xeus-cling
Jupyter kernel for the C++ programming language (by jupyter-xeus)
evcxr
By evcxr
| xeus-cling | evcxr | |
|---|---|---|
| 15 | 75 | |
| 2,953 | 5,207 | |
| 0.9% | 1.4% | |
| 4.6 | 8.6 | |
| 17 days ago | 15 days ago | |
| C++ | Rust | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
xeus-cling
Posts with mentions or reviews of xeus-cling.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-27.
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Interactive GCC (igcc) is a read-eval-print loop (REPL) for C/C++
More recent activity, but based on clang: https://github.com/jupyter-xeus/xeus-cling https://github.com/root-project/cling
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TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
If you like interactive c/c++, how a look at https://github.com/jupyter-xeus/xeus-cling, that allow you to run the c/c++ repl in Jupyter, either in web interface, and terminal interfaces.
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IDE for CPP(leetcode)
There are Cpp intepreters like Cling. There are even cpp notebooks like https://github.com/jupyter-xeus/xeus-cling. If that's an "IDE" it's questionable
- How does 3[a] gives the element at index 3 in an array?
- For those defending Python and citing Jupyter notebook scripting as the reason
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Why tho?
Holy shit, its actually a thing for C++ https://github.com/jupyter-xeus/xeus-cling. Now if only there was a C version...
- Changing std:sort at Google’s Scale and Beyond
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Jupyter refuses C++
Links I tried and failed:https://github.com/jupyter-xeus/xeus-cling
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How to write multiple programs in one c file? (like we can do for python files in jupyter notebook )
Are you talking about interpreted C++? Xeus-cling is your friend (i.e., C++ interpreter).
- Turns Jupyter notebooks into standalone web applications and dashboards
evcxr
Posts with mentions or reviews of evcxr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-06.
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Scriptisto: "Shebang interpreter" that enables writing scripts in compiled langs
Emacs didn't invent REPL, and it's common everywhere. For Rust: https://github.com/evcxr/evcxr/blob/main/evcxr_repl/README.m.... But heck, the compiler is reasonably fast enough that any IDE can REPL by compiling the code.
The value here is more in being able to read a script before you run it, then have it run fast, maybe tweaking something here and there. And a compiled script will run 10,000 times faster than LISP, which can be important.
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Go: What We Got Right, What We Got Wrong
https://github.com/evcxr/evcxr can run Rust in a Jupyter notebook. It's not Golang but close enough.
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The Hallucinated Rows Incident
The engine uses rust_decimal::Decimal to represent high precision decimal numbers, like the weight property. Serialization of RocksDB keys is done by the storekey crate. To know how Yumi's machine stores diffs, we can now ask- How does storekey serialize rust_decimal? Well, using evcxr to run Rust in Jupyter, the answer is as a null-terminated string:
- TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
- Exploring Options for Dynamic Code Changes in Rust without Recompilation (hot reloading)
- Go 1.21 will (likely) have a static toolchain on Linux
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What’s an actual use case for Rust
In theory you should be able to create Rust notebooks (Jupyter notebook) using evcxr so maybe some AI, data analysis, prototyping make sense if you aim for good performance in final application (protype in evcxr and use notebook as reference to implement final application in Rust for speed and safety).
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would you use rust for scripting?
You should check out evcxr
- Nannou – An open-source creative-coding framework for Rust
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Rust vs. Haskell
There is also implementations of rust REPLs, like the beautifully named evcxr.
What are some alternatives?
When comparing xeus-cling and evcxr you can also consider the following projects:
pybind11 - Seamless operability between C++11 and Python
vscode-jupyter - VS Code Jupyter extension
jupyterlite - Wasm powered Jupyter running in the browser 💡
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
cling - The cling C++ interpreter
jupyter-rust - a docker container for jupyter notebooks for rust
examples - Fully-working mlpack example programs
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
Pluto.jl - 🎈 Simple reactive notebooks for Julia
bincode - A binary encoder / decoder implementation in Rust.
sanitizers - AddressSanitizer, ThreadSanitizer, MemorySanitizer
cargo-script - Cargo script subcommand