Alternatives to Bokeh

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.

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.

Altair Engineering, Inc. is not affiliated with the Vega-Altair open-source projects. Altair's API is easy to use, consistent, and friendly. It is built on top VegaLite's powerful visualization grammar. This simple design produces beautiful and efficient visualizations with minimal code. The idea behind linking data columns to visual encoding channels is the key. All other details of the plot are handled automatically. This declarative plotting idea allows for a surprising variety of plots and visualizations. It is possible to create them using relatively simple grammar.

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

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.

ggplot2 allows you to create declarative graphics using The Grammar of Graphics. You provide the data and tell ggplot2 what graphical primitives you want to use. ggplot2 has been around for over 10 years and is used by thousands to create millions of plots. This means that ggplot2 itself is relatively stable. If we do make any changes, it will be to add functions or arguments to existing functions rather than to change the behavior of existing ones. If we do make changes to existing behavior, we will do so for compelling reasons. It is better to start with a systematic introduction to ggplot2 than to read individual documentation pages.

With a single keystroke, switch between editor and command modes. Use the arrow keys to navigate between cells. All the Jupyter shortcuts are available. Fully interactive outputs are available right under the cell. Editing code cells is easy with smart code completion, quick error checking and quick fixes, and easy navigation. You can connect to remote JupyterHub or JupyterLab servers from the IDE. Interactively run Python scripts and arbitrary expressions in a Python Console. You can see the outputs and the state variables in real time. Split Python scripts into code cells using the #%% separator, and run them individually in a Jupyter notebook. Interactive controls allow you to browse DataFrames or visualizations in real time. All popular Python scientific libraries, including Plotly and Altair, ipywidgets and others, are supported.

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.

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.

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.

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.

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.

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.

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.

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.

JDeli can read and write images in HEIC format. It also provides a complete HEIC conversion between HEIC file formats and many other image file formats. JDeli can convert the image in one step. You can also read and write the HEIC file separately if you need to process the image using Java. Threading can improve the performance of your code reading and writing. JDeli can be used with threads, unlike ImageIO. JDeli has a similar API to ImageIO. It is also easy to switch between the two in your code. JDeli is actively being developed by IDRsolutions' development team, who use it in their other products. Unable to add a platform dependence? JDeli is 100% Java, and does not require plugins or native dependencies.

Bunifu Framework UI Tools provides all the tools you need for creating modern desktop apps in a shorter time. Bunifu Framework UI Tools gives you all the tools that you need to increase your creativity, be more productive, and save money in Visual Studio.NET For C# and VB.NET. Bunifu Framework gives you the tools to create any design you can imagine. This is possible by using the custom properties that are included with each feature. Bunifu pages is a fast way to create multiple views within a form. Bunifu Image Buttons allow you to quickly add animation to your images. Bunifu Shapes allows you to create different types of geometrical shapes. Show rich context information using Bunifu Tooltip and events support.

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.

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.

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.

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.

Scikit-learn offers simple and efficient tools to analyze predictive data. Scikit-learn, an open source machine learning toolkit for Python, is designed to provide efficient and simple tools for data modeling and analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, built on popular scientific libraries such as NumPy SciPy and Matplotlib. It offers a range of supervised learning algorithms and unsupervised learning methods, making it a valuable toolkit for researchers, data scientists and machine learning engineers. The library is organized in a consistent, flexible framework where different components can be combined to meet specific needs. This modularity allows users to easily build complex pipelines, automate tedious tasks, and integrate Scikit-learn in larger machine-learning workflows. The library's focus on interoperability also ensures that it integrates seamlessly with other Python libraries to facilitate smooth data processing.

BeakerX is a collection kernels and extensions for the Jupyter interactive computing system. It supports Spark cluster support, JVM support and polyglot programming. Interactive plots, tables, forms, publishing, as well as JVM support are all available. All JVM languages of BeakerX, including JavaScript, have APIs that allow interactive time-series and scatter plots, histograms and heatmaps. Both notebooks that have been saved to disk and notebooks that are published to the internet retain the widgets' interactive nature. They have unique features that allow you to handle many points, zooming in and out, as well as zooming in at nanosecond resolution. The table widget by BeakerX automatically recognizes pandas data frames. It allows you to search and sort, drag, filter and format, select, format, select and graph, hide, pin and export to CSV and clipboard. This makes it easy to connect to spreadsheets. Spark magic is available in BeakerX. It includes GUIs that allow you to configure, monitor, progress, and interrupt Spark jobs. You can either use the GUI, or create your SparkSession using code.

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.

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.

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.

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 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.

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.

SVAR is a collection of widgets and user interface components for building React web apps. These pre-built components allow developers to save time and resources while creating interactive and visually appealing interfaces. SVAR UI component are lightweight, responsive, and highly customizable. They are optimized to handle large datasets with exceptional performances. SVAR provides a range of solutions, from feature-rich datagrids and interactive Gantt Charts to a user friendly file manager and a collection of essential UI controls.

Dask is free and open-source. It was developed in collaboration with other community projects such as NumPy and pandas. Dask uses existing Python data structures and APIs to make it easy for users to switch between NumPy/pandas and scikit-learn-powered versions. Dask's schedulers can scale to thousands of node clusters, and its algorithms have been tested at some of the most powerful supercomputers around the world. You don't necessarily need a large cluster to get started. Dask ships schedulers that can be used on personal computers. Many people use Dask to scale computations on their laptops, using multiple cores and their disk for extra storage. Dask exposes lower level APIs that allow you to build custom systems for your own applications. This allows open-source leaders to parallelize their own packages, and business leaders to scale custom business logic.

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.

