Search Results for "telnet-server"
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Showing 4 open source projects for "telnet-server"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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socketify.py
Bringing Http/Https and WebSockets High Performance servers for PyPy3
Socketify.py is a reliable, high-performance Python web framework for building large-scale app backends and microservices. With no precedents websocket performance and a really fast HTTP server that can delivery encrypted TLS 1.3 quicker than most alternative servers can do even unencrypted, cleartext messaging. -
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A simple WebSocket server
A simple WebSocket server
A simple WebSocket server. -
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pyindi-client
Python binding to the libindi library
...PyQt applications may also be built on top of IndiClient, thus allowing rapid development of GUI Indi clients. Besides Python there are also bindings for node.js, Tcl (incomplete) and PHP (not useful). As application examples you will find a Python Websocket server with which you may build a web application interacting with Indi servers, and a simple PyQt application similar to the Kstars Indi Control Panel (was built as an exercise). Finally there is an equatorial mount 3D simulator written with Freecad and Python, planned to be connected with the PyIndi module. *** The pyindi-client binding has moved to github... -
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Karellen Gevent Websocket Library
Karellen Gevent Websocket Library
This is a Karellen fork of gevent-websocket. The goal of this fork is to maintain the project to support Python 3.3, 3.4 and 3.5+ as well as latest WS standards errata. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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