Closed fperez closed 2 years ago
Great @eliaswimmer! Is is going to be a port of nbgrader, or something new?
It's nbgrader/nbconvert based and works well with Kubernetes. Autograding tasks can be spawned in Kubernetes pods. It's using git for managing the assignments, allows group exercises etc.
There are already several extensions working for JupyterLab from @Lawrence37 and @aalmanza1998 contribution in https://github.com/LibreTexts/nbgrader-to-jupyterlab/tree/lab-common. These extensions are able to query the existing server extensions, if we fix #1465. The formgrader extension remains to be done for now, but could be ported (for a first version) by integrating the existing one in a JupyterLab tab.
We are working on a new grader service for JupyterHub/Jupyterlab, I hope we will soon be able to publish it.
Any updates on this?
https://github.com/TU-Wien-dataLAB/Grader-Service This is still mainly untested, I hope we will be able to use our new service for the winter term. Testing and contribution welcome!
Hi all, as of #1588 JupyterLab is now officially supported! Please test it out, and if you run into any problems open some issues---the plan is to iterate a bit on main
before releasing 0.8.0 which will be the official release supporting JupyterLab.
Congrats Jessica, very good news indeed. I am looking forward to test it in my school. Thanks for your hard work and to all contributors.
Don't thank me---all the hard work was done by @brichet, @fcollonval, @lxylxy123456, @Lawrence37, and @aalmanza1998 ! I just reviewed the PR 😉
Don't thank me---all the hard work was done by @brichet, @fcollonval, @lxylxy123456, @Lawrence37, and @aalmanza1998 ! I just reviewed the PR 😉
Thanks for the clarification !
Then lots of thanks and big congratulations to @brichet, @fcollonval, @lxylxy123456, @Lawrence37, and @aalmanza1998
Today is a happy day !!
Indeed, huge thanks to all the team who made this possible (@jhamrick very much included 😄) - it's fantastic to see key tools like nbgrader move forward to the JupyterLab-based infrastructure, which will bring us a number of benefits.
It would be great to have input once a release is made on how the real-world experience of regular users is, in case there are any rough edges that warrant attention; we want the transition to be a happy process for all involved!
@jhamrick this is great news! Do you have a prediction of when the 0.8 release will be? We are starting on a project of updating our environments and would love to use JupyterLab if possible, but that will depend on the timing
Hi all, as of #1588 JupyterLab is now officially supported! Please test it out, and if you run into any problems open some issues---the plan is to iterate a bit on
main
before releasing 0.8.0 which will be the official release supporting JupyterLab.
I have tried taking the pull from a commit but unable to integrate it. Can you guide on how to port nbgrader extension to jupyterlab
The simplest way may be to install it from the prerelease : pip install --pre nbgrader
.
You should install it in a fresh environment, some dependencies are not compatible with the notebook version.
You can find some information about settings here... except for the installation command where the --pre
argument is missing.
@hoffm386 as @brichet mentioned there is a pre-release out already, so you could consider using that! In terms of the full release, I'm not sure. I think once there's been "sufficient" testing we can convert it to a full release, but I am not sure if we're at that point yet, or if there's anything else pressing that needs to get done first. Perhaps @brichet and @jtpio could comment on the status?
We are currently working on making it compatible with the future versions of Jupyterlab (4) and Notebook (7). I don't know if we should wait for the release of these projects (and I don't know when it will be, maybe @jtpio knows more about it).
The two options I see are :
jupyterlab 4
and notebook 7
before releasing nbgrader 8
.nbgrader 8
as compatible with notebook < 7
and jupyterlab < 4
, and start a version 9 for the compatibility with jupyterlab 4
and notebook 7
.If it's unclear what the timeline is for jupyterlab 4 and notebook 7, releasing nbgrader 8 now seems like a good option to me. That'll also get a wider range of people starting to use the jupyterlab extensions allowing us to battle-test them more.
The best estimate for now would be a JupyterLab 4.0 beta some time in September. Since it is based on JupyterLab, Notebook v7 will be updated a couple of days after each JupyterLab release. After that it'll probably be a couple of weeks more (at least 2 weeks beta, 2 weeks rc) before the final release.
If we're happy with the current state of main
we could indeed proceed with the nbgrader 8 final release.
releasing
nbgrader 8
as compatible withnotebook < 7
andjupyterlab < 4
, and start a version 9 for the compatibility withjupyterlab 4
andnotebook 7
.
From the peanut gallery: given that it may take people a while to migrate to jlab 4 even after it is released (for many probably not until next academic year?), and some may want to stay on notebook 6 for a while, I think it makes a lot of sense to release for jlab 3 and notebook 6 if possible.
I'm happy then to do the full release now, if you'd like to go ahead with it @brichet !
Version v0.8.0
is released : https://github.com/jupyter/nbgrader/releases/tag/v0.8.0.
Version
v0.8.0
is released : https://github.com/jupyter/nbgrader/releases/tag/v0.8.0.
Any chance we'll see this on conda? It currently still lists 0.7.1, and I'd like to test it thoroughly before the academic year starts :-D
Any chance we'll see this on conda? It currently still lists 0.7.1, and I'd like to test it thoroughly before the academic year starts :-D
Looks like there is a draft PR to update to 0.8.0: https://github.com/conda-forge/nbgrader-feedstock/pull/56
Good new, nbgrader v0.8.1
is available on conda, thanks to @blink1073.
This is so we can discuss whether this is the right path to follow for nbgrader, I'm not 100% sure yet but at least we can come to a decision here...
We're still using nbgrader at Cal quite a bit, and as I consider moving the students more to JupyterLab as their "daily driver", the absence of the student-facing extension for submitting notebooks is becoming a more relevant issue.
Curious what @jhamrick @ellisonbg think in this context - how realistic would it be to put some cycles into porting the extension? This is more of an nbgrader than a Lab issue, but it's turning out to be kind of a blocker to our use of Lab by default (which I really want to do :).
CC @jasongrout @ian-r-rose as per recent discussions on blockers and extensions...