With over 53 social login options, you can fast-track the signup and login experience for users.
From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
Best-in-class automation, scalability, and single-pane IT management.
Don’t settle when it comes to managing your clients’ IT infrastructure. Exceed their expectations with ConnectWise RMM, our MSP RMM software that provides proactive tools and NOC services—regardless of device environment. With the number of new vulnerabilities rising each year, smart patching procedures have never been more important. We automatically test and deploy patches when they are viable and restrict patches that are harmful. Get better protection for clients while you spend less time managing endpoints and more time growing your business. It’s tough to locate, afford, and retain quality talent. In fact, 81% of IT leaders say it’s hard to find the recruits they need. Add ConnectWise RMM, NOC services and get the expertise and problem resolution you need to become the advisor your clients demand—without adding headcount.
HomeKit support for the impatient using Docker on x86_64
This Ubuntu Linux based Docker image allows you to run Nfarina's Homebridge on your home network which emulates the iOS HomeKit API. This is a multi-arch image and will run on x86_64, Raspberry Pi 2, 3, 4, Zero 2 W, or other Docker-enabled ARMv7/8 devices. Docker will automatically pull the correct image for your system. Homebridge requires full access to your local network to function correctly. This image will not work when using Docker for Mac or Docker for Windows. The parameters are split...
Framework for GPU-accelerated video and image 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.