11 open-source projects similar to fabasoad/setup-brainfuck-action, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Setup Brainfuck Action alternative.
Spacemacs is a community-driven configuration for Emacs that integrates modal text editing and a modular system for managing editor features. It implements distinct states for navigation and insertion to separate text manipulation from text entry, combining the efficiency of modal navigation with the extensibility of the Emacs environment. The project distinguishes itself through a layer-based feature composition system, which groups related third-party packages and configurations into modular units. This system includes dependency-based resolution to manage conflicting extensions and a mnemo
Github Action to create maven settings (~/.m2/settings.xml)
Build Go applications for multiplatform on GitHub Actions
Automatically publish Go binaries to Github Release Assets through Github Action.
The GitHub Action to setup vcpkg for your C++ based projects. Stores built ports using Binary Caching backed onto GH Cache.
GitHub Action for Gradle version verification
GitHub Action to build C++ applications with CMake (CMakePresets.json), Ninja and vcpkg on GitHub.
embedded-notes is a collection of technical study guides and development notes focused on embedded Linux, Linux kernel internals, and C programming. It serves as a reference for embedded systems development and a preparation resource for technical interviews in the field. The project provides detailed documentation on writing device drivers, managing virtual memory, and understanding kernel internals. It also includes guides on IoT network protocols, such as MQTT and TCP/IP, and outlines the architectural details of chip architectures and hardware peripherals. The material covers a broad sur
OTP is a concurrent programming framework and distributed computing platform that serves as the Erlang runtime environment. It provides a fault-tolerant operating environment designed for building scalable, real-time systems that manage massive amounts of simultaneous tasks through asynchronous messaging. The environment is distinguished by its use of an actor-based concurrency model and hierarchical supervision trees that automatically restart failed processes. It supports hot code loading to allow system updates without downtime and utilizes a preemptive user-space scheduler to manage light
This is a cross-platform framework for building, training, and deploying custom machine learning models within the .NET ecosystem. It provides a predictive modeling engine for classification, regression, and forecasting tasks, alongside an inference runtime to generate predictions across different hardware architectures. The framework includes a gradient boosting library and supports interoperability with external models via a standardized open format. It features tools for prediction explainability, allowing the analysis of feature importance to debug model behavior and identify bias. The p