Alternatives to MPI for Python (mpi4py)

If you are developing software for Logistics Dispatch Solutions, which contain challenges: -For staff dispatching, such as sales reps, mobile service, or workforce? -For truck shipment allocation in daily transportation and logistics (scheduling, tour optimization, etc.)? -For waste management and District Planning? -Generally, highly constrained problem sets? And your product does not have an automized optimization engine? Then JOpt is the perfect fit for your product and can help you to save money, time, and workforce, letting you concentrate on your core business. JOpt.TourOptimizer is an adaptable component to solve VRP, CVRP, and VRPTW class problems for any route optimization in logistics or similar fields. It comes as a Java library or in Docker Container utilizing the Spring Framework and Swagger.

It uses a familiar, non XML syntax and compiles into Python modules to maximize performance. Mako's syntax borrows from many other sources, including Jinja2 templates, Cheetah and Myghty, as well as the best ideas of Genshi and Django. Conceptually Mako is embedded Python (i.e. Python Server Page) language. It refines the familiar ideas o componentized layout and inheritance to create one of the most flexible and straightforward models. While still keeping close ties to Python scoping and calling semantics, Mako is conceptually an embedded Python (i.e. Mako's method is very efficient, and was originally designed to be as fast as Cheetah. Today Mako is very similar in speed to Jinja2, who uses a similar approach, and for which Mako was an inspiration. You can access variables from the template's request context as well as their enclosing scope.

statsmodels is an Python module that provides classes, functions, and methods for the estimation of various statistical models. It also allows for statistical data exploration and statistical tests. Each estimator has a comprehensive list of available result statistics. To ensure accuracy, the results are compared to existing statistical packages. The package is available under the Modified BSD (3 clause) license. statsmodels allows you to specify models using R-style formulas or pandas DataFrames. To see the available results, take a look at dir (results). Results describe attributes. __doc__, results methods have their own documentation strings. Numpy arrays can be used in place of formulas. Installing statsmodels as part of the Anaconda distribution is the easiest way to do so. This cross-platform distribution allows for data analysis and scientific computing. This is the preferred method of installation for most users.

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

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.

Semantic UI React, the official React integration for Semantic UI, is Semantic UI React. jQuery-free declarative API, augmentation and sub-components. Auto-controlled state. jQuery is a DOM manipulator library. It can read from and write to the DOM. React uses a virtualDOM (a JavaScript representation) of the real DOM. React writes only patch updates to the DOM and never reads from it. React's virtual DOM makes it impossible to keep real DOM manipulations in sync. React has reimplemented all jQuery functionality. You can control the rendered HTML tag or render one component as another. Additional props are passed to your component. Augmentation is powerful. Composing component features and props is possible without the need to add nested components. Shorthand props can generate markup for your use, making it easy to create many different uses cases. All object props can be spread on the child parts.

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

The 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.

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.

Blazor allows you to create interactive web UIs with C# instead JavaScript. Blazor apps consist of reusable web UI components that are implemented using HTML, CSS, and C#. C# is used to write both client and server code, which allows you to share code as well as libraries. Blazor is a feature in ASP.NET, the popular web-development framework. It extends the.NET platform with tools and libraries to build web apps. Blazor allows you to run client-side C# code in your browser using WebAssembly. It's real.NET running in WebAssembly so you can reuse code and libraries from the server-side of your application. Blazor can also run your client logic on the web server. SignalR - a real time messaging framework - is used to send client UI events back to the server. After execution is complete, the required UI modifications are sent to clients and merged into DOM.

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.

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

Cryptography can include both high-level instructions and low-level interfaces for common cryptographic algorithms like symmetric ciphers and message digests. Use cryptography's high level symmetric encryption recipe to encrypt. Cryptography can be broadly divided into two levels. One that uses safe cryptographic recipes and requires very few configuration options. These are safe and simple to use, and don't require developers make many decisions. The second level is low-level cryptographic primitives. These can be dangerous and could be misused incorrectly. These require the ability to make decisions and have a deep understanding of cryptographic concepts. This layer is known as the "hazardous materials" (or "hazmat") because of the danger involved in working at this level. These materials live in the cryptography.hazmat packaging, and their documentation will always include an admonition at its top.

