The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

A site that displays up to date COVID-19 stats, powered by fastpages.

A library for recording and reading data in notebooks.

A web frontend for scheduling Jupyter notebook reports

📝 Pytest plugin for testing notebooks

🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.

Cell-by-cell testing for production Jupyter notebooks in JupyterLab

A toolbox 🧰 for Jupyter notebooks 📙: testing, experiment tracking, debugging, profiling, and more!

Tools for developing pluvial (excess rainfall) and fluvial scenarios for probabilistic flood risk analyses

Learn to run & execute Jupyter Notebooks as a REST API in this series.

Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documentation site with more details and demo:

ETL to scrape a real estate website, process house prices and data, and build an ML model of the house prices.

Microservice to generate Jupyter reports combining papermill and nbconvert.

Jupyter Notebook Remote Scheduler for Argo on Kubernetes

Example project with a CNN to train a Pokémon type classifier.

A simple template for using MLflow from Papermill

Store,Version and Run jupyter notebook via ReST api

Collection of benchmarking code for cta

Have you seen the movie predator

A presentation on leveraging Jupyter Notebooks for automating large scale flood risk studies

This repo is for my Medium article: How to use Papermill in Google Colab.

Run and publish parameterised Jupyter notebooks using Faculty platform

Hello, Papermill~

Orchestrator to run Notebooks on Dataproc SERVERLESS via Cloud Composer

Howto use the automatation for jupyter notebook with papermill and external tasks connected to a process-engine.

Papermill to run Jupyter notebook with parameters for a scripted generation of HF EDI tower data graphs for visual inspection

Parametrization and Automated Report Generation using Papermill. Automatic generation of shareable HTML reports from excel files.

Use papermill from your command line without installing any dependency.

Creates a five-day temperature forecast for any group of cities. Forecasts are generated by parameterised jupyter notebooks that run in parallel.

Clustering Clients for Insiders Loyalty Program.