Open Source Windows Frameworks - Page 91
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Final Cut
A text-based widget toolkit
Library for creating terminal applications with text-based widgets. FINAL CUT is a C++ class library and widget toolkit with full mouse support for creating a text-based user interface. The library supports the programmer to develop an application for the text console. It allows the simultaneous handling of multiple text windows on the screen. The structure of the Qt framework was originally the inspiration for the C++ class design of FINAL CUT. It provides common controls like dialog boxes, push buttons, check boxes, radio buttons, input lines, list boxes, status bars and so on. FINAL CUT uses a virtual terminal to print character via an update method on the screen. It provides (as an overlying layer) virtual windows for the realization of window movements. The update methods only transfer differences to the virtual terminal or physical screen. -
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Financial Freedom
An open source alternative to Mint, YNAB, and more
Financial Freedom is an open source alternative to Mint, YNAB, and more. With open source at its core, you have the freedom to review exactly what's happening with your data and participate in the improvement of the product. Break free from third parties tracking every financial footstep you have. Run this application on any device or host that supports Docker -- if that's something like AWS, Digital Ocean, or even your own Raspberry Pi running in your basement. -
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Finatra
Fast, testable, Scala services built on TwitterServer and Finagle
Finatra builds on TwitterServer and uses Finagle, therefore it is highly recommended that you familiarize yourself with those frameworks before getting started. The version of Finatra documented here is version 2.x. Version 2.x is a complete rewrite over v1.x and as such many things are different. Finatra at its core is agnostic to the type of service or application being created. It can be used to build anything based on TwitterUtil: c.t.app.App. For servers, Finatra builds on top of the features of TwitterServer (and Finagle) by allowing you to easily define a Server and controllers (a Service-like abstraction) which define and handle endpoints of the Server. You can also compose Filters either per controller, per route in a controller, or across all controllers. Powerful Feature and Integration test support. Optional JSR-330 Dependency Injection using Google Guice. -
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Fire Detector
Detect web framework and javascript libraries run on browsing website
When you surf the internet with Fire Detector, You can also find more unknown frameworks and libraries. It is based on [LibrarySniffer](https://github.com/justjavac/ChromeSnifferPlus/). I've replaced some deprecated javascript interfaces with asynchronous ones adopted by Firefox for its add-ons --- ### Limitations - WebExtension only works on sites that allow content scripts. With this WebExtension, You can detect: -
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FireScope Grid is an open source jQuery component that adds datagrid behaviors to your HTML tables, regardless of the server-side technology being used.
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FireWeb
Java Single Page Web Application Framework
Java Single Page Application Framework. Using POJO/JavaScript/WebSocket/HTML. Without any scripting - only pure Java classes. Simply and easy to learn, use and extend. -
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Firebolt Network library (fnl) is a high level framework for network protocol implementations. You can implement your finite state machine oriented network protocol without messing with sockets. Define your states,events,transitions and you're ready.
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Firefly Framework
Firmware development framework for ATmega/AVR
Firefly Framework -- firmware development framework for ATmega/AVR. Supported microcontrollers: * 16/16A * 164PA/324PA/644PA/1284P * 640/1280/1281/2560/2561 * 48P/88P/168P/328P * 128/128L -
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Java support for a C# like class properties w/ first-class support. Simple example API and demo app included. See details here: http://acct001.com/wordpress/?p=215
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Fiskalizacija u hrvatskoj. JAVA implementacija slanja i potpisivanja xml za CIS sustav porezne uprave.
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Fit4Net is an automated requirements Validation and Verification testing toolkit. Fit4Net has been strongly influenced by FIT, and associated frameworks such as Fitnesse, as well as unit testing frameworks such as nUnit.
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FixSuite is a collection of tools and applications for the Financial Information eXchange (FIX) Protocol.
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FlashDoctors is an open source collection of ActionScript classes. The initial release includes a dependency injection implementation named Syringe, a command infrastructure named Reflex, and some utility and error classes.
