Open Source Mac System Software - Page 11
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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BCC (BPF Compiler Collection)
Tools for BPF-based Linux IO analysis, networking, monitoring, etc.
BCC is a toolkit that simplifies creating efficient kernel tracing, monitoring, and manipulation programs by leveraging extended Berkeley Packet Filters (eBPF). It includes a rich set of example tools and scripting interfaces in C, Python, and Lua. BCC makes BPF programs easier to write, with kernel instrumentation in C (and includes a C wrapper around LLVM), and front-ends in Python and lua. It is suited for many tasks, including performance analysis and network traffic control. With a BPF-specific frontend, one should be able to write in a language and receive feedback from the compiler on the validity as it pertains to a BPF backend. This toolkit aims to provide a frontend that can only create valid BPF programs while still harnessing its full flexibility. -
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C# SNMP Library
C# SNMP Library (#SNMP) - Open source SNMP implementation for C#
SharpSnmpLib is an open-source SNMP library for C# and .NET applications. It helps developers add Simple Network Management Protocol functionality without building the protocol layer from scratch. The project supports SNMP v1, v2c, and v3, making it useful for a wide range of network management scenarios. It can be used to build both SNMP managers and agents. Its asynchronous operations help applications stay responsive while handling network communication. The library is also designed to be extensible, so teams can adapt it to specialized monitoring, discovery, and device management needs. -
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CocoaLumberjack
A flexible logging framework for Mac and iOS
CocoaLumberjack is a fast & simple, yet powerful & flexible logging framework for macOS, iOS, tvOS and watchOS. First, install CocoaLumberjack via CocoaPods, Carthage, Swift Package Manager or manually. Then use DDOSLogger for iOS 10 and later, or DDTTYLogger and DDASLLogger for earlier versions to begin logging messages. Carthage is a lightweight dependency manager for Swift and Objective-C. It leverages CocoaTouch modules and is less invasive than CocoaPods. As of CocoaLumberjack 3.6.0, you can use the Swift Package Manager as integration method. If you want to use the Swift Package Manager as integration method, either use Xcode to add the package dependency or add a dependency to your Package.swift. CocoaLumberjack also ships with a backend implementation for swift-log. Simply add CocoaLumberjack as dependency to your SPM target and also add the CocoaLumberjackSwiftLogBackend product as dependency to your target. -
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ElAdmin
Backend management system based on Spring Boot
Eladmin is a modular, full-featured backend management system based on Spring Boot, Spring Security, JWT, and Vue.js. It provides a front-end and back-end separation architecture suitable for enterprise-level projects and includes functionality like user and role management, logging, code generation, and monitoring. Eladmin is designed for quick deployment of admin systems and offers a robust base for building custom applications with authentication, authorization, and responsive UI components. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Fast Android Networking
A Complete Fast Android Networking Library that also supports HTTP/2
Fast Android Networking Library is a powerful library for doing any type of networking in Android applications which is made on top of OkHttp Networking Layer. Fast Android Networking Library takes care of each and everything. So you don't have to do anything, just make a request and listen for the response. The recent removal of HttpClient in Android Marshmallow(Android M) made other networking libraries obsolete. No other single library does and everything like making requests, downloading any type of file, uploading file, loading images from the network in ImageView, etc. There are some libraries but they are outdated. No other library provides a simple interface for doing all types of things in networking like setting priority, canceling, etc. As it uses Okio , No more GC overhead in android applications. Okio is made to handle GC overhead while allocating memory. Okio does some clever things to save CPU and memory. -
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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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GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS. -
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Go Chassis
A cloud native application framework for Go with rich eco-system
Go-Chassis is a microservice framework for the rapid development of microservices in Go. it focuses on helping developer to deliver cloud-native applications more easily. The idea of the logo is, developers can recreate and customize their own "wheel"(a framework) by going chassis to accelerate the delivery of software. Powerful middleware "handler chain": powerful than "filter" or "interceptor". each handler in the chain is able to get the running result of the backward handler and your business logic. It is very useful in a variety of scenarios. Go Chassis is designed as a protocol-independent framework, any protocol is able to integrate with go chassis and leverage the same functions like load balancing, circuit breaker, rate limiting, and routing management, those functions are resilient to your service. Support Service center, kubernetes. fit both client side discovery and server side discovery pattern, and you can disable service discovery to use end to end communication. -
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Gorse Recommender System Engine
An open source recommender system service written in Go
An open-source recommender system service written in Go. Recommend items from Popular, latest, user-based, item-based and collaborative filtering. Search the best recommendation model automatically in the background. Support horizontal scaling in the recommendation stage after single node training. Support Redis, MySQL, Postgres, MongoDB, and ClickHouse as its storage backend. Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from recently inserted feedback. Provide GUI for data management, system monitoring, and cluster status checking. Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user. -
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Kong
The Cloud-Native API Gateway
