GNU Compiler Collection
clang
LLVM
Tiny C Compiler
VS Code
MinGW
Cygwin
QBE
marimo
Observable
Hyperquery
Zerve AI
PythonSandbox
DataLab
Quadratic
Colab Notebooks
GNU Compiler CollectionNo features have been listed yet.
Based on our record, GNU Compiler Collection should be more popular than marimo. It has been mentiond 44 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If youโre using gcc or clang, you can use the weak attribute; if youโre using MSVC, youโre out of luck since no equivalent attribute exists. - Source: dev.to / 8 months ago
Part of the gcc compiler tools is gcov, the GNU code coverage tool. This can be integrated into your build to provide code coverage reports. - Source: dev.to / 9 months ago
Prior to C23 or C++11, the only way to attach attributes was using compiler-specific syntax such as __attribute__ for gcc and clang, or __declspec for MSVC. - Source: dev.to / about 1 year ago
I want to compile C program for various operating systems from one machine, that's why on macOS M1 I use zig drop-in replacement compiler (can be used on Linux, Windows too) for cross-platform compilation. There are also clang, gcc (usually pre-installed on macOS and Linux). For Windows there are Visual Studio installer or mingw (which installs gcc). - Source: dev.to / over 1 year ago
If you are turning your source code into languages such as C or C++, it is required to have great understanding and knowledge of C/C++. Since these languages also have compilers be it GNU Compiler Collection or Clang, we have to do a lot of digging and researching around their features and functionalities. There is a lot of benefit in that once the target codebase grows and developers start reusing the target... - Source: dev.to / over 1 year ago
Pluto is great. I use it all the time. If you like the reactivity/reproducibility but are wedded to Python, you might want to check out Marimo, which is also great. [https://marimo.io/] It too puts the output of a cell above the code so if you're unable to adapt to things that are different it's also probably not for you. FWIW, Observable's Notebooks (Javascript) work the same way: output above the code... - Source: Hacker News / 2 months ago
Marimo notebooks give you the best of both worlds (https://marimo.io). - Source: Hacker News / 4 months ago
Agree with the author, will add: duckdb is an extremely compelling choice if youโre a developer and want to embed analytics in your app (which can also run in a web browser with wasm!) Think this opens up a lot of interesting possibilities like more powerful analytics notebooks like marimo (https://marimo.io/) โฆ and thatโs just one example of many. - Source: Hacker News / 7 months ago
The training pipeline uses Marimo notebooks (think Jupyter, but reactive). Models are quantized to uint8 and served via CDN. Total bundle for a predictor: up-to 2MB. - Source: dev.to / 8 months ago
Marimo is a Jupyter notebook with each cell being somewhat logically connected to each other. That's way if you update the value of a variable in a cell and re-run it, related values in other cells will be auto-updated and auto-run. This is called reactive execution. Thus the notebook can act as a single python script or app and has an extension of .py instead of .ipynb. - Source: dev.to / 9 months ago
clang - C, C++, Objective C and Objective C++ front-end for the LLVM compiler.
Observable - Interactive code examples/posts
LLVM - LLVM is a compiler infrastructure designed for compile-time, link-time, run-time, and...
Hyperquery - Data notebook built for speed, visibility, and collaboration
Tiny C Compiler - The Tiny C Compiler is an x86, x86-64 and ARM processor C compiler created by Fabrice Bellard.
Zerve AI - What if Jupyter + Figma + VSCode had a baby?