# Creating and publishing reports from notebooks
**URL:** https://discourse.jupyter.org/t/creating-and-publishing-reports-from-notebooks/579
**Category:** nbconvert
**Created:** [March 24, 2019, 5:10pm UTC](https://discourse.jupyter.org/t/creating-and-publishing-reports-from-notebooks/579 "2019-03-24T17:10:11Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@betatim](https://discourse.jupyter.org/u/betatim)
#### Post date: [March 24, 2019, 5:10pm UTC](https://discourse.jupyter.org/t/creating-and-publishing-reports-from-notebooks/579/1 "2019-03-24T17:10:11Z")
Continuing the discussion from [Thinking about reapplying to Outreachy in May 2019](https://discourse.jupyter.org/t/thinking-about-reapplying-to-outreachy-in-may-2019/404/4):
I like using [papermill](https://papermill.readthedocs.io/en/latest/) and repo2docker to execute notebooks on a schedule (bring your own scheduler … airflow, cron, etc). papermill can read from and write tobasically “all” cloud storage backends you’d ever want. Basically something like `repo2docker . papermill notebook.ipynb s3://.../somebucket/output.ipynb`
There is also [https://github.com/nteract/bookstore](https://github.com/nteract/bookstore)
What kind of tooling do others use? What are things you’d like to be able to do but can’t?
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### Author:  [@jhermann](https://discourse.jupyter.org/u/jhermann)
#### Post date: [March 24, 2019, 5:27pm UTC](https://discourse.jupyter.org/t/creating-and-publishing-reports-from-notebooks/579/2 "2019-03-24T17:27:17Z")
Right now, I’m using `nbconvert --to html …` and upload the results to Artifactory. Next step is to push contents into Confluence ([https://github.com/Valassis-Digital-Media/nbconflux](https://github.com/Valassis-Digital-Media/nbconflux)).