Search Results for "telnet client web-based"
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Showing 15 open source projects for "telnet client web-based"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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TACO is a toolkit for building distributed control systems or any other distributed system. It is based on a C/C++ core. It is based on the client-server model. It supports writing clients and server on Unix+Windows. Clients and servers can be written in
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XML-RPC for Delphi is a library used on the server or client side of an XML-RPC communication. It is designed to compile under Delphi for Windows and Kylix for GNU/Linux. XML-RPC for Delphi requires the Open Source Indy components be installed.
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WS-JDBC is a client/server JDBC Driver, where the server part is implemented as Web services. This means the custom client JDBC Driver can call the service remotely, from anywhere on the Internet.
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*** WARNING ***: THIS PROJECT HAS MOVED TO GITHUB. GO TO http://www.graniteds.org FOR UP-TO-DATE INFORMATION AND LINKS. Granite Data Services (GraniteDS) is a comprehensive development and integration solution for building Flex / JavaEE RIA.
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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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RPC-JSON for Java is an API for J2EE which enables client-side RPC, so you can invoke web services with ease from your application.
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kXML-RPC is a Java ME (J2ME) implementation of the XML-RPC protocol built on top of the kXML parser. kXML-RPC empowers Java ME devices with a lightweight mechanism for exchanging data and invoking web services, in a neutral, standardized XML format.
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It is a lightweight API to invoke web services (RMI, CORBA, WebService (SOAP), XML-RPC, EJB, Hessian, Burlap, REST, ...), how simple Java Object calls. You can integrate Crispy in a Service Oriented Architecture (SOA) or in a Rich Client Platform (RCP).
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A set of libraries focused on parsing and processing XML and HTML. Modules include: ServerPages - a Perl application server with embedded scripting; Termite - an Ant-like make utility; Sockets - A socket client/server; and a slew of other utilities.
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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The TclSOAP package provides a mechanism to bind Tcl command procedures to remote procedure calls using the Simple Object Access Protocol (SOAP) and XML-RPC over HTTP. Both client and server code is provided.
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A PHP class library for the Open Archives Initiative Protocol Metadata Harvesting. This library provides a Server (= Repository) as well as a Client (= Harvester) interface. This package is conformant to and makes use of PEAR classes.
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XmlRpc++ is an implementation of the XmlRpc protocol written in C++, based upon Shilad Sen's excellent py-xmlrpc library. It is designed to make it easy to incorporate XmlRpc client+server support into C++ applications and requires no other libraries.
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Data server for user intelligent agents. Written in Python, using XML-RPC as client/server communication and RDBMS as storage.
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The DynAPI <!-- I D E --> is aimed at being an extensible tool for easy and correct development of dynamic webpages with client-side scripting with focus on the HTML Document Object Model as controlled by ECMA/Javascript.
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Web application for real-estate business processes and client relationship automation, featuring a CMS-like environment. Made with Python, Django framework and Postgres RDBMS.
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