, file uploads cookies, headers, and other HTTP metadata. Built-in HTTP Development Server and support for paste bjoern gae cherrypy or other WSGI capable HTTP servers.

Requests is an elegant and simple HTTP library. Requests makes it easy to send HTTP/1.1 queries. You don't need to manually add query strings or form-encode your PUT and POST data to your URLs. Instead, you can use the JSON method. Requests is the most downloaded Python package today, pulling in approximately 30M downloads per week, according to GitHub. Requests is currently dependent upon 1,000,000+ repositories. This code is certainly worth your trust. PyPI has Requests. Requests is available to meet the demands of building reliable and robust HTTP-speaking applications for today's needs. Automated content decompression and decoding. International URLs and domains. Sessions with cookie persistence. Browser-style TLS/SSL verification. Basic and digest authentication, as well as familiar dict-like cookies. Multi-part file uploads. SOCKS proxy support. Connection timeouts and streaming downloading.

WTForms allows you to easily validate and render forms for Python web development. It works with any web framework or template engine. It supports data validation, CSRF Protection, Internationalization (I18N), among other features. There are many community libraries that allow for closer integration with popular frameworks. WTForms strives to make APIs as easy as possible. WTForms can be used by a variety of libraries. However, if a library is not listed it doesn't necessarily mean it won't work. Any ORM or object-DB should be able to work as long as they allow access to members via data objects. WTForms uses unicode string throughout the source code. It assumes that input to forms has been forced to unicode by your framework. WTForms fields default to unicode strings. As long as your templating engine is capable of handling that, you should not have unicode issues.

zdaemon, a Unix (Unix Linux, Mac OS X, Mac OS X), Python program, wraps commands to make them behave like proper daemons. zdaemon offers a script, zdaemon that can be used to execute other programs as POSIX(Unix) daemons. It is only compatible with POSIX systems. Using zdaemon means that you need to specify a number options. These options can be given as either a configuration file or as command-line options. It can also accept commands that tell it what to do. Start a process by creating a daemon. Stop a daemon process. Stop and then start a program. Check if the program is still running. Send a signal for the daemon process. The transcript log can be reopened. You can give commands on a command-line or by using an interactive interpreter. The program command can include a program name and options. However, the command-line parsing can be quite primitive.

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.

JavaScript UI library and framework to speed up web development. JS Framework for cross platform web Apps development 102 UI widgets, feature-rich CSS / HTML5 JavaScript control. Pre-made widgets, UI controls and templates can save you at least 3000+ hours of development time. Web UI development is 30% faster. We have accumulated the most innovative design ideas. Five conceptual designs were carefully considered by us. Our support specialists are experts in all aspects of our library and can help with any problem. You can also contact our developers via the official support forum. Webix JS framework allows you to create elegant, lightweight code that is based on object-oriented programming principles. Associate your project with jQuery JavaScript library and MVC frameworks AngularJS AngularJS Vue.js Backbone.js, React, Vue.js and Backbone.js. Third-party UI extensions.

Flutter is Google's UI Toolkit that allows you to create beautiful, natively compiled apps for mobile, web and desktop using a single codebase. Stateful Hot Reload makes your app come to life in a matter of seconds. You can quickly create native interfaces with a rich collection of widgets that you can fully customize. You can quickly ship features that are focused on native end-user experiences. The layering architecture allows for full customization which results in extremely fast rendering and expressive and flexible design. Flutter's widgets include all platform differences, such as scrolling and navigation. Your Flutter code is compiled using Dart's native compilers to native ARM machine codes. Flutter's hot reload allows you to quickly and easily experiment, create UIs, add features and fix bugs quicker. Flutter's hot reload speeds are sub-second and you won't lose state on simulators, emulators, or hardware.

Hope UI, as the name suggests is a revolutionary admin dashboard that was built with the developer in mind. Hope UI Laravel Admin Dashboard Template is available with a UI component set. It features a modular component structure that makes it easy to design and launch web apps in the fastest possible way. Hope UI Admin Template is capable of developing lightweight web applications and admin panels. It also includes a Live Customizer that reduces development time and coding hours. The Hope UI Bootstrap Admin Dashboard is the future of admin UI. It will power your present and future development. Hope UI is available for 8 technologies: Bootstrap and Vue JS and React JS.