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.

These.NET spreadsheet components are completely independent and allow you to explore the possibilities of your.NET enterprise applications. .NET spreadsheet components allow professional developers to add Excel-like functionality into their desktop apps. The.NET spreadsheet control supports Excel import/export, full customization, and an extensive calculation engine with more than 450 functions. All of this is possible with zero dependencies on Excel. The powerful.NET spreadsheet API allows you to create financial, analytical, budgeting, dashboards, data collection and management, scientific and financial applications. Spread.NET's modular structure allows you to only add what you need to your.NET spreadsheet applications.

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.

Litex.regon is a frontend to the Polish REGON database. Simple, pythonic wrapper to REGON database. REGON administrators issue a user key to access the SOAP API. REGONAPI only accepts one argument: the service URL, which is provided by REGON administrators. Once you have logged in, you can query the database. One REGON number (9 or 14 digits in length), single 10 digit KRS Number, single NIP (10 characters strings), collection REGONs (all must be 14 or 9 digits in length), collection KRSs, and collection of NIPs. The query only uses one parameter. If more than one parameter is passed, the first one from the list above will be considered. You can also pass a detailed parameter. detailed=True will cause the search method to fetch a default detailed report. A full report can be obtained if one has the REGON and name of the business entity.

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.

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.

You can achieve streamlined development using the technologies that you already love, HTML, and CSS. Are you worried that Cordova and PhoneGap apps are slow? Don't be alarmed! OnsenUI animations have been optimized for a wide range devices. Onsen UI apps are smooth on all devices, even those with lower end processors. Onsen UI is simple to use and powerful enough to create complex mobile applications. There are many learning resources available, including documentation, tutorials and a community forum that answers your questions. There are many UI components specifically designed for mobile apps. Onsen UI offers tabs, side menus, stack navigation, and tons of other components like lists and forms.

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.

You can build feature-rich, professionally designed web, desktop and mobile apps with just 1,250+ JavaScript and.NET components. Complete.NET embedded reporting. Standardize the appearance of all your applications. You can quickly present a professional and well-designed frontend to your users with the help of pre-made themes and unlimited customization options. Simplify your everyday software development tasks. You can cut down on development time by up to half, increase productivity, or follow the latest technology trends and user experience trends. Demos, tutorials and code samples are available. You will receive top-notch support during your free trial, extensive documentation, as well as community forums. The best and most comprehensive software development tooling collection, including JavaScript UI components for web and mobile apps, reporting and management solutions, and automated testing.

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.

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.

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.

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.

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.

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.

GDAL is a translator for raster and geospatial formats. It is released under an MIT-style Open Source License by Open Source Geospatial Foundation. It is a library that provides a single raster and one vector abstract data model to the calling app for all supported formats. It also includes a number of useful command-line utilities that allow data processing and translation.

DevExpress UI components are designed to create elegant and high-impact user experiences that mimic the capabilities of the most popular business productivity apps. Our fully integrated suite of UI controls and reporting tools allows you to create high-performance analytics dashboards and decision support systems across all platforms and devices. DevExpress Reports are our royalty-free component library and reporting tool for the.NET ecosystem. DevExpress Reports include an intuitive Visual Studio report designer, runtime Report Designers for WinForms/WPF/Web and a rich set report controls, including cross tabs, charts and charts, so you and your users create reports of unparalleled elegance and informational clarity.

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

Luminoth is an open-source toolkit for computer vision. We currently support object detection, but are working towards more. Luminoth is still an alpha-quality release. This means that the interfaces between the internal and external (such as command line) will likely change as the codebase matures. . You can install TensorFlow's GPU version with pip tensorflow.gpu or the CPU version with pip tensorflow. Luminoth can also install TensorFlow if you use pip install luminoth[tf]-gpu, depending on which version of TensorFlow.

