Search Results for "auto call"

mcpo is a minimal bridge that exposes any MCP tool as an OpenAPI-compatible HTTP server. Instead of writing glue code, you point mcpo at an MCP server command and it generates REST endpoints and an OpenAPI spec that other systems (or LLM agent frameworks) can call immediately. This design lets you reuse a growing library of MCP servers with platforms that only understand HTTP+OpenAPI, unifying tool access across ecosystems. The project emphasizes “dead-simple” setup and pairs with Open WebUI...

gRPC Go has support for "interceptors", i.e. middleware that is executed either on the gRPC Server before the request is passed onto the user's application logic, or on the gRPC client either around the user call. It is a perfect way to implement common patterns: auth, logging, tracing, metrics, validation, retries, rate limiting, and more, which can be great generic building blocks that make it easy to build multiple microservices. Especially for observability signals (logging, tracing, metrics) interceptors offer semi-auto-instrumentation that improves the consistency of your observability and allows great correlation techniques (e.g. exemplars and trace ID in logs). ...

Slua-unreal is an unreal4 plugin, which allows you to use Lua language to develop game logic and hot fix your code. It gives you 3 ways to wrap your C++ interface to Lua, including reflection by blueprint, C++ template, and static code generation. It also enables two-way communication between Blueprint and Lua. The advantage of Lua over C++ is that it requires no compilation for logic change, which significantly speeds up the game development process.

NW.js (formerly node-webkit) is a desktop runtime that combines Chromium with Node.js, allowing developers to build native applications using web technologies. It gives web pages direct access to Node modules and system resources from within the browser context, simplifying tasks like file I/O, process spawning, and OS integration. Apps are packaged with the runtime, ensuring consistent behavior across Windows, macOS, and Linux. The project supports custom window controls, tray menus, and...

Hugo is a small Android library (and annotation processor plugin) that automatically logs method calls, parameters, return values, and execution time for methods annotated with @DebugLog. Instead of manually adding logging statements everywhere, you simply annotate a method and Hugo injects the logging at compile-time in debug builds, keeping release builds clean. This helps developers gain visibility into method flows, execution timing, and parameter passing without cluttering production...

...Look for the project at : http://github.com/Dragonrun1/yapeal Yapeal not only grabs the data from the API for you but also saves the data into a MySQL database as well. It was made to be ran from a crontab job or a scheduled task and works in the background to 'Auto-magically' as I call it, keep the database updated so all you have to do is work with the database tables not the API and XML. It was designed to have a set and forget configuration.

Most known is SPE, a python IDE with auto indentation&completion,call tips,syntax coloring&highlighting,uml viewer,class explorer,source index,todo list,pycrust shell,file browsers,drag&drop,Blender support.Spe ships with wxGlade,PyChecker and Kiki.

Cheval is a platform independent GUI shell for Python written with PyGTK. Featuring tabbed sessions, Syntax highlighting, code completion, call tips, history, auto-indentation, load and save sessions and much more

SPE is a python IDE with auto indentation&completion,call tips,syntax coloring&highlighting,uml viewer,class explorer,source index,todo list,pycrust shell,file browsers,drag&drop,Blender support.Spe ships with wxGlade,PyChecker and Kiki.

...It brings the full five-stage LSP methodology online — skill building, individual model, shared model, system model, guiding principles — on a shared 2D brick canvas, in real time. It pairs with your existing video call rather than replacing it. Facilitators drive each stage through a live timer and state machine. Participants build on breakout-room canvases with live cursors, presence, per-brick reactions, and threaded comments. Rooms auto-compose each member's individual model into one shared view. A library of 20 scenario templates covers every stage, and AI session reports run on the facilitator's own Anthropic key. ...