Open Source Frameworks - Page 22
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Cloud Commander
Cloud Commander file manager for the web with console and editor
Cloud Commander is a file manager for the web. It includes a command-line console and a text editor. Cloud Commander helps you manage your server and work with files, directories and programs in a web browser from any computer, mobile or tablet. Can be used local or remotely. Adapts to screen size. 3 built-in editors with support of syntax highlighting: Dword, Edward and Deepword. Console with support of the default OS command line. Written in JavaScript/Node.js. Built-in archives pack: zip and tar.gz. Built-in archives extract: zip, tar, gz, bz2, .tar.gz and .tar.bz2 (with help of inly). Cloud Commander could be used as middleware for node.js applications based on socket.io and express. The docker images are provided for multiple architectures and types. Config would be read from home directory, hosts root file system would be mount to /mnt/fs, 8000 port would be exposed to hosts port. -
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CloudWeGo-Kitex
Go RPC framework with high-performance and strong-extensibility
CloudWeGo is an open-source middleware set launched by ByteDance that can be used to quickly build enterprise-class cloud native architectures. The common characteristics of CloudWeGo projects are high performance, high scalability, high reliability and focus on microservices communication and governance. Fully open source, community neutral, compatible with the community open source ecology, pluggable components, CloudWeGo components and other open source components can be integrated or replaced with each other. Contains the components needed to build an enterprise-class cloud-native architecture, allowing users to focus more on business development, meet the current and future needs of user scenarios, and experience the refinement of large-scale scenarios. Quickly build a cloud-native microservice system and develop more reliable, scalable and easy-to-maintain cloud-native applications. -
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Coinbase Pro
The official Node.js library for Coinbase Pro
Note: The gdax package is deprecated and might have to be removed from NPM. Please migrate to the coinbase-pro package to ensure future compatibility. Easy functionality to use in programmatic trading. A customizable, websocket-synced Order Book implementation. API clients with convenient methods for every API endpoint. Abstracted interfaces, don't worry about HMAC signing or JSON formatting; the library does it for you. To use optional parameters with callbacks, supply the options as the first parameter(s) and the callback as the last parameter. -
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Colly
Elegant Scraper and Crawler Framework for Golang
Colly provides a clean interface to write any kind of crawler/scraper/spider. With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving. Clean API. Fast (>1k request/sec on a single core) Manages request delays and maximum concurrency per domain. Automatic cookie and session handling. Sync/async/parallel scraping. Distributed scraping. Caching, automatic encoding of non-unicode responses. Robots.txt support. Google App Engine support. -
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Common Expression Language
Fast, portable, non-Turing complete expression evaluation
The Common Expression Language (CEL) is a non-Turing complete language designed for simplicity, speed, safety, and portability. CEL's C-like syntax looks nearly identical to equivalent expressions in C++, Go, Java, and TypeScript. A CEL "program" is a single expression. The examples have been tagged as java, go, and typescript within the markdown to showcase the commonality of the syntax. CEL is ideal for lightweight expression evaluation when a fully sandboxed scripting language is too resource intensive. To get started, try the Codelab. Determine the variables and functions you want to provide to CEL. Parse and check an expression to make sure it's valid. Then evaluate the output AST against some input. Checking is optional but strongly encouraged. The parsing phase indicates whether the expression is syntactically valid and expands any macros present within the environment. Parsing and checking are more computationally expensive than evaluation. -
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ConsoleGUI
A GUI framework for C# console applications
ConsoleGUI is a simple layout-driven .NET framework for creating console-based GUI applications. It provides the most essential layout management utilities as well as a set of basic controls. This framework is platform-agnostic and dependency-free. The library targets .NET standard 2.0 and should run fine on both Windows and Linux machines. What sets this library apart from other projects that provide similar functionalities, is the fact that the ConsoleGUI framework is fully layout-driven. In this regard, it’s more like WPF or HTML, than for example Windows Forms. You don’t specify the exact coordinates at which a given control should reside, but rather let stack panels, dock panels, and other layout managers do their work. I don’t claim it’s THE right way of doing things, it’s just what my background is. The ConsoleGUI (as many other UI frameworks) is not thread-safe. All UI changes should be performed from the same thread. -