Kong is a next generation cloud-native API platform for multi-cloud and hybrid organizations. When building for the web, mobile, or Internet of Things, you’ll need a common functionality to run your software, and Kong is that solution. Kong acts as a gateway, connecting microservices requests and APIs natively while also providing load balancing, logging, monitoring, authentication, rate-limiting, and so much more through plugins. Kong is highly extensible as well as platform agnostic, connecting APIs across different environments, platforms and patterns. Achieve architectural freedom with Kong today. -
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Medusa
An open source interactive disassembler
Medusa is a disassembler designed to be both modular and interactive. It runs on Windows and Linux, it should be the same on OSX. This project is organized as a library. To disassemble a file you have to use medusa_text or qMedusa. Medusa requires the following libraries: boost >= 1.55 (system, filesystem, thread, date_time), OGDF (required git), and Qt5 >= 5.2 for the GUI. You also need CMake for compilation and a C++11 compiler (VS2015 update 2 on Windows). Git is optional but allows to clone remote repository for specific features. If you do not wish to install the various dependencies on your system, you can use this docker image instead. Even though it is working out of the box, you may want to customize it to suit your needs or for added security (e.g. restrict ssh access to public key authentication only). -
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Mousetrap
Simple library for handling keyboard shortcuts in Javascript
Mousetrap is a standalone library with no external dependencies. It weighs in at around 2kb minified and gzipped and 4.5kb minified. Mousetrap has been tested and should work in Internet Explorer 6+, Safari, Firefox, and Chrome. The bind method is the main call you will be making. This will bind a specified keyboard command to a callback method. If you want to bind multiple key commands to the same callback you can pass in an array for the first argument. Mousetrap 1.4 introduced a generic mod helper which lets you set cross platform shortcuts. The sequence of keys feature was inspired by Gmail. Any keys separated by a space will be considered a sequence. If you type each key in order the final one in the sequence will trigger the callback. If you type a key not in the sequence or wait too long the sequence will reset. You can also make a sequence that includes key combinations within it. -
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NeoPixelBus
An Arduino NeoPixel support library
An Arduino NeoPixel support library supports a large variety of individually addressable LEDs. Please refer to the Wiki for more details. Please use the gitter channel to ask questions as the GitHub Issues feature is used for bug tracking. A library to control one wire protocol RGB and RGBW LEDs like APA106, SK6812, WS2811, WS2812, and WS2813 that are commonly referred to as NeoPixels and two-wire protocol RGB like Lpd8806, APA102, and SK9822 commonly referred to as DotStars. Supports most Arduino platforms. ESP32 support for using both RMT and i2s. RMT timing currently is sensitive to high interrupt frequency due to issues in the Core. There are multiple competing libraries, FastLED being the biggest and Adafruit NeoPixel being the most common for beginners. On ESP32, both FastLED and NeoPixelBus can provide more than one channel/bus. FastLED primarily uses RMT to support 8 parallel channels. NeoPixelBus now supports the RMTs 8 channels and two more channels using i2s. -
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Origin
Community Distribution of Kubernetes
Origin, also known as OKD is the community distribution of Kubernetes that has been optimized for continuous application development and multi-tenant deployment. It adds developer and operations-centred tools to Kubernetes to speed up application development and simplify deployment, scaling, as well as long-term lifecycle maintenance. It also makes it easier to launch Kubernetes on any cloud or bare metal and run and update clusters, while providing all the necessary tools for creating successful containerized applications. -
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Pipeline
Banzai Cloud Pipeline is a solution-oriented application platform
Banzai Cloud Pipeline is a solution-oriented application platform which allows enterprises to develop, deploy and securely scale container-based applications in multi- and hybrid-cloud environments. Banzai Pipeline, or simply Pipeline is a tabletop reef break located in Hawaii, Oahu's North Shore. The most famous and infamous reef in the universe is the benchmark by which all other waves are measured. Banzai Cloud Pipeline is a solution-oriented application platform which allows enterprises to develop, deploy and securely scale container-based applications in multi- and hybrid-cloud environments. Provisioning: Provision highly available Kubernetes clusters on cloud providers, on-premise or hybrid configurations. Multi and Hybrid clouds: Avoid lock in and move between providers and build hybrid clouds in four different ways. -
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QxOrm library
C++ Qt ORM (Object Relational Mapping) and ODM library
QxOrm library is an Object Relational Mapping (ORM) and Object Document Mapper (ODM) database library for C++ Qt developers. QxEntityEditor is a graphic editor for QxOrm library : QxEntityEditor provides a graphic way to manage the data model. QxEntityEditor is multi-platform (available for Windows, Linux, and Mac OS X) and generates native code for all environments, desktop (Windows, Linux, Mac OS X), embedded and mobile (Android, iOS, Windows Phone, Raspberry Pi, etc.). A user manual (documentation) for QxEntityEditor application is available on QxOrm website. -
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SwiftNIO
Network application framework for protocol servers and clients
SwiftNIO is a cross-platform asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. Low-level protocol implementations are often a collection of ChannelHandlers that implement a protocol but still require the user to have a good understanding of SwiftNIO. Often, low-level protocol implementations will then be wrapped in high-level libraries with a nicer, more user-friendly API. High-level implementations are usually libraries that come with an API that doesn't expose SwiftNIO's ChannelPipeline and can therefore be used with very little (or no) SwiftNIO-specific knowledge. The implementations listed below do still do all of their I/O in SwiftNIO and integrate really well with the SwiftNIO ecosystem. SwiftNIO aims to support all of the platforms where Swift is supported. Currently, it is developed and tested on macOS and Linux. -
