Search Results for "apache server"
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Showing 8 open source projects for "apache server"
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1
Outline Server
Outline Manager, developed by Jigsaw
Access to the free and open Internet. Outline makes it easy to create a VPN server, giving anyone access to the free and open Internet. Outline allows anyone to access the free and open Internet more securely by running their own VPN. Running your own VPN server with Outline increases the security of Internet access and makes the connection harder to block. VPNs are useful to protect the privacy of your communications and allow you to keep access to the Internet open. However, with most VPN... -
2
CapRover
Scalable PaaS (automated Docker+nginx), aka Heroku on Steroids
CapRover is an extremely easy-to-use app/database deployment & web server manager for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications! It's blazingly fast and very robust as it uses Docker, Nginx, LetsEncrypt and NetData under the hood behind its simple-to-use interface. For a developer who does not like spending hours and days setting up a server, building tools, sending code to the server, building it, getting an SSL certificate,... -
3
Google Auth Library
Google Auth Library for Node.js
This is Google's officially supported node.js client library for using OAuth 2.0 authorization and authentication with Google APIs. Use Application Default Credentials when you use a single identity for all users in your application. Especially useful for applications running on Google Cloud. Application Default Credentials also support workload identity federation to access Google Cloud resources from non-Google Cloud platforms. Use JWT when you are using a single identity for all users.... -
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ThingsBoard
Device management, data collection, processing and visualization
ThingsBoard is an open-source IoT platform for data collection, processing, visualization, and device management. It enables device connectivity via industry standard IoT protocols, MQTT, CoAP and HTTP and supports both cloud and on-premises deployments. ThingsBoard combines scalability, fault-tolerance and performance so you will never lose your data. Provision, monitor and control your IoT entities in a secure way using rich server-side APIs. Define relations between your devices, assets,... -
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5
Mobile Next
Model Context Protocol Server for Mobile Automation and Scraping
Mobile Next is a Model Context Protocol server designed to enable scalable, AI-driven mobile automation across both iOS and Android environments through a unified interface. It abstracts away platform-specific complexities, allowing developers and AI agents to interact with mobile devices using a consistent set of commands regardless of operating system. The system supports real devices, emulators, and simulators, making it suitable for testing, automation, and data extraction workflows in... -
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Homebridge
HomeKit support for the impatient
Homebridge is a lightweight NodeJS server you can run on your home network that emulates the iOS HomeKit API. It supports Plugins, which are community-contributed modules that provide a basic bridge from HomeKit to various 3rd-party APIs provided by manufacturers of "smart home" devices. Since Siri supports devices added through HomeKit, this means that with Homebridge you can ask Siri to control devices that don't have any support for HomeKit at all. Once your device has been added to... -
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Kubernetes Dashboard
General-purpose web UI for Kubernetes clusters
Kubernetes Dashboard is a general purpose, web-based UI for Kubernetes clusters. It allows users to manage applications running in the cluster and troubleshoot them, as well as manage the cluster itself. To access Dashboard from your local workstation you must create a secure channel to your Kubernetes cluster. Kubeconfig Authentication method does not support external identity providers or certificate-based authentication. Metrics-Server has to be running in the cluster for the metrics and... -
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Log.io
Real-time log monitoring in your browser
Inputs watch log files for changes, send new log messages to the server, which broadcasts to web clients. Log messages are tagged with stream and source information based on user configuration. log.io has no persistence layer. File inputs are informed of file changes via inotify, and log messages hop from input to server to web client via TCP and socket.io, respectively. log.io uses a stateless TCP API to receive log messages. Writing a third party harvester is easy. Open a TCP connection to...
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