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CoreRender
UIKit a-là SwiftUI.framework
CoreRender is a SwiftUI-inspired API for UIKit (that is compatible with iOS 10+ and ObjC). CoreRender uses a declarative API to define UI components. You simply describe the layout for your UI based on a set of inputs and the framework takes care of the rest (diff and reconciliation from virtual view hierarchy to the actual one under the hood). CoreRender includes the robust and battle-tested Facebook's Yoga as default layout engine. Any component such as a text or image can be recycled and reused anywhere in the UI. -
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Coverlet
Cross platform code coverage for .NET
Coverlet is a cross-platform code coverage framework for .NET, with support for line, branch and method coverage. It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet documentation reflect the current repository state of the features, not the released ones. Check the changelog to understand if the documented feature you want to use has been officially released. Coverlet is integrated into the Visual Studio Test Platform as a data collector. Coverlet also integrates with the build system to run code coverage after tests. Enabling code coverage is as simple as setting the CollectCoverage property to true. The coverlet tool is invoked by specifying the path to the assembly that contains the unit tests. You also need to specify the test runner and the arguments to pass to the test runner using the --target and --targetargs options respectively. -
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CppSharp
Tools and libraries to glue C/C++ APIs to high-level languages
CppSharp is a tool and set of libraries that facilitates the usage of native C/C++ code with the .NET ecosystem. It consumes C/C++ header and library files and generates the necessary glue code to surface the native API as a managed API. Such an API can be used to consume an existing native library in your managed code or add managed scripting support to a native codebase. The supported target languages at present are C# and C++/CLI. It can also be used as a library to parse native code into a syntax tree with a rich declaration and type information model. Generates the glue binding code from a syntax tree of the native code. Provides APIs for parsing of C/C++ source code into a syntax tree. Mirrors the Clang's C/C++ AST and type system classes in C# APIs. -
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Cycle.js
A functional and reactive JavaScript framework for predictable code
Cycle’s core abstraction is your application as a pure function main() where inputs are read effects (sources) from the external world and outputs (sinks) are write effects to affect the external world. These I/O effects in the external world are managed by drivers, plugins that handle DOM effects, HTTP effects, etc. The internals of main() are built using Reactive Programming primitives, which maximizes separation of concerns and provides a fully declarative way of organizing your code. The dataflow is plainly visible in the code, making it readable and traceable. Cycle.js apps are made of pure functions, which means you know they only take inputs and generate predictable outputs, without performing any I/O effects. The building blocks are reactive streams from libraries like xstream, RxJS or Most.js, which greatly simplify code related to events, asynchrony, and errors. -
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Dagster
An orchestration platform for the development, production
Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust multi-tenant, multi-tool engine that scales technically and organizationally. Dagster as a unified control plane: The ‘single plane of glass’ data teams love to use. Rein in the chaos and maintain control over your data as the complexity scales. Centralize your metadata in one tool with built-in observability, diagnostics, cataloging, and lineage. Spot any issues and identify performance improvement opportunities. -
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Dapp tools by DappHub
Dapp, Seth, Hevm, and more
Command line tools and smart contract libraries for Ethereum smart contract development. All you need Ethereum development tool. Build, test, fuzz, formally verify, debug & deploy solidity contracts. Ethereum CLI. Query contracts, send transactions, follow logs, slice & dice data. Testing-oriented EVM implementation. Debug, fuzz, or symbolically execute code against local or mainnet state. Sign Ethereum transactions from a local keystore or hardware wallet. dapptools is currently in a stage of clandestine development where support for the casual user may be deprived. The software can now be considered free as in free puppy. Users seeking guidance can explore using foundry as an alternative. This repository contains the source code for several programs hand-crafted and maintained by DappHub, along with dependency management, courtesy of Nix. -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration. -
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Deepkit Framework
A new full-featured and high-performance TypeScript framework
