# nteract/papermill

📚 Parameterize, execute, and analyze notebooks

Repository: https://github.com/nteract/papermill
Canonical: https://ross.abutalabs.com/products/papermill
Homepage: http://papermill.readthedocs.io/en/latest/
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: jupyter, notebooks, notebook-generator, nteract, publishing, pipeline, notebook, python, r, julia, scala
Last push: 2026-07-06T21:18:39+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 91, release rhythm 35, longevity 100
- inputs: {"age_days": 3345, "days_push": 58, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6477, forks 462 (observed 2026-08-28T04:09:43.729966+00:00)

## What it is
Papermill is a Python library and CLI tool for parameterizing, executing, and analyzing Jupyter notebooks. It enables running notebooks programmatically with different parameter sets, making notebooks usable as building blocks in data pipelines.

## Use cases
- run jupyter notebooks with different parameters programmatically
- execute notebooks as part of a data pipeline
- generate reports from a notebook template with varying inputs
- schedule parameterized notebook runs
- chain notebooks into workflows based on results
- batch-execute notebooks for multiple scenarios

## When to choose
- you want to treat notebooks as reusable, parameterized pipeline steps
- you need to run the same analysis notebook with many different inputs
- you want programmatic notebook execution from Python or the CLI

## When to avoid
- you need interactive notebook editing or a notebook UI
- your workload is plain Python scripts that don't need notebooks
- you need distributed notebook orchestration with scheduling built in

## Facets
- artifact type: library
- maturity: active
- function: developer-tools, workflow-automation, etl
- domain: data-science, developer-tools
- platform: python, cli, cross-platform
- tags: jupyter, notebooks, parameterization, notebook-execution, data-pipelines, automation

## Member repositories
- nteract/papermill (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.729966+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:44:34.503551+00:00, confidence not recorded.
  - readme: https://github.com/nteract/papermill (fetched 2026-08-28T04:09:43.729966+00:00, sha e7ad03902095)
  - registry_pypi: https://pypi.org/pypi/papermill/json (fetched 2026-08-29T08:41:36.021482+00:00, sha b6e260c740ad)
- Data as of 2026-08-30T08:39:29.467469+00:00.