Search Results for "g-code"
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Showing 446 open source projects for "g-code"
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Code::Blocks
A free C, C++ and Fortran IDE
...Any kind of functionality can be added by installing/coding a plugin. For instance, compiling and debugging functionality is already provided by plugins! We hope you enjoy using Code::Blocks! The Code::Blocks Team -
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JADX
Dex to Java decompiler
...Smali debugger, check wiki page for setup and usage. View decompiled code with highlighted syntax. -
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ILSpy
.NET Decompiler with support for PDB generation, ReadyToRun, Metadata
...In Visual Studio 2019, you have to manually enable F12 support. Go to Tools / Options / Text Editor / C# / Advanced and check Enable navigation to decompiled source. C# for Visual Studio Code ships with decompilation support as well. To enable, activate the setting "Enable Decompilation Support. ILSpy is distributed under the MIT License. Please see the About doc for details, as well as third-party notices for included open-source libraries. Visual Studio 16.3 and later include a version of the .NET (Core) SDK that is managed by the Visual Studio installer - once you update, it may get upgraded too. ... -
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Cython
The most widely used Python to C compiler
Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. ... -
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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Numba
NumPy aware dynamic Python compiler using LLVM
Numba is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code. Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. -
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TypeScript
Application-scale JavaScript
...It adds optional static typing to JavaScript, which can support tools for large-scale JavaScript applications for any browser, host and OS. TypeScript compiles to clean, simple JavaScript, and uses existing JavaScript code and libraries. It also offers support for the latest and evolving JavaScript features, such as async functions and decorators. -
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roblox-ts
A TypeScript-to-Luau Compiler for Roblox
roblox-ts is an attempt to bridge the abilities of TypeScript to work in a Roblox environment. We break down your code into an abstract syntax tree and emit functionally similar structures in Luau so that the code behaves the same. -
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Lebab
Turn your ES5 code into readable ES6
...Transforms can be applied with relatively high confidence. They use pretty straightforward and strict rules for changing the code. The resulting code should be almost 100% equivalent to the original code. Transforms should be applied with caution. They either use heuristics that can't guarantee that the resulting code is equivalent of the original code, or they have significant bugs which can result in breaking your code. -
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GHDL
VHDL 2008/93/87 simulator
This directory contains the sources of GHDL, the open-source analyzer, compiler, simulator and (experimental) synthesizer for VHDL, a Hardware Description Language (HDL). GHDL is not an interpreter: it allows you to analyze and elaborate sources for generating machine code from your design. Native program execution is the only way for high-speed simulation. Full support for the 1987, 1993, 2002 versions of the IEEE 1076 VHDL standard, and partial for the 2008 and 2019 revisions. By using a code generator (LLVM, GCC or, x86_64/i386 only, a built-in one), it is much faster than any interpreted simulator. ... -
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Opal
Opal is a Ruby to JavaScript source-to-source compiler
...It is also built ready for the browser into opal-parser.js to allow compilation in any JavaScript environment. This directory holds the Opal runtime and corelib implemented in Ruby and JavaScript. opal-parser allows you to eval Ruby code directly from your HTML (and from Opal) files without needing any other building process. Opal.compile is a simple interface to just compile a string of Ruby into a string of JavaScript code. See the website for more detailed instructions and guides for Rails, jQuery, Sinatra, rack, CDN, etc. -
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SBCL
Mirror of Steel Bank Common Lisp (SBCL)'s repository
...It is open-source/free software, with a permissive license. In addition to the compiler and runtime system for ANSI Common Lisp, it provides an interactive environment including a debugger, a statistical profiler, a code coverage tool, and many other extensions. SBCL runs on Linux, various BSDs, macOS, Solaris, and Windows. See the download page for supported platforms, and the getting started guide for additional help. SBCL is available in source and binary form for a number of different architectures. SBCL is available in binary form for many architectures. ... -
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OCaml
The core OCaml system: compilers, runtime system, base libraries
...OCaml’s powerful type system means more bugs are caught at compile-time, and large, complex codebases are easier to maintain. This makes it a good language for running critical code. At the same time, sophisticated inference makes the type system unobtrusive, creating a smooth developer experience. OCaml has two compilers. One is a bytecode compiler that generates small, portable executables and is very fast. The other is a native code compiler that produces more efficient machine code; its performance matches the highest standards of modern compilers. ... -
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Rollup
A module bundler for JavaScript
...Rollup can be used either through a command line interface with an optional configuration file, or else through its JavaScript API. Rollup allows you to write your code using the new module system, and will then compile it back down to existing supported formats such as CommonJS modules, AMD modules, and IIFE-style scripts. This means that you get to write future-proof code. -
