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nteract
papermill
Python2018–2024
nteract / papermill

papermill

📚 Parameterize, execute, and analyze notebooks

8Distinct people
9Mentions
0Explicit recommenders
6.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

📚 Parameterize, execute, and analyze notebooks

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year9 dated mentions

Observed mentions: 2018-08-26 22:37:39 UTC to 2024-12-18 14:19:07 UTC.

01232018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC211
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC110
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC312

What Hacker News says

9 sources
There are a number of ways to run tests within notebooks and to run notebooks as tests. ipytest: https://github.com/chmp/ipytest nbval: https://github.com/computationalmodelling/nbval papermill: https://github.com/nteract/papermill awesome-jupyter > Testing: https://github.com/markusschanta/awesome-jupyter "Is there a cell tag convention to skip execution?" https://discourse.jupyter.org/t/is-there-a-cell-tag-conventi... Methods for importing notebooks like regular Python modules: ipynb, import_ipnb, nbimporter, nbdev nbimporter README on why not to import notebooks like modules: https://github.com/grst/nbimporter#update-2019-06-i-do-not-r... nbdev parses jupyter notebook cell comments to determine whether to export a module to a .py file: https://nbdev1.fast.ai/export.html There's a Jupyter kernel for running ansible playbooks as noteb
Read the rest
ooks with output. dask-labextension does more of a retry-on-failure workflow
In Jupyter Notebooks as E2E Tests
Pandas docs > Comparison with spreadsheets: https://pandas.pydata.org/docs/getting_started/comparison/co... Pandas docs > I/O > Excel files: https://pandas.pydata.org/docs/user_guide/io.html#excel-file... nteract/papermill: https://github.com/nteract/papermill : > papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks. [...] > This opens up new opportunities for how notebooks can be used. For example: > - Perhaps you have a financial report that you wish to run with different values on the first or last day of a month or at the beginning or end of the year, using parameters makes this task easier. "The World Excel Championship is being broadcast on ESPN" (2022) https://news.ycombinator.com/item?id=32420925 : > Computational notebook speedrun ideas:
In Spreadsheet errors can have disastrous consequences – yet we keep making them

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