Jupyter Collaboration Has a History Slider

Posted3 months agoActive2 months ago

fghorow

57 points

16 comments

blog.jupyter.orgTechstory

supportivepositive

Debate

10/100

JupyterCollaborationData AnalysisCrdt

Key topics

Jupyter

Collaboration

Data Analysis

Crdt

The Jupyter team has introduced a history slider feature for JupyterLab, enhancing collaboration and version control, which has been well-received by the community for addressing long-standing pain points.

Snapshot generated from the HN discussion

Discussion Activity

Moderate engagement

First comment

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Peak period

156-168h

Avg / period

3.2

Comment distribution16 data points

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Based on 16 loaded comments

Key moments

01Story posted
Oct 12, 2025 at 8:50 PM EDT
3 months ago
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02First comment
Oct 12, 2025 at 8:50 PM EDT
0s after posting
Step 02
03Peak activity
8 comments in 156-168h
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04Latest activity
Oct 20, 2025 at 11:47 AM EDT
2 months ago
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Discussion (16 comments)

Showing 16 comments

shevy-java

3 months ago

3 replies

Jupyter is really dominating now at university campus sites. I see it used for almost every course (at the least those that require data analysis via python).

Almondsetat

3 months ago

2 replies

And rightfully so. It's an interactive programming environment with embedded explanations. Between markdown and latex, you can write an entire class inside it. It's perfect for live demostrations and homework. Bloated as hell? Sure, but a huge step in education IMHO

jcgl

3 months ago

Like a more specialized, accessible, and graphical Org mode.

reubenmorais

3 months ago

Maybe rather an interactive explanation and exploration environment with embedded programming?

heresie-dabord

3 months ago

1 reply

> it integrates seamlessly with JupyterCAD, JupyterLab’s extension for creating and manipulating 3D models.

Today I learned... Jupyter has an extension for 3d modelling.

Can anyone comment on this extension?

https://github.com/jupytercad/JupyterCAD

doubleg72

3 months ago

Wow that is very interesting, I cannot comment but im definitely going to be checking it out today.

plipt

3 months ago

3 replies

I haven’t used Jupyter in a few years. Wondering what is the current standard practice of starting a new Jupyter project.

Do users typically have one system-wide Jupyter install that gets reused for each data analysis project that then have their own dependencies in a virtual environment that Jupyter activates?

Or is Jupyter installed inside each project’s virtual environment?

epistasis

3 months ago

1 reply

Typically one Jupyter install system wide, and then multiple kernels with each environment.

Personally, I really like the juv model where dependencies are taken from the first cell of the notebook and a new kernel is created to launch the interface, but I haven't seen others using it much yet:

https://github.com/manzt/juv

heisenzombie

2 months ago

1 reply

The idea is good, but juv is a one-jupyter-per-notebook model which isn't very practical for how my team uses jupyter. My attempt at "juv, but systemwide-jupyter-plus-one-kernel-per-notebook model" is this: https://github.com/tobinjones/uvkernel

epistasis

2 months ago

Very nice, thanks for sharing!

porridgeraisin

3 months ago

ipykernel (jupyter basically) is installed in the virtual environment itself, especially since sometimes different envs are different python versions.

morkalork

3 months ago

I'm definitely guilty of This system-wide install but I've noticed people doing per-project installs more often now and I'm trying to get in the habit.

bicepjai

2 months ago

1 reply

Off topic: Tried to open the link and there seems to be Medium global outage. Have not seen that before.

cnees

2 months ago

Probably related to today's massive AWS outage

fghorowAuthor

3 months ago

This Jupyter (CRDT-based) extension appears to solve the BIGGEST HEADACHE I personally have with Jupyter(lab). Jupyter notebooks allow me to hack code/parameters too fluently, and I can't recover earlier positions in code/parameter space that produced interesting results.

Jupytext and git goes some way towards fixing that, but I don't save to git after every cut/paste of a parameter. This extension is effortless.

As a bonus, the extension appears to allow SubEthaEdit/GoogleDocs style collaboration too. (I haven't personally used that yet.)

Check it out.

cnees

3 months ago

Both collaboration and history are killer features. I'm going to have to try this out at work!

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ID: 45563589Type: storyLast synced: 11/20/2025, 1:20:52 PM

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