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Babel
The compiler for writing next generation JavaScript
Babel is a toolchain that helps you write code in the latest version of JavaScript. It converts ECMAScript 2015+ code into a backwards compatible version of JavaScript that can be run by older JavaScript engines. With Babel you can transform syntax, polyfill features that are missing in your target environment, transform source code and more! -
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Fable
F# to JavaScript compiler
Type inference provides robustness and correctness, but without the cost of additional code. Let the compiler catch bugs for you. Fable produces readable JavaScript code compatible with ES2015 standards and popular tooling like Webpack. Call JavaScript from Fable or Fable from JS. Use NPM packages. The entire JavaScript ecosystem is at your fingertips. Choose your favorite tool, from Visual Studio Code to JetBrains Rider. -
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Wire
Compile-time dependency injection for Go
Wire is a code generation tool that automates connecting components using dependency injection. Dependencies between components are represented in Wire as function parameters, encouraging explicit initialization instead of global variables. Because Wire operates without runtime state or reflection, code written to be used with Wire is useful even for hand-written initialization. -
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V Programming Language
Simple, fast, safe, compiled language for developing software
...You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V avoids doing unnecessary allocations in the first place by using value types, and string buffers, promoting a simple abstraction-free code style. ... -
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Codon
A high-performance, zero-overhead, extensible Python compiler
Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still. The Codon framework is fully modular and extensible, allowing for the seamless integration of new modules, compiler optimizations, domain-specific languages and so on. -
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Compiler.nvim
Neovim compiler for building and running your code
Neovim compiler for building and running your code without having to configure anything. -
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Hy
A dialect of Lisp that's embedded in Python
...As in other Lisps, the value of a simplistic syntax is that it facilitates Lisp’s signature feature, metaprogramming through macros, which are functions that manipulate code objects at compile-time to produce new code objects, which are then executed as if they had been part of the original code. -
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ispc
Intel SPMD Program Compiler
...Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on architectures with 4-wide vector SSE units and 5x-6x on architectures with 8-wide AVX vector units, without any of the difficulty of writing intrinsics code. Parallelization across multiple cores is also supported by ispc, making it possible to write programs that achieve performance improvement that scales by both numbers of cores and vector unit size. Build a small set of extensions to the C language that would deliver excellent performance to performance-oriented programmers. -
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LFortran
Official main repository for LFortran
LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute the user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile binaries with the goal of running the user’s code on modern architectures such as multi-core CPUs and GPUs. LFortran is in alpha (it is expected to not work on third-party codes and users enthusiastically participate in bug reporting and fixing). -
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Transcrypt
Python 3.7 to JavaScript compiler
Python in the browser, precompiled for speed. Transcrypt started out as a personal repo, owned by Jacques de Hooge. As the project caught on and the number of people contributing issues, ideas and code grew, the repo was transferred to the QQuick organization, to be able to form a developer team on GitHub. There's a simple parallel between the Python and the JavaScript code. In combination with the use of source maps, this enables efficient debugging. Also, code can be tested from the command prompt using stubs. Lightning-fast JavaScript 6 code: call caching, for-loop optimization, in-line JavaScript etc. ... -
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Protocol Buffers
Google's data interchange format
Protocol Buffers are Google’s fast and simple, language- and platform-neutral, extensible mechanism for serializing structured data. It allows you to define how your data should be structured once, and then using a special generated source code, you can then easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol Buffers currently supports a wide array of languages, including C++, Java, Python, Ruby, and many others with more to come. -
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KSP
Kotlin Symbol Processing API
KSP is Kotlin’s lightweight, idiomatic alternative to Java annotation processing that gives compile-time access to Kotlin program structure. Rather than forcing Kotlin through Java’s annotation APIs, it exposes Kotlin-first symbols—classes, functions, properties, types—so processors can generate code efficiently. The design dramatically reduces incremental build overhead by operating directly on symbols without compiling stubs, which speeds up large multi-module projects. Processors run as Gradle plugins, participate in incremental builds, and can target common use cases like DI bindings, JSON adapters, or UI glue code. Because the API reflects Kotlin semantics (nullability, visibility, type aliases, etc.), generated code aligns cleanly with Kotlin style and tooling.