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Papermill Python Packages

Python packages with the GitHub topic papermill. Sorted by monthly downloads, with stars and forks.
nteract
scrapbook

A library for recording and reading data in notebooks.

634K 291 25
treebeardtech
nbmake

📝 Pytest plugin for testing notebooks

385K 209 19
ploomber
ploomber

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

7K 4K 244
nteract
nteract-scrapbook

A library for recording and reading data in notebooks.

4K 291 25
pynb-dag-runner
pynb-dag-runner-snapshot

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:

406 18 0
composable-logs
composable-logs-snapshot

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:

386 18 0
jpmorganchase
nbcelltests

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

208 97 26
timkpaine
jupyterlab-celltests

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

205 97 26
timkpaine
jupyter-paperboy

A web frontend for scheduling Jupyter notebook reports

168 254 25
ariadnext
papermill-report

Microservice to generate Jupyter reports combining papermill and nbconvert.

102 16 0
ktaletsk
yason

Jupyter Notebook Remote Scheduler for Argo on Kubernetes

96 12 1
pynb-dag-runner
pynb-dag-runner

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:

61 18 0
composable-logs
composable-logs

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:

61 18 0
nteract
scrapbook-beta

A library for recording and reading data in notebooks.

51 291 25
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology