Jupyter SciPy Notebook LSP & Visual Python ext. for JupyterLab on Kubernetes clusters (Olares OS)
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Scientific JupyterHub notebook image for Kubernetes and Olares OS. Based on beclab/jupyter-scipy-notebook with NumPy, Pandas, SciPy, Matplotlib and Scikit‑learn. Extended with Visual Python JupyterLab widget and Python LSP server for IDE‑like development.
JupyterHub Scientific Computing Image with Visual Python & LSP for Olares OS This Docker image is built for JupyterHub deployments on Kubernetes and optimized for Olares OS. It is based on the official scientific computing stack docker.io/beclab/jupyter-scipy-notebook:notebook-7.0.6 and extends it with advanced developer productivity features.
The image includes a full-featured scientific Python environment with: *NumPy for numerical computing *Pandas for data manipulation and analysis *SciPy for scientific and technical computing *Matplotlib for visualization *Scikit-learn for machine learning This makes it well-suited for data science, research, and scientific workflows.
✅ Visual Python JupyterLab widget for visual, interactive code assistance
✅ JupyterLab Language Server Protocol (jupyterlab-lsp)
✅ Python Language Server (python-lsp-server) enabling:
intelligent autocompletion inline diagnostics code navigation and introspection
✅ Fully compatible with JupyterLab 4.x
IDE-like Python development experience directly in JupyterLab All UI extensions are preinstalled in the image (no runtime installs) Stable and reproducible behavior across user server restarts Designed for multi-user JupyterHub environments under Olares OS Intended Use
Scientific computing and data analysis notebooks Python development with enhanced editor capabilities JupyterHub deployments requiring persistent UI extensions on Kubernetes
Includes python-lsp-server and Visual Python Widget under their respective open-source licenses.
This Docker image is based on:
beclab/jupyter-scipy-notebook:notebook-7.0.6
Copyright © BeCLab
Licensed under the BSD 3-Clause License.
This image includes additional software components:
All additional components are distributed under their respective open-source licenses.
This Docker image is provided “as is”, without warranty of any kind. Use at your own risk.
The authors assume no responsibility for any damage or data loss resulting from the use of this image.
Content type
Image
Digest
sha256:63b588f1c…
Size
1.3 GB
Last updated
6 months ago
docker pull miodragsima/jupyter-scipy-lsp-visualpython:notebook-7.0.6