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jupyter-xeus
xeus-cling
C++2017–2026
jupyter-xeus / xeus-cling

xeus-cling

Jupyter kernel for the C++ programming language

Systems & InfrastructureLanguages & Compilers
Explore on GitHubRead Hacker News discussions
10Distinct people
17Mentions
0Explicit recommenders
3.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Jupyter kernel for the C++ programming language

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year17 dated mentions

Observed mentions: 2017-08-11 00:23:48 UTC to 2026-08-20 08:59:09 UTC.

012342017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC404
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC303
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

17 sources
pjmlp·Aug 20, 2026
Mostly because many on that camp are averse to nice tooling, like REPLs, JITs, or incremental compilation. They do exist, but again, not really loved enough. https://clang.llvm.org/docs/ClangRepl.html https://github.com/jupyter-xeus/xeus-cling https://root.cern/cling Additionally, while in the past there are been nice high level libraries for C++, which is where Java took its inspiration from in first place[0], current culture seems to hate having such frameworks around, and they are mostly gone nowadays. [0] - It isn't writing Java in C++, rather how C++ inspired by Smalltalk used to look like, 1983 - 2000's, before Java got released in 1996.
In MicroGPT-C in pure C hits 10M TPS on Apple M5
westurner·Sep 28, 2023
Xeus-cling is a Jupyter Kernel for C/C++: https://github.com/jupyter-xeus/xeus-cling#a-c-notebook With the xeus-cling Jupyter Kernel for C/C++, variable redefinitions in subsequent notebook input cells do not raise a compiler warning or error. There's JsRoot, which may already work with JupyterLite in WASM in a browser tab? There's a ROOT kernel for Jupyter, too: https://github.com/root-project/root/tree/master/bindings/ju... Instead of the ROOT Jupyter Kernel, you can just call into ROOT from Python with PyRoot (from a notebook that specifies e.g. ipykernel, xeus-python, or pyodide Jupyter kernels). "ROOT has its Jupyter Kernel!" (2015) https://root.cern/blog/root-has-its-jupyter-kernel/ IDK if there are Apache Arrow bindings for ROOT?; though there certainly are for C/C++, Python, and other languages You must install jupyter_console to
Read the rest
use Jupyter kernels from the CLI like IPython with ipykernel. In addition to IPython/Jupyter notebook, jupyterlab, vscode, and vscode.dev+devpod; awesome-cpp#debug: https://github.com/fffaraz/awesome-cpp#debug "Debugging a Mixed Python and C Language Stack" (2023) https://news.ycombinator.com/item?id=35710350 ROOT: https://en.wikipedia.org/wiki/ROOT "Root: CERN's scientific data analysis framework for C++" (2019) because if PyRoot to C++ https://news.ycombinator.com/item?id=20691614 : `conda install -c conda-forge -y root jupyterlab jupyter_console xeus-cling jupyterlite` SymPy's lambdify() doesn't support ROOT but does support many other ML and NN frameworks; From "Stem formulas" (2023) https://news.ycombinator.com/item?id=36839748 : > sympy.utilities.lambdify.lambdify() https://github.com/sympy/sympy/blob/a76b02fcd3a8b7f79b3a88df... : >> """Convert a SymPy expression into a function that allows for fast numeric evaluation [e.g. the CPython math module, mpmath, NumPy, SciPy, CuPy, JAX, TensorFlow, SymPy, numexpr,]
In Interactive GCC (igcc) is a read-eval-print loop (REPL) for C/C++
westurner·Jan 27, 2021
Here's the xeus-cling (Jupyter C++ Kernel) source: https://github.com/jupyter-xeus/xeus-cling/tree/master/src Do any of the other non-Python Jupyter kernels have examples of working fancy UI components? https://github.com/jupyter/jupyter/wiki/Jupyter-kernels Jupyter kernels implement the Jupyter kernel message spec. Introspection, Completion: https://jupyter-client.readthedocs.io/en/latest/messaging.ht... Debugging (w/ DAP: Debug Adapter Protocol) https://jupyter-client.readthedocs.io/en/latest/messaging.ht... A `display_data` Jupyter kernel message includes a `data` key with a dict value: "The data dict contains key/value pairs, where the keys are MIME types and the values are the raw data of the representation in that format." https://jupyter-client.readthedocs.io/en/latest/messaging.ht... This looks like it does something with MI
Read the rest
ME bundles: https://github.com/jupyter-xeus/xeus-cling/blob/00b1fa69d17b... ipython.display: https://github.com/ipython/ipython/blob/master/IPython/displ... ipython.core.display: https://github.com/ipython/ipython/blob/master/IPython/core/... ipython.lib.display: https://github.com/ipython/ipython/blob/master/IPython/lib/d... You can also run Jupyter kernels in a shell with jupyter/jupyter_console: pip install jupyter-console jupyter-client jupyter kernelspec list jupyter console --kernel python3
In Evcxr: A Rust REPL and Jupyter Kernel
westurner·Dec 25, 2019
The GNU/Linux kernel, FreeBSD kernel, Windows kernel, MacOS kernel, Python, Ruby, Perl, PHP, NodeJS, and NumPy are all written in C. If you want to review and contribute code, you'd need to learn C. There are a number of coding guidelines e.g. for safety-critical systems where bounded running time and resource consumption are essential. These coding guidelines and standards are basically only available for C, C++, and Ada. https://github.com/stanislaw/awesome-safety-critical/blob/ma... Even though modern languages have garbage-collection that runs whenever it feels like it, It's helpful to learn about memory management in C (or C++). You'll appreciate object destructor methods that free memory and sockets and file handles that much more. Reference cycles in object graphs are easier to handle with modern C++ than with C. Are there RAII (Re
Read the rest
source Acquisition is Initialization) "smart pointers" that track reference counts in C? Without OO namespacing, in C, function names are often prefixed with namespaces. How many ways could a struct be initialized? When can I free that memory? When strace prints a syscall, what is that? Is it necessary to learn C? Somebody needs to maintain and improve the C-based foundation for most of our OSs and very many of our fancy scripting languages. C can be very unforgiving: it's really easy to do it wrong, and there's a lot to keep in mind at once: the cognitive burden is higher with C (and then still with ASM and WebASM) than with an interpreted (or compiled) duck-typed 3GL scripting language with first-class functions. What's a good progression that includes syntax, finding and reading the libc docs, Make/CMake/Autotools, secure recommended compiler flags for GCC (CPPFLAGS, CFLAGS, LDFLAGS) and LLVM Clang? C: https://learnxinyminutes.com/docs/c/ C++: https://learnxinyminutes.com/docs/c++/ Links to the docs for Libc and other tools: https://westurner.github.io/tools/#libc xeus-cling is a Jupyter kernel for C++ (and most of C) that works with nbgrader. https://github.com/QuantStack/xeus-cling What's a better unit-testing library for C/C++ than gtest? https://github.com/google/googletest/
In Ask HN: Is it worth it to learn C in 2020?

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