jupyterlab-desktop
Nomad
jupyterlab-desktop | Nomad | |
---|---|---|
13 | 94 | |
3,369 | 14,422 | |
1.4% | 0.5% | |
9.5 | 9.9 | |
5 days ago | 6 days ago | |
TypeScript | Go | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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
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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.
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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
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Amazon CodeWhisperer with JupyterLab extension for Amazon SageMaker Studio - Part 4
How JupyterLab Desktop works
- Para dónde agarrar con Python?
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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
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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
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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?
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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:
Nomad
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IBM Planning to Acquire HashiCorp
I don't have any further insight, but looking at <https://github.com/hashicorp/nomad/forks?include=active&page...> coughed up https://github.com/atlassian/nomad/branches although confusingly it says "updated last week" but browsing any one of the branches seems to be stupid old so I got nothing
Finding conceptual forks, e.g. $(git push --mirror ...) would be trickier but I bet sourcegraph could do it
Ultimately, the question boils down to: what risk are you driving down: hitching your wagon to a dead stack, not getting security updates, not getting PRs merged, $other?
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Running Docker based web applications in Hashicorp Nomad with Traefik Load balancing
In previous post, we discussed creating a basic Nomad cluster in the Vultr cloud. Here, we will use the cluster created to deploy a load-balanced sample web app using the service discovery capability of Nomad and its native integration with the Traefik load balancer. The source code is available here for the reference.
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Building HashiCorp Nomad Cluster in Vultr Cloud using Terraform
Nomad is really awesome!
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K0s: Kubernetes distro as a single binary with zero host OS dependencies
I only heard of this today, but it looks really interesting. It seems to finally get Kubernetes a bit closer to something like https://www.nomadproject.io/ in terms of complexity to install and operate.
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Embracing Simplicity: The Advantages of Nomad over Kubernetes
In the rapidly evolving landscape of container orchestration and management, two prominent players have emerged: Kubernetes and HashiCorp's Nomad. While Kubernetes has gained widespread adoption and popularity, Nomad provides a compelling alternative that stands out for its simplicity and efficiency. In this blog post, we'll explore the advantages of using Nomad over Kubernetes and why it might be the right choice for certain use cases.
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HashiCorp Vault Forked into OpenBao
I can't discern how many are just those "dependabot" bumps but the 1400 forks show some are active https://github.com/hashicorp/nomad/forks?include=active&page... including CircleCI who I would think have a stake in a libre Nomad https://github.com/circleci/nomad/tree/circleci/release-1.5....
Now maybe their goals don't align with the community, and/or they don't want to be in the maintainer business for such a project, but better than nothing
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Remote execution of code
Could this be a solution? nomad
- Google Kubernetes Engine incident spanning 9 days
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Homebrew deprecate and add caveat for HashiCorp
It worth noting that Nomad UI(a official web admin panel) has log tailing utility built-in so maybe partial work has already been done. The developers may have other concerns.
The related issue is https://github.com/hashicorp/nomad/issues/10220
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HashiCorp Adopts Business Source License
While I do understand the reasoning in their FAQ on the subject (https://www.hashicorp.com/license-faq). I however failed to noticed those intentions in their license text (https://github.com/hashicorp/nomad/commit/b3e30b1dfa185d9437...).
Specifically the part in FAQ which says "internal production use is fine", but then license says that "non-production use only" and then "You may make production use of the Licensed Work, provided such use does not include offering the Licensed Work to third parties on a hosted or embedded basis which is competitive with HashiCorp's products.".
IANAL, but even to me this statement is full loopholes. WHO do we consider 3rd party? WHAT do we consider "hosted or embedded basis"? WHEN do we consider it "competitive with Hashicorps products"?
What are some alternatives?
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
k3s - Lightweight Kubernetes
jupyterlab-code-snippets - Save, reuse, and share code snippets using JupyterLab Code Snippets!
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
tslab - Interactive JavaScript and TypeScript programming with Jupyter
Dkron - Dkron - Distributed, fault tolerant job scheduling system https://dkron.io
desktop - Focus on what matters instead of fighting with Git.
Docker Compose - Define and run multi-container applications with Docker
jupyterlab-git - A Git extension for JupyterLab
dapr - Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
jupyterlab-interactive-dashboard-editor - A drag-and-drop dashboard editor for JupyterLab
podman - Podman: A tool for managing OCI containers and pods.