Search Results for "programming without coding"
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Showing 10 open source projects for "programming without coding"
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Tidal
Pattern language
Tidal Cycles (or just Tidal for short) is software for making patterns with code, whether live coding music at algoraves or composing in the studio. It includes a simple and flexible notation for rhythmic sequences and an extensive library of patterning functions for combining and transforming them. This allows you to quickly create complex patterns from simple ingredients. By default, sound is made with the featureful SuperDirt synth/sampler, but you can control other synths using Open... -
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Yampa
Functional Reactive Programming domain-specific language
Yampa is a Functional Reactive Programming (FRP) library for Haskell, specifically designed for modeling hybrid systems that involve both continuous and discrete time behaviors, such as games, simulations, robotics, and reactive systems. Based on the concept of signal functions, Yampa offers a declarative way to model time-varying values and their transformations, making it easier to manage complex time-based logic without resorting to imperative state management. -
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Clash
Haskell to VHDL/Verilog/SystemVerilog compiler
...Together with Clash's standard library it is easy to build scalable and reusable hardware designs. Load your designs in an interpreter and easily test all your component without needing to setup a test bench. Although Clash offers many features, you sometimes need to directly access VHDL, Verilog, or SystemVerilog directly. -
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Software Design in Haskell
Software Design in Haskell
This repository accompanies a comprehensive guide to building large, maintainable Haskell systems, focusing on architecture, modularity, and practical design techniques. It presents patterns for separating pure domain logic from side effects, organizing code into layers and components that can be tested in isolation. Readers encounter multiple styles—MTL/typeclass constraints, tagless-final encodings, free and freer monads, ReaderT-style application environments—and learn when to apply each.... -
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IHP
The fastest way to build type safe web apps
The Haskell Framework for Non-Haskellers. Blazing fast, secure, easy to refactor and the best developer experience with everything you need, from prototype to production. IHP is a database-centric framework. It comes with an integrated Postgres server out of the box. With Haskell and Nix we use the most reliable technologies available, to make sure your application will never crash because of Null Pointer Exceptions. IHP comes with everything you need to build great web applications out of... -
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The HaskellR project
The full power of R in Haskell
The HaskellR project provides an environment for efficiently processing data using Haskell or R code, interchangeably. HaskellR allows Haskell functions to seamlessly call R functions and vice versa. It provides the Haskell programmer with the full breadth of existing R libraries and extensions for numerical computation, statistical analysis and machine learning. Optionally, pass in the --nix flag to all commands if you have the Nix package manager installed. Nix can populate a local build... -
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Lamdu
Lamdu, towards the next generation IDE
Lamdu is a programming language designed to be useful and delightful. This project aims to create a next-generation, live programming environment that radically improves the programming experience. A predictable user interface with rich code completions, without the possibility of syntax errors. Continuous, automatic code formatting without the user needing to deal with formatting. -
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Carp
A functional, systems programming language with linear types
Carp is a statically typed, functional programming language designed for real-time and systems programming. It features a Lisp-like syntax, strong compile-time checks, and linear type semantics that ensure memory safety without a garbage collector. Carp targets C as its backend, generating performant and predictable native code while offering functional abstractions and interactive development via REPL. -
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Kaleidoscope
Haskell LLVM JIT Compiler Tutorial
...Because it uses Haskell idioms, the code clearly separates pure syntax handling from effectful JIT operations, making the architecture easy to reason about. The examples double as a hands-on introduction to LLVM’s APIs without drowning you in infrastructure. As a result, the project is both a compact compiler course and a practical template for experimenting with language design in Haskell. -
Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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Human Speakable Programming Language
foundation of the General Intelligence Operating System
HSPL is Human Speakable Programming Language, allowing for communication between human-to-computer and human-to-human in the same language. This project has moved to http://sourceforge.net/p/spel We are currently working on human-to-computer programming-language with mostly English base vocabulary. Though once we have that, we plan to add support for other world Languages, including Chinese, Spanish, Russian, Arabic, Hindi, among others. Eventually HSPL shall be the...
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