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The Reactive Extensions for Python
Reactive extensions for Python
RxPY is a library for composing asynchronous and event-based programs using observable collections and pipable query operators in Python. A library for composing asynchronous and event-based programs using observable collections and query operator functions in Python. Reactive Extensions for Python (RxPY) is a set of libraries for composing asynchronous and event-based programs using observable sequences and pipable query operators in Python. Using Rx, developers represent asynchronous data streams with Observables, query asynchronous data streams using operators, and parameterize concurrency in data/event streams using Schedulers. RxPY is a fairly complete implementation of Rx with more than 120 operators, and over 1300 passing unit-tests. RxPY is mostly a direct port of RxJS, but also borrows a bit from RxNET and RxJava in terms of threading and blocking operators. -
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Traefik
An open-source reverse proxy and load balancer
Traefik (pronounced traffic) is a modern HTTP reverse proxy and load balancer that makes deploying microservices easy. Traefik integrates with your existing infrastructure components (Docker, Swarm mode, Kubernetes, Marathon, Consul, Etcd, Rancher, Amazon ECS, ...) and configures itself automatically and dynamically. Pointing Traefik at your orchestrator should be the only configuration step you need. -
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angular-filemanager
JavaScript file manager Material Design folder explorer
A very smart filemanager to manage your files in the browser developed in AngularJS following Material Design styles by Jonas Sciangula Street. This project provides a web file manager interface, allowing you to create your own backend connector following the connector API. By the way, we provide some example backend connectors in many languages as an example (PHP-FTP, PHP-local, python, etc). Pick files callback for third parties apps. Directory tree navigation. Copy, Move, Rename (Interactive UX). Delete, edit, preview, download. File permissions (Unix chmod style). Mobile support. Drag and drop. Dropbox and Google Drive connectors. Remove usage of jQuery. You can do many things by extending the configuration. Like hide the sidebar or the search button. For transparency into our release cycle and in striving to maintain backward compatibility, angular-file manager is maintained under the Semantic Versioning guidelines. -
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automaxprocs
Automatically set GOMAXPROCS to match Linux container CPU quota
Automatically set GOMAXPROCS to match Linux container CPU quota. All APIs are finalized, and no breaking changes will be made in the 1.x series of releases. Users of semver-aware dependency management systems should pin automaxprocs to ^1. When GOMAXPROCS is increased above the CPU quota, we see P50 decrease slightly but see significant increases to P99. We also see that the total RPS handled also decreases. Data was measured from Uber's internal load balancer. We ran the load balancer with 200% CPU quota (i.e., 2 cores). -
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blinker-library
An IoT Solution,Blinker library for embedded hardware
Blinker library for embedded hardware. Works with Arduino, ESP8266, ESP32. When we learn new embedded hardware, we usually started with the sketch Blink. We think Blink is the hello world of embedded hardware. We aim to build an easy learn IoT solution project, which is like Blink a led. So we named this project blinker with this inspiration. blinker is a cross-hardware, cross-platform solution for the IoT. It provides APP, device, and server support, and uses public cloud services for data transmission and storage. It can be used in smart homes, data monitoring, and other fields to help users build Internet of Things projects better and faster. -
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tinylog
tinylog is a lightweight logging framework for Java, Kotlin, Scala
Simplify your logging with tinylog. The lightweight logging framework can be used with Java, Kotlin, Scala, and any other JVM language. tinylog is open source and runs wherever Java is used: JVM, GraalVM, and Android. -
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vue-admin-template
A vue2.0 minimal admin template
vue-element-admin is a production-ready front-end solution for admin interfaces. It based on vue and use the UI Toolkit element-ui. It is a minimal vue admin template with Element UI, axios, iconfont, permission control, and lint. The current version is v4.0+ build on vue-cli. If you want to use the old version , you can switch branch to tag/3.11.0, it does not rely on vue-cli. If you want router permission && generate menu by user roles , you can use this branch permission-control. For typescript version, you can use vue-typescript-admin-template (Credits: @Armour). For publishing, you only have to publish the resulting static file after build, which is usually the static file in the dist folder, to your cdn or static server. Note that the index.html usually will be an entry page for your backend service. You may need to change the page's import path after determining static for JS and css. -
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xsv
A fast CSV command line toolkit written in Rust
xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files. Commands should be simple, fast and composable. Simple tasks should be easy. Performance trade offs should be exposed in the CLI interface. Composition should not come at the expense of performance. Let's say you're playing with some of the data from the Data Science Toolkit, which contains several CSV files. Maybe you're interested in the population counts of each city in the world. So grab the data and start examining it. The next thing you might want to do is get an overview of the kind of data that appears in each column. The stats command will do this for you. The xsv table command takes any CSV data and formats it into aligned columns using elastic tabstops. These commands are instantaneous because they run in time and memory proportional to the size of the slice (which means they will scale to arbitrarily large CSV data).
