jupyterlab-desktop
covalent
jupyterlab-desktop | covalent | |
---|---|---|
13 | 4 | |
3,369 | 692 | |
1.4% | 2.0% | |
9.5 | 8.6 | |
4 days ago | 2 days ago | |
TypeScript | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
jupyterlab-desktop
-
RStudio: Integrated development environment (IDE) for R
An alternative in the Python world that is definitely worth looking into is the JupyterLab Desktop app, which is a standalone installer that is cross-platform and works great for beginners (no command line needed): https://github.com/jupyterlab/jupyterlab-desktop?tab=readme-...
See my other comment in the main thread with more info.
-
Remote execution of code
JupyterLab Desktop supports remote server connections out of the box (you just install one locally and a plain JupyterLab on the server using pip).
- Jupyterlab/jupyterlab-desktop: JupyterLab desktop application, based on Electron
-
Amazon CodeWhisperer with JupyterLab extension for Amazon SageMaker Studio - Part 4
How JupyterLab Desktop works
- Para dónde agarrar con Python?
-
what's a good IDE which also has python notebook
Although jupyter notebooks work fine in VSCode you could also try jupyter desktop: https://github.com/jupyterlab/jupyterlab-desktop
-
Easiest way to run Jupyter Notebooks?
You might be interested in https://jupyterlite.readthedocs.io/en/latest/ and https://github.com/jupyterlab/jupyterlab-desktop too
-
Confusion about python and secretarial job?
Learning syntax of a new language is trivial, but also not very useful if you haven't learned programming in general. Learning programming is a lifelong process, you are never done with it. It's just a different way of thinking and problemsolving and there will always be problems that are just beyond you, its kind of like math or physics this way. But problems aren't unsolvable for you because you lack language, but because the problem is simply harder than what you can wrap your head around, or larger in scope than what you with limited time can pull off. But, knowing a little bit of programming and little bit of python can be a powerful thing in many jobs. Depends on which problems you need to solve of course. Get JupyterLab for desktop to play around with, it's probably worth your time. https://github.com/jupyterlab/jupyterlab-desktop
- A personal blog with articles&videos, which tech stack do you recommend?
-
I can't find the jlab executable Jupyter Desktop for the command line (MacOS)
I am on the MacOS, and I would like to access the jlab executable like this webpage describes:
covalent
-
Remote execution of code
Pretty interesting request, if SSH is not used, i would try using something like dask which uses tcp to connect and execute assuming your workers are in another machine.I also think something like covalent can be used to extend your own custom plugin in their ecosystem to connect how you want. We have a very custom private plugin written on top of covalent's to have a custom protocol to connect our central on-prem GPU machines to our local laptops that is rpc based, mostly for high performance as well as some mandate security from where the GPU machines are. Once done it is pretty much something like
-
Prefect alternatives meant for Slurm (HPC)
Does anyone here have any suggestions of alternatives tailored for Slurm on HPC? I know Covalent is one option, but I'm curious about others as well. Ideally the platform should be Pythonic, have a GUI, and be reasonably active/well-maintained.
- Show HN: Covalent – distributed computing for ML, HPC and Quantum (open source)
-
Your strategies for offloading computation
Came across this new tool exactly for this - https://github.com/AgnostiqHQ/covalent
What are some alternatives?
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
SmartSim - SmartSim Infrastructure Library.
jupyterlab-code-snippets - Save, reuse, and share code snippets using JupyterLab Code Snippets!
kestra - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
tslab - Interactive JavaScript and TypeScript programming with Jupyter
cadence-python - Python framework for Cadence Workflow Service
desktop - Focus on what matters instead of fighting with Git.
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
jupyterlab-git - A Git extension for JupyterLab
dagster - An orchestration platform for the development, production, and observation of data assets.
jupyterlab-interactive-dashboard-editor - A drag-and-drop dashboard editor for JupyterLab
bytehub - ByteHub: making feature stores simple