Appsmith is an open-source low code platform to build custom applications and internal tools. Appsmith has an intuitive drag and drop interface, along with the flexibility to connect databases and APIs. Add to this, the ease of sharing and collaborating with teammates. Build dashboards, admin panels, CRUD apps, forms, etc, and make them more dynamic and robust by writing custom logic with JavaScript.

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.

You have the option to download 100% of the Delphi source code. The editor dialogs are easy to use and can be used at design and run-time for almost all components and sub-components. Steema products and services are designed to meet your highest expectations, ensuring you get the best value for money. TeeChart components have been our core business since 1995. We are committed to bringing you the best in future features. TeeChart can be used with FMXLinux (sourcecode version only) to port/build your charting apps to/for Linux with Embarcadero Delphi Tokyo 10.2 Tokyo or higher. TeeChart can scale to fit any screen size. You can place multiple, resizable charts on dashboard panels if you are building them. FireMonkey framework can handle most variations for different platforms. Check out these examples to see how TeeChart can be used for FireMonkey apps.

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.

FormVu provides HTML/JavaScript/CSS content for Chrome, Edge, Firefox, and Safari on Linux/MacOS/Windows and also mobile/tablet devices running Android or iOS. The PDF forms will appear in the Browser as they appeared in Acrobat with the correct layout, formatting, and styles. Embedded fonts are converted. FormVu supports both AcroForms and XFA Forms. All forms are converted into HTML5/CSS and JavaScript preserving style and layout. JavaScript is converted to run inside the browser, preserving validation and calculations in the forms. XFA FormCalc is also supported. FormVu provides an easy-to-use converter. It does not require a dedicated server or infrastructure and generates clean, standalone HTML content. FormVu is designed to integrate easily into the existing PDF workflow. Data can be edited, updated, and resaved back into the original PDF document or sent back to the server.

Xafari, a business application framework for.NET programmers, is available. It is a collection of components, modules, utilities, and tools that complement XAF, DevExpress framework and enhance its capabilities. Xafari offers additional modules for DevExpress XAF UI Workplaces, Doc Panels and Wizards and business logic (XafariModuleBase and AppModule), Application settings, and others. This framework allows you to create complex business applications with a two- or three-tier architecture. The one-year subscription gives you the best tools and components for developing business applications. Try it free of cost! Get our 30-day free trial to get started with your app creation. More than 100 additional modules. More than 50 new functions and solutions. More than 40 new editors. More than 10 examples and online platforms for BI to explore new opportunities. A collection of ERP components. Support for WinForms and WebForms. Prompt and qualified technical support.

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.

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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.

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.

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.

Material is a flexible system of components, guidelines, and tools that supports the best practices in user interface design. Material is backed by open-source code and streamlines collaboration between developers and designers, allowing teams to quickly create beautiful products. Material Design is inspired and inspired by the natural world and its textures, such as how they reflect light or cast shadows. Material surfaces are a way to reimagine ink and paper. Material Design uses print design methods such as typography, grids and scale to create hierarchy, meaning and immersion that immerse the viewer in the experience. Motion is subtle feedback and consistent transitions that focus attention and keep it going. As elements appear on screen they transform and reorganize their environment through interactions that generate new transformations.

A reactive notebook for Python - run reproducible experiments, execute them as scripts, deploy them as apps, and version the code with git. Batteries-included : replaces jupyter (streamlit), ipywidgets (ipytext), papermill and more Reactive: Run a cell and marimo will run all dependent cells, or mark them as stale. Interactive: bind sliders and tables to Python -- no callsbacks required reproducible: no hidden state, deterministic execution, built-in package management Executable: Run as a Python script with CLI arguments. Shareable: Deploy as an interactive web application or slideshow, run in the browser using WASM Designed for data: query dataframes with SQL, search and filter dataframes Notebooks are stored in.py format. A modern editor: GitHub Copilot and AI assistants. Vim keybindings. Variable explorer.

You can write the backend and the frontend of a feature together in one component. The framework will decide where the code should run. Nullstack gives you all the tools you need in order to keep your eyes on the product. You'll receive SEO-ready HTML optimized to the first paint of your route within one request. This is done using local functions that have zero JavaScript dependencies. Once the content has been served and Nullstack JavaScript has been loaded, the state is restored by hydration. The application becomes a single-page one page application. The server functions will retrieve JSON from an automatically generated microservices API, serialize the response, update application state, and render the page out of box. A feature-driven mindset and a full stack lifecycle allow you to write clean, reusable code without having to manually create APIs.

Focos brings DSLR-like photography right to your iPhone. It has big aperture and real, natural bokeh effects. This is what most photographers have always longed for. Portrait photo with depth data allows for you to focus after shooting like hacker tech. Various diaphragms generate different bokeh spot effects. Pro lenses can be simulated by professional options, such as creamy, swirl, bilinear and so forth. Creamy is a characteristic of a good lens and makes the edges of the bokeh spot soften. Bilinear is a weakness of some lenses, but can be a great way to stoke spot. Swirly lens highlights center object, surrounded by swirly background. You can view the portrait in 3D space and add lights to adjust brightness, color, and so forth. It is more flexible and powerful than the portrait lighting that Apple offers.

Bokeh is a portfolio platform for professional photographers. It grows with your work. Instantly transform your photo collection into a stunning website. Upload high-resolution images and set up galleries to create a professional portfolio that will grow with you. You don't have to create pages or modify templates. You can create a stunning portfolio using your photos. Bokeh takes care of the heavy lifting. Your online photo library can be curated with metadata, smart albums, and other features to help you build your portfolio. Upload photos manually or publish client work. You can also update your portfolio from Adobe Lightroom. Upload videos up to 4K and show them in your portfolio or client galleries. Bokeh optimizes your photos so they are fast and pixel perfect for every device. Bokeh uses AI without extra effort to rank highly on Google and other social networks.

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.

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.