🚀 The easiest way to automate building and releasing your iOS and Android apps
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Updated
Nov 8, 2024 - Ruby
The general deployment process consists of several interrelated activities with possible transitions between them. These activities can occur at the producer side or at the consumer side or both.
🚀 The easiest way to automate building and releasing your iOS and Android apps
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
A deployment automation tool built on Ruby, Rake, and SSH.
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Open Source Alternative to Vercel, Netlify and Heroku.
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Package desktop applications as AppImages that run on common Linux-based operating systems, such as RHEL, CentOS, openSUSE, SLED, Ubuntu, Fedora, debian and derivatives. Join #AppImage on irc.libera.chat
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Bare metal to production ready in mins; your own fly server on your VPS.
Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
Universal automation and deployment tool ⛵️
Install and run GNU/Linux on Android
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