A new full-featured and high-performance TypeScript framework for enterprise applications. High-quality TypeScript libraries and next-gen backend framework. Leverage TypeScript types to the fullest, in completely new ways. A runtime type system for JavaScript, powered by TypeScript types. Deepkit's type compiler makes it possible to use the whole TypeScript type system in any JavaScript runtime for the first time enabling completely new ways of writing data-driven applications. A framework that brings aligned libraries together to make web application development faster, more productive, and easier than ever. Powerful dependency injection container with type expressions to make HTTP routes, CLI commands, and RPC controllers safe, fast, and easy to write. No json configuration files, unnecessary boilerplate, schema files, or code generation: TypeScript is utilized to its fullest capabilities. -
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DefectDojo
DefectDojo is a DevSecOps and vulnerability management tool
DefectDojo is a security orchestration and vulnerability management platform. DefectDojo allows you to manage your application security program, maintain product and application information, triage vulnerabilities and push findings to systems like JIRA and Slack. DefectDojo enriches and refines vulnerability data using a number of heuristic algorithms that improve with the more you use the platform. DefectDojo integrates with 85+ security tools. DefectDojo has bi-directional integration with JIRA to manage vulnerabilities in developer's natural backlogs. DefectDojo has smart features that learn over time and can automatically tune results. DefectDojo has everything you need to track projects, personnel, metrics, and tasks. DefectDojo allows you to focus on what you actually enjoy doing, rather than reports and metrics. -
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DemocracyEarth Wallet
Censorship resistant democracies
Decentralized human identity without sybils or bots. Built with Kleros and the Ethereum community. No servers or databases are used. Control your identity with any Ethereum wallet. Contribute to the success of UBI and Proof of Humanity by leveraging ETH. Keep ETH or DAI in our smart contract vaults and help burn UBI tokens using yield. Half the yield is used to buy UBI. UBI is then burned, reducing its supply. No biometrics or real names are required. Just a quick video that proves your humanity. Audit any profile without permission. Challenged profiles go to a Kleros court. UBI is a Universal Basic Income token that gets streamed using Ethereum to verified Proof of Humanity profiles. ETH or DAI is lended via Yearn Finance. Earn the cumulative interest. -
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Derby
MVC framework making it easy to write collaborative applications
The Derby MVC framework makes it easy to write realtime, collaborative applications that run in both Node.js and browsers. Derby includes a powerful data synchronization engine called Racer that automatically syncs data among browsers, servers, and a database. Models subscribe to changes on specific objects, enabling granular control of data propagation without defining channels. Racer supports offline usage and conflict resolution out of the box, which greatly simplifies writing multi-user applications. Derby applications load immediately and can be indexed by search engines, because the same templates render on both server and client. In addition, templates define bindings, which instantly update the view when the model changes and vice versa. Derby makes it simple to write applications that load as fast as a search engine, are as interactive as a document editor, and work offline. -
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DifferenceKit
A fast and flexible O(n) difference algorithm framework
A fast and flexible O(n) difference algorithm framework for Swift collection. The algorithm is optimized based on the Paul Heckel’s algorithm. This is a diffing algorithm developed for Carbon, works stand alone. The algorithm optimized based on the Paul Heckel’s algorithm. See also his paper A technique for isolating differences between files released in 1978. It allows all kind of diffs to be calculated in linear time O(n). RxDataSources and IGListKit are also implemented based on his algorithm. The type of the element that to take diffs must be conform to the Differentiable protocol. -
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Discord4J
Reactive library to enable quick and easy development of bots
Discord4J is a fast, powerful, unopinionated, reactive library to enable quick and easy development of Discord bots for Java, Kotlin, and other JVM languages using the official Discord Bot API. Discord4J follows the reactive-streams protocol to ensure Discord bots run smoothly and efficiently regardless of size. Automatic rate-limiting, automatic reconnection strategies, and consistent naming conventions are among the many features Discord4J offers to ensure your Discord bots run-up to Discord's specifications and to provide the least amount of surprises when interacting with our library. Discord4J breaks itself into modules to allow advanced users to interact with our API at lower levels to build minimal and fast runtimes or even add their own abstractions. Discord4J can be used to develop any bot, big or small. We offer many tools for developing large-scale bots from custom distribution frameworks, off-heap caching, and its interaction with Reactor allows complete integration. -