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

Excel-like spreadsheet experiences delivered quickly and without any dependencies on Excel. Create financial apps, dashboards and charts, pivot tables, performance benchmarks and science lab notebooks using JavaScript. JavaScript spreadsheet components allow developers to add Excel-like functionality into web applications. SpreadJS is a JavaScript spreadsheet control suite that includes data inputs, import/export, cell customization, and a comprehensive calculation engine with more than 500 functions. We have over 25 years experience creating award-winning spreadsheets that are easy to use for professional developers. This is something that no other spreadsheet vendor can match. Get our spreadsheet expertise to work for your business today.

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.

DataViewsJS allows you to customize the presentation of your data professionally using different layouts, rows templates, calculations and editing modes. You can use the powerful calc engine for calculations on any JSON data set. Our calculation engine optimizes your computing power for complex calculations and large data. DataViewsJS was built from the ground up to be a powerful, flexible, and fast developer tool that can display and edit data to suit any JavaScript application. DataViewsJS includes localized resources for Chinese and Japanese as well as Korean. You can easily add additional languages by creating resource files and setting them up with simple script code. DataViewsJS interchangeable layouts make it easy to present modern data patterns, such as those found on social networks and other sites.

Any app development project's time to market is crucial. Many developers, agencies, and enterprises slow down innovation by spending countless hours creating core functionality from scratch and increasing development timelines. If you can get the Features you need for your app out of the box, you can start development quickly. You can cut down on development time by up to 80% When you use Onymos' ready-made, full-stack capabilities, your app can be deployed in days instead of months. Onymos features take over 1000 hours to develop on average, and that number is only growing. Our features are updated as software and APIs are updated. Front-end logic, UI/UX and integrated cloud services such as Stripe, APNs and Amazon S3. You get everything when you use Onymos features. Onymos is used by companies like Walmart, CVS Pharmacy, Walmart, and Albertsons to build their apps.

React-Bootstrap is the most popular front-end framework. React-Bootstrap replaces Bootstrap JavaScript. Each component was built as a React component from scratch, with no unneeded dependencies such as jQuery. React-Bootstrap is one of the oldest React libraries. It has grown and changed with React, making it an excellent choice for your UI foundation. We built React-Bootstrap with compatibility in our mind. We embrace our bootstrap core, and strive to be compatible the largest UI ecosystem in the world. React-Bootstrap is based entirely on Bootstrap's stylesheet. This means that it works with all the Bootstrap themes you already love. React's component model allows us to have more control over the form and function each component. Each component is designed with accessibility in mind. The result is a set of accessible-by-default components, over what is possible from plain Bootstrap.

IMSL numerical libraries can improve performance and reduce development time. IMSL's tools allow you to achieve your strategic goals. Your IMSL library can be used to model regression, create decision trees, build neural networks, forecast time series, and make decisions. The IMSL C Numerical Library has been proven reliable and robust across all industries. It provides companies with a high-ROI solution to building cutting-edge analytics tools. The IMSL C Numerical Library is able to quickly add sophisticated functionality to your analytic applications, including data mining, forecasting, and advanced statistical analysis. Integration and deployment are easy with the IMSL C library. Easy migrations, support common platforms and combination of platforms, and no additional infrastructure to embed in applications or databases, all possible with the IMSL C library.

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Unirest is a collection of lightweight HTTP libraries that are available in multiple languages. It was created and maintained by Kong who also maintains the open source API Gateway Kong. Install the npm module to use Unirest for node.js. Unirest makes it easier to create requests. Unirest supports gzip and can parse responses. You can also start with basic examples. To initiate a request, invoke the appropriate method on Unirest object and then call.end() to send it. You can also send the request directly by sending a callback with the URL. This provides simple and straightforward methods to manipulate the request before it is sent. This object is created when Unirest is invoked. This object has methods that can be chained like other libraries, such as jQuery or the popular request module Superagent (which is slightly modeled after this library).

Graph Engine (GE), a distributed in-memory processing engine, is supported by a strongly-typed RAM storage and a general distributed computing engine. The distributed RAM store is a global addressable, high-performance key-value storage that can be accessed by a cluster of computers. GE's RAM store allows fast random data access over a large data set. GE is a natural platform for large graph processing due to its ability to speed data exploration and distribute parallel computing. GE supports both low latency online query processing as well as high-throughput offline analysis on billion-node large Graphs. Schema is important when data processing must be efficient. For data storage that is compact, quick and clear, strong data modeling is essential. GE has the ability to manage billions of runtime objects of different sizes. As the number of objects increases, each byte counts. GE offers fast memory reallocation and allocation with high memory ratios.