There are over 80 Angular UI components that will help you implement your UI needs in style. You can choose from many themes, such as material, tailwind, primeone or bootstrap, and they are all designed on a design-agnostic architecture. You can easily create amazing applications with the 280+ ready to copy-paste UI blocks. The designer is the ultimate tool for creating your PrimeNG experience. It uses a SASS-based theme engine that has 500+ variables and a visual developer. Professionally designed, highly customizable templates for application development. PrimeTek's open source products are used by millions of developers all over the globe. This is the ultimate collection of UI components for you, with over 90+ Angular components. Get connected with other members of the open source community, collaborate, and be a part of the project roadmap. You can increase your productivity and achieve amazing results by working faster.

DHTMLX is a powerful and easy-to-use JavaScript UI library that provides a wide range of customizable and flexible components for building modern and responsive web applications. It offers 30+ full-featured UI widgets, including grids, charts, diagrams, schedulers, gantt charts, calendars, trees, forms, and more. These components are optimized for fast rendering, ensuring that your application runs smoothly in all browsers and devices. DHTMLX is compatible with popular web frameworks such as React, Angular, and Vue.js. This makes it an excellent choice for developers who are already working with these frameworks and want to add a powerful UI library to their projects. Moreover, DHTMLX supports different data sources and formats, making it easy to integrate with various back-end technologies. DHTMLX provides extensive configuration and customization abilities for its UI components, allowing developers to tailor their appearance and behavior to meet specific application requirements and extend its functionality with custom features if needed. DHTMLX also has comprehensive documentation that covers every aspect of the library, including detailed API references, tutorials, and code examples, as well as an active community.

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.

Beautiful Soup is a library that allows you to easily scrape information from web pages. It sits atop an HTML/XML parser and provides Pythonic idioms to iterate, search, and modify the parse tree. Beautiful Soup's support of Python 2 was terminated on December 31, 2020, one year after the sunset date. New Beautiful Soup development will now exclusively target Python 3. Beautiful Soup 4's final release to support Python 2 was 4.9.3. Beautiful Soup is licensed under MIT license. You can download the tarball and drop the bs4/ directory in almost any Python program (or into your library path), and then start using it immediately.

Flowbite, an open-source library for interactive UI components, is built on Tailwind CSS. It was designed to speed up web development through a comprehensive collection of pre-designed elements. It includes over 56 components, such as buttons, alerts and breadcrumbs. Interactive elements, like dropdowns and modals are also available. Developers can integrate Flowbite with Tailwind CSS projects using npm or CDN. It supports various frameworks including React, Vue.js Angular and Next.js. The library includes a Figma system that allows designers to prototype and design apps before development. Flowbite Pro is available for those who want advanced features. It includes additional components and templates. Flowbite Blocks provides over 450 website components and advanced UI elements built with Tailwind CSS.

Django-MySQL extends Django’s built-in MySQL support and MariaDB support. A cache backend that makes MySQL's upsert statements available and performs compression. Named locks allow for easy locking of e.g. External resources. Django's check framework has additional checks to ensure optimal Django/MySQL configurations. Django-MySQL includes a variety of extensions to QuerySet. These extensions can be installed in a variety of ways, e.g. QuerySetMixin can be added to an existing QuerySet subclass.

NetworkX is a Python package that allows you to create, manipulate, and study the structure, dynamics, as well as the functions, of complex networks. Generators for classic, random, and synthetic graphs. Python offers additional benefits such as fast prototyping and easy teaching. Network structure and analysis measures.

urllib3 is a powerful and user-friendly HTTP client that Python uses. You should use urllib3 as a client for your Python environment. Many critical features are missing from the Python standard library, and urllib3 provides them. Thread safety, connection pooling and client-side SSL/TLS verification. Multipart encryption is used for file uploads. Helpers for dealing with HTTP redirects and retrying requests. Support for deflate, gzip, and brotli encryption. Proxy support for HTTPS and SOCKS. 100% coverage of the test. urllib3 is one the most downloaded Python packages. It is a dependency on many popular Python packages such as Requests, Pip and more! urllib3 is available under the MIT License. API Reference documentation provides API-level documentation. The User Guide explains how to use the library to accomplish common tasks. For lower-level tweaking, the Advanced Usage Guide is a more detailed guide.

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.

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.

Tox aims automate and standardize Python testing. It is part of a larger vision to simplify the packaging, testing, and release of Python software. Tox is a generic virtualenv management tool and test command-line tool that you can use to verify that your package works with different Python versions. You can also run your tests in each environment. It also acts as a frontend for continuous integration servers, reducing boilerplate and merging CI. First, install tox using pip install tox. Next, add basic information about your project as well as the test environments that you would like your project to run into a tox.ini.py file. To generate a tox.ini automatically, run tox-quickstart. Answer a few questions. Test your project against Python2.7 or Python3.6.