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Distributed Transactions Manager
A distributed transaction framework that supports multiple languages
Support HTTP and GRPC, provide easy-to-use interfaces, lower substantially the barrier of getting started with distributed transactions, and newcomers can adapt quickly. Developers no longer worry about suspension, null compensation, idempotent transaction, and other tricky problems, the framework layer handles them all. Suitable for companies with the multi-language stack. Easy for go, python, php, nodejs, ruby and so forth. The only external dependence is the database server, easy to deploy, cluster, and scale horizontally. Supports TCC, SAGA, XA, and transaction messages. DTM is a distributed transaction framework that provides cross-service eventual data consistency. It provides saga, tcc, xa, 2-phase message, and outbox patterns for a variety of application scenarios. It also supports multiple languages and multiple store engines to form up a transaction. -
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Django Autocomplete Light
A fresh approach to autocomplete implementations
A fresh approach to autocomplete implementations, specially for Django. Python 2.7, 3.4, Django 2.0+ support (Django 1.11 (LTS), is supported until django-autocomplete-light-3.2.10), Django (multiple) choice support, Django (multiple) model choice support, Django generic foreign key support (through django-querysetsequence), Django generic many to many relation support (through django-generic-m2m and django-gm2m). Multiple widget support: select2.js, easy to add more. Creating choices that don't exist in the autocomplete, offering choices that depend on other fields in the form, in an elegant and innovative way. Dynamic widget creation (ie. inlines), supports YOUR custom scripts too. Provides a test API for your awesome autocompletes, to support YOUR custom use cases too. A documented automatically tested example for each use case in test_project. -
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Django Filer
File and Image Management Application for django
django Filer is a file management application for django that makes handling files and images a breeze. django-filer is a file management application for django. It handles uploading and organizing files and images in contrib.admin. Custom model fields are provided for use in 3rd party apps as a replacement for the default FileField from django. Behind the scenes a ForeignKey to the File model is used. It is possible to define the important part of an image (the subject location) in the admin interface for django-filer images. This is very useful when later resizing and cropping images with easy_thumbnails. The image can then be cropped automatically in a way, that the important part of the image is always visible. You can configure your project to generate canonical URLs for your public files. -
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Django friendly finite state machine
Django friendly finite state machine support
Django-fsm adds simple declarative state management for Django models. If you need parallel task execution, view, and background task code reuse over different flows - check my new project Django-view flow. Instead of adding a state field to a Django model and managing its values by hand, you use FSMField and mark model methods with the transition decorator. These methods could contain side effects of the state change. You may also take a look at the Django-fsm-admin project containing a mixin and template tags to integrate Django-fsm state transitions into the Django admin. FSM really helps to structure the code, especially when a new developer comes to the project. FSM is most effective when you use it for some sequential steps. Transition logging support could be achieved with help of django-fsm-log package. -
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Dopamine
Framework for prototyping of reinforcement learning algorithms
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important by Hessel et al., n-step Bellman updates, prioritized experience replay, and distributional reinforcement learning. For completeness, we also provide an implementation of DQN (Mnih et al., 2015). For additional details, please see our documentation. We provide a set of Colaboratory notebooks which demonstrate how to use Dopamine. We provide a website which displays the learning curves for all the provided agents, on all the games. -
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Drash
A microframework for Deno's HTTP server with zero 3rd-party dependency
Drash is a microframework for Deno's HTTP server. Drash is a microframework for Deno's HTTP server. It has zero third-party dependencies outside of Deno Standard Modules. It is designed to help you build performant, scalable projects quickly. Drash is a unique framework. It is not another Express clone. It is more of a mixture of different frameworks with a different take on how "controllers" are written.