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Flask Debug-toolbar
A toolbar overlay for debugging Flask applications
This extension adds a toolbar overlay to Flask applications containing useful information for debugging. The toolbar will automatically be injected into HTML responses when debug mode is on. In production, setting app.debug = False will disable the toolbar. This extension also supports the Flask app factory pattern by separately creating the toolbar and later initializing it for an app. -
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Flask JSONDash
Build complex dashboards without any front-end code
Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go. Easily configurable, chart dashboards from any arbitrary API endpoint. JSON config only. Ready to go. This project is a flask blueprint that allows you to create sleek dashboards without writing any front-end (or backend) code. Everything is powered through simple JSON configurations for declaring arbitrary charts. Leveraging popular libraries like C3.js and D3.js, and much more. Also supports templates and iframes. Only a basic intuitive configuration is required. The dashboard layout and blueprint styles are pre-packaged, and provide only the essentials, while getting out of the way. Drag-and-drop your layout easily and intuitively. Multiple layout modes - bootstrap grid-based or totally freeform. Data utilities for munging and manipulating data suitable for various charts. -
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Flask RESTX
Fully featured framework for fast, easy and documented API development
Fork of Flask-RESTPlus fully featured framework for fast, easy and documented API development with Flask. Flask-RESTX is an extension for Flask that adds support for quickly building REST APIs. Flask-RESTX encourages best practices with minimal setup. If you are familiar with Flask, Flask-RESTX should be easy to pick up. It provides a coherent collection of decorators and tools to describe your API and expose its documentation properly using Swagger. With Flask-RESTX, you only import the api instance to route and document your endpoints. -
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Flask-APScheduler
Adds APScheduler support to Flask
Flask-APScheduler is a Flask extension that adds support for the APScheduler. Loads scheduler configuration from Flask configuration. Loads job definitions from Flask configuration. Allows to specify the hostname which the scheduler will run on. Provides a REST API to manage the scheduled jobs. Provides authentication for the REST API. Integrates with Flask Blueprints. -
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Flask-AppBuilder
Rapid web application development (python + Flask)
Simple and rapid Application builder, built on top of Flask. includes detailed security, auto form generation, google charts and much more. Demo on: http://flaskappbuilder.pythonanywhere.com/ -
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Flask-Caching
A caching extension for Flask
Flask-Caching is an extension to Flask that adds caching support for various backends to any Flask application. By running on top of cachelib it supports all of werkzeug’s original caching backends through a uniformed API. It is also possible to develop your own caching backend by subclassing flask_caching.backends.base.BaseCache class. Flask’s pluggable view classes are also supported. To cache them, use the same cached() decorator on the dispatch_request method. Using the same @cached decorator you are able to cache the result of other non-view related functions. The only stipulation is that you replace the key_prefix, otherwise it will use the request.path cache_key. Keys control what should be fetched from the cache. If, for example, a key does not exist in the cache, a new key-value entry will be created in the cache. Otherwise, the value (i.e. the cached result) of the key will be returned. -
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Flask-GraphQL
Adds GraphQL support to your Flask application
Adds GraphQL support to your Flask application. This will add /graphql endpoint to your app and enable the GraphiQL IDE. If you are using the Schema type of Graphene library, be sure to use the graphql_schema attribute to pass as schema on the GraphQLView view. Otherwise, the GraphQLSchema from graphql-core is the way to go. The GraphQLSchema object that you want the view to execute when it gets a valid request. A value to pass as the context_value to graphql execute function. By default is set to dict with request object at key request. The root_value you want to provide to graphql execute. -
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Flask-JWT-Extended
An open source Flask extension that provides JWT support
Flask-JWT-Extended not only adds support for using JSON Web Tokens (JWT) to Flask for protecting routes, but also many helpful (and optional) features built in to make working with JSON Web Tokens easier. Adding custom claims to JSON Web Tokens. Automatic user loading (current_user). Custom claims validation on received tokens. Refresh tokens, first-class support for fresh tokens for making sensitive changes. Token revoking/blocklisting. Storing tokens in cookies and CSRF protection. Adding custom claims to JSON Web Tokens. Automatic user loading (current_user). Custom claims validation on received tokens. Refresh tokens. First-class support for fresh tokens for making sensitive changes. Token revoking/blocklisting. Storing tokens in cookies and CSRF protection. -
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Flask-Limiter
Rate Limiting extension for Flask
Flask-Limiter provides rate-limiting features to flask applications. It allows configuring various backends to persist the rate limits, which is provided by the limits library. Sponsored by Zuplo - fully-managed API Gateway with rate limiting, authentication, and more. Add rate limiting to your API in minutes, try it at zuplo.com Test it out. The fast endpoint respects the default rate limit while the slow endpoint uses the decorated one. ping has no rate limit associated with it. By adding the extension to your flask application, you can configure various rate limits at different levels (e.g. application wide, per Blueprint, routes, resource etc). To include extra dependencies for a specific storage backend you can add the specific backend name via the extras notation. -
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Flask-MongoEngine
MongoEngine flask extension with WTF model forms support
Flask-MongoEngine is a Flask extension that provides integration with MongoEngine, WtfForms and FlaskDebugToolbar. By default, Flask-MongoEngine will install integration only between Flask and MongoEngine. Integration with WTFForms and FlaskDebugToolbar are optional and should be selected as extra option, if required. This is done by users request, to limit amount of external dependencies in different production setup environments. All methods end extras described below are compatible between each other and can be used together. We still maintain special case for Flask = 1.1.4 support (the latest version in 1.x.x branch). To install flask-mongoengine with required dependencies use legacy extra option. Flask-mongoengine can be installed with Flask-WTF and WTFForms support. This will extend project dependencies with Flask-WTF, WTFForms and related packages.
