papermill

#计算机科学#The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

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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.

Profiles the data, validates the schema and runs data quality checks and produces a report

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:

Microservice to generate Jupyter reports combining papermill and nbconvert.

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

Jupyter Notebook Remote Scheduler for Argo on Kubernetes

#计算机科学#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

Neural style transfer bot for Telegram implemented with Ray Serve, Papermill and AIOGram

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