Open Source Libraries - Page 73
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ConvNetJS
Deep learning in Javascript to train convolutional neural networks
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and train Convolutional Networks that process images, and experimental Reinforcement Learning modules, based on Deep Q Learning. The library allows you to formulate and solve Neural Networks in Javascript. If you would like to add features to the library, you will have to change the code in src/ and then compile the library into the build/ directory. The compilation script simply concatenates files in src/ and then minifies the result. -
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CookieBar 2
Android library for displaying text messages, notifications and alerts
Android library for displaying text messages, notifications, and alerts at the top or bottom of the screen. A great alternative for toast and snack bar alerts. CookieBar is a lightweight UI/UX library for displaying an interactive message on the screen. -
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CoolplaySpark
Spark Cool Play: Spark source code analysis, Spark class library, etc.
CoolplaySpark is a learning and practice repository designed to help users understand and work with Apache Spark. It serves as a companion resource for the book 深入理解Spark核心思想与源码分析 (In-Depth Understanding of Spark’s Core Concepts and Source Code Analysis). The project contains annotated examples, explanations, and exercises that guide learners through Spark’s architecture, execution model, and source code internals. It is particularly valuable for developers who want to strengthen their understanding of Spark by not only using it as a data processing engine but also exploring how its internals function. Through code analysis and commentary, CoolplaySpark helps readers connect theoretical concepts with practical implementation details. By combining book study with this repository, learners can develop both conceptual clarity and hands-on expertise in Spark’s core components. -
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Coraza
OWASP Coraza WAF is a golang modsecurity compatible firewall library
Coraza is an open-source, enterprise-grade, high-performance Web Application Firewall (WAF) ready to protect your beloved applications. It is written in Go, supports ModSecurity SecLang rulesets and is 100% compatible with the OWASP Core Rule Set. Coraza is a drop-in alternative to replace the soon-to-be abandoned Trustwave ModSecurity Engine and supports industry-standard SecLang rule sets. Coraza runs the OWASP Core Rule Set (CRS) to protect your web applications from a wide range of attacks, including the OWASP Top Ten, with a minimum of false alerts. CRS protects from many common attack categories including: SQL Injection (SQLi), Cross Site Scripting (XSS), PHP & Java Code Injection, HTTPoxy, Shellshock, Scripting/Scanner/Bot Detection & Metadata & Error Leakages. Coraza is a library at its core, with many integrations to deploy on-premise Web Application Firewall instances. -
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Core Data Editor
Core Data Editor lets you easily view, edit and analyze applications
Core Data Editor is a macOS application that provides a graphical interface for inspecting and editing Core Data databases. It simplifies the debugging and modification of persistent store files used in iOS and macOS applications. -
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A C/D/Java style programming language with built in support for concurrent programming (microthreads, actor model). It is implemented as a LLVM front end to allow for native X86 high performance code generation.
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CoreNet
CoreNet: A library for training deep neural networks
CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed runtime manages synchronization, load balancing, and mixed-precision computation to maximize throughput while minimizing communication bottlenecks. CoreNet integrates tightly with Apple’s proprietary ML stack and hardware, serving as the foundation for research in computer vision, language models, and multimodal systems within Apple AI. The framework includes monitoring tools, fault tolerance mechanisms, and efficient checkpointing for massive training runs. -
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CoreTweet
A .NET Twitter Library
Simple, Powerful, and Well-designed for LINQ We recommend using NuGet to install this library. https://www.nuget.org/packages/CoreTweet -
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Coronis SDK
Set of module for data processing of wireless device
The goal is to create a leading “Set of software libraries for data processing of wireless device based on Coronis platform“. These libraries will run on all major platforms (embedded and desktop) and provide services for data processing through generic APIs. Keywords: Coronis, Wavenis, API, Plugin, Wireless, Waveport, Wavecard, Profile, Java, C, C++, C# -
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Corrode
C to Rust translator
Corrode is an experimental translator that converts C code into Rust, intended to help migrate existing C codebases toward safer Rust idioms. It parses C, maps C types and constructs into Rust equivalents, and generates code that compiles under rustc, introducing unsafe only when necessary. The tool seeks to produce readable Rust that a developer can then refine by hand, rather than a perfect one-to-one mechanical translation. It handles common C features such as pointers, structs, enums, arrays, and function calls, while flagging areas that need attention during the migration. Preprocessor handling and tricky macro patterns are approached pragmatically, aiming for working output over exhaustive transformation. As a proof-of-concept, it demonstrates how automated tooling can accelerate moving from legacy C to a memory-safe language without a full rewrite. -
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Cosmopolitan
Build-once run-anywhere c library
Cosmopolitan Libc makes C a build-once run-anywhere language, like Java, except it doesn't need an interpreter or virtual machine. Instead, it reconfigures stock GCC and Clang to output a POSIX-approved polyglot format that runs natively on Linux + Mac + Windows + FreeBSD + OpenBSD + NetBSD + BIOS with the best possible performance and the tiniest footprint imaginable. Cosmopolitan can be compiled from source on any Linux distro. GNU make needs to be installed beforehand. This is a freestanding hermetic repository that bootstraps using a vendored static gcc9 executable. No further dependencies are required. -
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CoTaMan - Concurrent Task Manager is a library based on Boost that allows you to easily run a set of tasks with known dependencies on multiple threads that are managed in a thread pool.