GASP is a structured/unstructured, multi-block CFD flow solver which solves the Reynolds Averaged Navier-Stokes (RANS) equations as well as the heat conduction equation for solid bodies. Organization based on hierarchical-tree. All processing from pre- to post-processing are done in one interface. Stable and unstable 3-D, Reynolds-Averaged Navier-Stokes Equations, (RANS), and subsets. Multi-block structured/unstructured grid topology. Support for tetrahdras, hexahedras, prisms, pyramids and more with unstructured mesh. Integration with the portable extensible toolkit to support scientific computation library. Uncoupling systems, including turbulence, and chemistry, for better computational efficiency. Support for all parallel computers, including clusters. The user is able to see the integrated domain decomposition.

Data-driven computational pipelines. Nextflow allows for reproducible and scalable scientific workflows by using software containers. It allows adaptation of scripts written in most common scripting languages. Fluent DSL makes it easy to implement and deploy complex reactive and parallel workflows on clusters and clouds. Nextflow was built on the belief that Linux is the lingua Franca of data science. Nextflow makes it easier to create a computational pipeline that can be used to combine many tasks. You can reuse existing scripts and tools. Additionally, you don't have to learn a new language to use Nextflow. Nextflow supports Docker, Singularity and other containers technology. This, together with integration of the GitHub Code-sharing Platform, allows you write self-contained pipes, manage versions, reproduce any configuration quickly, and allow you to integrate the GitHub code-sharing portal. Nextflow acts as an abstraction layer between the logic of your pipeline and its execution layer.

DeepSpeed is a deep learning optimization library that is open source for PyTorch. It is designed to reduce memory and computing power, and to train large distributed model with better parallelism using existing computer hardware. DeepSpeed is optimized to provide high throughput and low latency training. DeepSpeed can train DL-models with more than 100 billion parameters using the current generation GPU clusters. It can also train as many as 13 billion parameters on a single GPU. DeepSpeed, developed by Microsoft, aims to provide distributed training for large models. It's built using PyTorch which is a data parallelism specialist.

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

Bit is a collaborative and scalable way to create and reuse components. It provides everything you need, from local development to cross-project integrations. It's free to try. Bit is an open-source toolchain that allows for component-driven development. Distribute composable software instead of monolithic apps. Distribute component ownership across development teams. Components are simple to replace and refactor. Develop consistency and standards across products and teams. Instead of reinventing the wheel, combine existing components to create new ones. Create a reusable design system and UI. Develop a consistent and reusable UI system. Code and teams should be distributed. Encourage autonomy and standardization. Scale to cross-team collaboration. This will bridge the gap between product design, development, and design. A composable and scalable backend that doesn't repeat itself is possible.

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.

The Adaptive calculation engine for Java ACE4J is a reliable platform that converts Excel-based applications to web applications at a low price, efficiently, and with easy maintenance and support in future. ACE4J is a modern formula engine that can evaluate complex Excel formulas. It is a great tool for Java-based Web applications that need heavy calculations. The Adaptive Calculation Engine, (ACE4J), is a Java API that allows you to evaluate formulas written in Microsoft Excel. This engine provides the most commonly used Microsoft Excel functions that are often encountered in applications that require complex calculations. Based on customer feedback, the number of available functions and formulas increases with each Adaptive Calculation engine release. Adaptive Calculation Engine can evaluate thousands of formulas in just seconds.

Accessible and internationalized components for everyone. Performance and reliability are assured by well-tested components. Straightforward APIs that work across platforms. Developers can use these tools to create their own components with the same interaction patterns. You can customize within the limits of the Material Design specification. Built by the Angular team for seamless integration with Angular. You can either start from scratch or use your existing applications. Create the autocomplete panel. Next, add the options. Each option should be identified by a mat­option tag. Each option's value property should be set to whatever value you would like the text input to be when it is selected.