Ready-to-run Docker images containing Jupyter applications
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
An API Client package to access the APIs for NBA.com
Collection of google colaboratory notebooks for fast and easy experiments
A reactive Python kernel for Jupyter notebooks.
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.
Easy to use test framework for Jupyter Notebooks
A web frontend for scheduling Jupyter notebook reports
Project page for "The Debugging Book"
Inline data annotator for Jupyter notebooks
massively parallel experimentation with Jupyter and AWS Lambda 🐑🌩📒
Turn a Git repo into a collection of interactive notebooks. This is Binder's user documentation repository.
A Python and R autograding solution
Automated Quantum Mechanical Environments (AQME) offers transparent and reproducible workflows available for Jupyter Notebooks and command lines, including: 1) RDKit- and CREST-based conformer generation, 2) QM input file creation, 3) post-processing of QM output files, 4) generation of xTB, DFT and RDKit descriptors. https://aqme.readthedocs.io
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊
This repo covers Kubeflow Environment with LABs: Kubeflow GUI, Jupyter Notebooks on pods, Kubeflow Pipelines, Experiments, KALE, KATIB (AutoML: Hyperparameter Tuning), KFServe (Model Serving), Training Operators (Distributed Training), Projects, etc.
Algorithm animation engine for Python in Jupyter.
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