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CouchDB4CF is a set of ColdFusion facade objects that encapsulate the easy to use CouchDB4J project written by Marcus R. Breese (http://github.com/mbreese/couchdb4j). This project's purpose is to simplify access to CouchDB databases.
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Countable
Add live paragraph-, word- and character-counting to an HTML element
Countable is a JavaScript function to add live paragraph-, word- and character-counting to an HTML element. Countable is a zero-dependency library and comes in at 1KB when minified and gzipped. Countable is available as a Node / CommonJS module, an AMD module and as a global. All methods are accessed on the Countable object directly. The on and count methods both accept a callback. The given callback is then called whenever needed with a single parameter that carries all the relevant data. this is bound to the current element. -
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Countries, Languages & Continents data
Countries, Languages & Continents data (capital and currency)
Continents & countries (with languages, capital and currency, native name, calling codes). Continents & countries: ISO 3166-1 alpha-2 code, name, ISO 639-1 language, capital and currency, native name, calling codes. Lists are available in JSON, CSV and SQL formats. Also, contains separate JSON files with additional country Emoji flags data. This version changes a lot in the data structures and placement of the files. So, if your projects depend on the old structure — specify previous versions, <2.0.0. Country item languages field is an Array in JSON files to easily count and match items with a Language item. But currency and phone calling codes may be a comma-separated String. Languages list only contains languages used in Countries data. Full list of known languages is exported as languagesAll from ./dist/languages.all.json. -
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Country Code Picker Library
Search and select country or international phone code
If you are looking for an Android library for Country Selector or Country Spinner or Country Phone Code selector, this is the perfect place for you. Give a professional touch to your well-designed form like the login screen, sign-up screen, and edit profile screen with CCP. When used as a phone code picker, it helps by removing confusion about how to add the phone number and making the view more understandable. If you prefer experience along with explanations, a demo android app is available that demonstrates all the features of this library. -
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CppClay
Provide a c++ basement to create an application
Provide a c++ basement to create an application. - Configuration file - A network interface using boost - Vector 2, 3 and 4 - Unique id generator - Log file - Execption - Unit tests -
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CppExcel is an unmanaged, stand-alone, platform-independent C++ library for reading and writing native Microsoft Excel 2007 XLSX and 97-2003 XLS files, without Excel needing to be installed. CppExcel is based on the PHPExcel library.
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CppServer
Fast and low latency asynchronous socket server & client C++ library
Ultra-fast and low latency asynchronous socket server & client C++ library with support TCP, SSL, UDP, HTTP, HTTPS, WebSocket protocols, and 10K connections problem solution. Cross platform (Linux, MacOS, Windows) Asynchronous communication. Supported CPU scalability designs: IO service per thread, thread pool. Supported transport protocols: TCP, SSL, UDP, UDP multicast. Supported Web protocols: HTTP, HTTPS, WebSocket, WebSocket secure. Supported Swagger OpenAPI iterative documentation. Supported message protocol based on Fast Binary Encoding. -
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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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CppWeb - C++ Web developement framework
Cross-platform C++ library for developing CGI Web applications
CppWeb is cross-platform C++ library for developing web applications with server push support. The library decodes CGI variables and cookies, supports file uploads, performs automatic cookie detection, provides URL and HTML entity encode/decode functions, supports server-push (long-polling via ajax), has built-in HTML parser, SQLite database wrapper etc. CppWeb compiles on Windows, Linux and MacOSX (tested with GNU C++, MingW, MS Visual C++ and Borland C++ compiler) and can run with almost any web server (Apache, IIS, Boa etc.). Can be used in embedded systems (tested with FriendlyARM Mini2440 and Raspberry PI)
