eaf-jupyter
Jupyter client (by emacs-eaf)
docker-stacks
Ready-to-run Docker images containing Jupyter applications (by jupyter)
eaf-jupyter | docker-stacks | |
---|---|---|
2 | 13 | |
15 | 7,762 | |
- | 0.5% | |
3.5 | 9.5 | |
10 months ago | 1 day ago | |
Python | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
eaf-jupyter
Posts with mentions or reviews of eaf-jupyter.
We have used some of these posts to build our list of alternatives
and similar projects.
- eaf-jupyter: Jupyter in Emacs
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Is there a way to get CAS functionality within Emacs Calc? If not, what CAS for emacs do you recommend?
Jupyter integration also works quite well, using either Emacs Application Framework (EAF): https://github.com/emacs-eaf/eaf-jupyter
docker-stacks
Posts with mentions or reviews of docker-stacks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-21.
-
Linux or Windows for coding??
See https://github.com/jupyter/docker-stacks
-
Connecting IPython notebook to spark master running in different machines
I have an IPython notebook running in a docker container in Google Container Engine, the container is based on this image jupyter/all-spark-notebook
- Looking for a solution to sandbox python remotely.
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A short tutorial on running Spark with Jupyter using Docker
Yes sir :) love the jupyter docker stacks: https://github.com/jupyter/docker-stacks
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(RANT) I think I'll die trying to setup and run Spark with Python in my local environment
I use an image that allows me to run spark on jupyter notebooks and use files from my local machine to test code. Here is a good one https://github.com/jupyter/docker-stacks/tree/main/pyspark-notebook
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How we made Jupyter Docker Stacks multi-arch
Today I will tell you a story behind making Jupyter Docker Stacks able to build aarch64 images without many (almost any) compromises. If you want to read how it is implemented now, you can skip to the last section of this post.
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3.51 GB Bloated Image for Coqui TTS Server
FROM ubuntu:20.04 LABEL maintainer="PhysicsReplicatorAI " ARG NB_USER="coqui_user" \ NB_UID="1000" \ NB_GID="100" USER root ENV DEBIAN_FRONTEND=noninteractive \ TERM=xterm \ TZ=America/New_York # -------------------------------------------------------------------------------- # Update/Install the basics # -------------------------------------------------------------------------------- RUN apt-get update -y && \ apt-get install -y --no-install-recommends \ sudo locales apt-utils g++ libsndfile1-dev && \ apt-get -y clean autoclean && \ apt-get -y autoremove --purge && \ echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \ locale-gen # -------------------------------------------------------------------------------- # Configure environment # -------------------------------------------------------------------------------- ENV SHELL=/bin/bash \ NB_USER="${NB_USER}" \ NB_UID=${NB_UID} \ NB_GID=${NB_GID} \ LC_ALL=en_US.UTF-8 \ LANG=en_US.UTF-8 \ LANGUAGE=en_US.UTF-8 \ PATH="/home/${NB_USER}/.local/bin:${PATH}" \ HOME="/home/${NB_USER}" # -------------------------------------------------------------------------------- # Create coqui_user # User creation method/pattern obtained from: # https://github.com/jupyter/docker-stacks/blob/master/base-notebook/Dockerfile # -------------------------------------------------------------------------------- COPY fix-permissions /usr/local/bin/fix-permissions RUN chmod a+rx /usr/local/bin/fix-permissions && \ sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /etc/skel/.bashrc && \ echo "auth requisite pam_deny.so" >> /etc/pam.d/su && \ sed -i.bak -e 's/^%admin/#%admin/' /etc/sudoers && \ sed -i.bak -e 's/^%sudo/#%sudo/' /etc/sudoers && \ useradd -l -m -s /bin/bash -N -u "${NB_UID}" "${NB_USER}" && \ chmod g+w /etc/passwd && \ fix-permissions "${HOME}" && \ cd "${HOME}" && \ apt-get install -y --no-install-recommends python3-dev python3-pip && \ apt-get -y autoclean && \ apt-get -y autoremove --purge && \ apt-get -y purge $(dpkg --get-selections | grep deinstall | sed s/deinstall//g) && \ rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* # -------------------------------------------------------------------------------- # Install TTS # -------------------------------------------------------------------------------- USER ${NB_UID} RUN fix-permissions "${HOME}" && \ python3 -m pip install --no-cache-dir --upgrade TTS && \ rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* EXPOSE 5002 ENTRYPOINT ["tts-server"]
- New to dockerfiles and was wondering if somebody can help with user switching?
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How do I create a Docker image building on another image?
Pretty much what title says. I want to build an image on top of the scy-py image with my preferred libraries such as NLTK, spaCy and stanza. Is there a way to do that?
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Docker + Python Environment Management
The disadvantages are that everytime I rebuild the entire docker image I have to pray that all the dependencies that I did not list did not change, because if they did, the build fails with a cryptic error message. Also if the list of pip installs gets too long, pip is no longer able to resolve all the dependencies and then the docker image does not build either. So actually not having a requirements.txt might be a disadvantage. Further, I do not like the fact that I have both Miniconda and "regular Python" in one file. This happened, because this Dockerfile evolved from one of the Jupyter Notebook Dockerfiles. My development environment is Jupyter and I wanted my production environment as close as possible to my development environment.
What are some alternatives?
When comparing eaf-jupyter and docker-stacks you can also consider the following projects:
eaf-rss-reader - RSS Reader in Emacs
the-littlest-jupyterhub - Simple JupyterHub distribution for 1-100 users on a single server
papermill - 📚 Parameterize, execute, and analyze notebooks
nbgrader - A system for assigning and grading notebooks
oauth2ms
nbmake - 📝 Pytest plugin for testing notebooks
dash - Data Apps & Dashboards for Python. No JavaScript Required.
pangeo-binder - Pangeo + Binder (dev repo for a binder/pangeo fusion concept)
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
zero-to-jupyterhub-k8s - Helm Chart & Documentation for deploying JupyterHub on Kubernetes
pretty-jupyter - Creates dynamic html report from jupyter notebook.
crystal_kernel - Python wrapper kernel for Crystal
eaf-jupyter vs eaf-rss-reader
docker-stacks vs the-littlest-jupyterhub
eaf-jupyter vs papermill
docker-stacks vs nbgrader
eaf-jupyter vs oauth2ms
docker-stacks vs nbmake
eaf-jupyter vs dash
docker-stacks vs pangeo-binder
eaf-jupyter vs polyaxon
docker-stacks vs zero-to-jupyterhub-k8s
docker-stacks vs pretty-jupyter
docker-stacks vs crystal_kernel