Matplotlib is a Python library that allows you to create interactive, animated, or static visualizations. Matplotlib makes difficult things simple and easy. Many third-party packages extend and build upon Matplotlib functionality. These include several higher-level plotting interfaces such as seaborn, HoloViews and ggplot.

Openpyxl is an open-source Python library that can read/write Excel 2010 files xlsx/xlsm/xltx/xltm. It was created because there wasn't an existing library that could natively read/write Python in the Office Open XML format. Openpyxl was originally built on PHPExcel. All credit to the PHPExcel team. Openpyxl doesn't guard against quadratic blowup attacks or billion laughs XML attacks by default. Defusedxml can be installed to protect against these attacks. Install openpyxl with pip This should be done in a Python virtualenv with no system packages. Sometimes, you may want to work with a particular version's checkout. This could be true if bugs have been fixed, but no release has been made. To get started with openpyxl, you don't need to create a file in the filesystem. Simply import the Workbook class to get started. When a sheet is created, it automatically gives it a name. You can give a worksheet a name to make it a key in the workbook.

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.

python_docx is a Python library that allows you to create and update Microsoft Word (.docx), files. Word's fundamental structure is the paragraph. They are used for body text as well as headings and list items such bullets. Although you can specify width and height, it is not recommended. If you only specify one, python docx uses it for the correct scaled value of both. This ensures that your image doesn't look stretched and preserves the aspect ratio. You should learn what a Word paragraph format is. It allows you to apply multiple formatting options to a paragraph at a time. Python-docx can be used to create new documents and make changes to existing documents. It only allows you to make changes to existing documents. However, if you start with a blank document, it may feel like you are creating one from scratch.

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.

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.

Gevent is a Python networking library that uses coroutine. It uses greenlet to provide an API for high-level synchronous APIs on top of the event loops libev and libuv. Gevent is inspired by Eventlet, but has a more consistent API and simpler implementation. It also offers better performance. See why gevent is used by others and see the list of open-source projects that are based on gevent.

Simple templates make it easy to create and manage cloud resources. Google Cloud Deployment Manager allows users to specify all resources required for their application in a declarative format using Python or Jinja2 templates. To parameterize the configuration, you can use Jinja2 or Python templates. This allows reuse of common deployment paradigms like an auto-scaled instance group that is load balanced and auto-scaled. Consider your configuration code and use it to perform repeatable deployments. The process of creating resources can be repeated repeatedly by creating configuration files that define the resources. Many tools use an imperative approach. This requires the user to specify the steps required to create and configure resources. Declarative approaches allow the user to define the configuration and the system will take the necessary steps. Instead of deploying each resource individually, the user can concentrate on the resources that make up the application or service.

Scapy is an interactive packet manipulation program. It can forge and decode packets from a variety of protocols, send them over the wire, capture them and match requests and responses. It can handle most of the classic tasks such as scanning, tracerouting and probing, attacks, or network detection (it can replace Hping, 85% nmap, arpspoofsk, arping), tcpdumpshark, p0f and tshark). It can also handle a lot more specific tasks than most other tools, such as sending invalid frames, injecting 802.11 frames, combining technologynics (VLAN hopping+ARP caching poisoning, VOIP descoding on WEP encrypted channel), and so forth. Scapy works natively on Linux and Windows as well as OSX and most Unixes that have libpcap. The same code base runs natively on Python 2 and Python 3 Scapy development uses Git version control system. The GitHub repository hosts the Scapy reference repository.

Cython, an optimizing static compiler, is available for both the Python programming languages and the extended Cython programming languages (based on Pyrex). It makes it as easy to write Python extensions using C. Cython combines the power of Python with C, allowing you to write Python code that calls back to C or C++ natively at any time. Static type declarations can be used to convert readable Python code into plain C performance. Combine source code level debugging to identify bugs in Python, Cython and C code. Large data sets can be interacted with efficiently, e.g. Multi-dimensional NumPy arrays. You can quickly build your applications in the mature, well-used CPython ecosystem. The Cython language, which is a superset Python language, supports calling C functions as well as declaring C types on variables or class attributes.

Pandas is an open-source data analysis and manipulation tool that is fast, flexible, flexible, and easy to use. It was built on top the Python programming language. Tools for reading and writing data between memory data structures and various formats: CSV, text files, Microsoft Excel, SQL databases and the fast HDF5 format. Intelligent data alignment and integrated handling missing data: Use a powerful group engine to perform split-apply/combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. You can even create domain-specific offsets and join time sequences without losing data.

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.