papermill
airflow-notebook
papermill | airflow-notebook | |
---|---|---|
26 | 1 | |
5,630 | 13 | |
0.6% | - | |
8.0 | 2.4 | |
7 days ago | about 2 years ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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papermill
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Spreadsheet errors can have disastrous consequences – yet we keep making them
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:
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Jupyter Kernel Architecture
There is Papermill ... https://github.com/nteract/papermill
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Git and Jupyter Notebooks Guide
https://github.com/jupyter/enhancement-proposals/pull/103#is...
Papermill is one tool for running Jupyter notebooks as reports; with the date in the filename. https://papermill.readthedocs.io/en/latest/
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JupyterLab 4.0
You may be interested in papermill to address the parametrized analysis problem [1]. I think (but I'm not positive) this is what the data team at a previous job used to automate running notebooks for all sorts nightly reports.
[1] https://papermill.readthedocs.io/en/latest/#
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Show HN: Mercury – convert Jupyter Notebooks to Web Apps without code rewriting
I'm using Papermill to operationalize Notebooks (https://github.com/nteract/papermill), it e.g. also has airflow support. I'm really happy with papermill for automatic notebook execution, in my field it's nice that we can go very quickly from analysis to operations -- while having super transparent "logging" in the executed notebooks.
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What's the best thing/library you learned this year ?
papermill bcpandas fastapi
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Does the Jupyter API allow using Jupyter from the CL?
But you can execute your notebook using Jupyter-run or papermill.
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Running Jupyter notebooks in parallel
As a first option, we will use Papermill, which has a Python API that allows us to run different notebooks using some functions:
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Tips for using Jupyter Notebooks with GitHub
Papermill can also target cloud storage outputs for hosting rendered notebooks, execute notebooks from custom Python code, and even be used within distributed data pipelines like Dagster (see Dagstermill). For more information, see the papermill documentation.
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Three Tools for Executing Jupyter Notebooks
Papermill Source Code
airflow-notebook
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Automate your machine learning workflow tasks using Elyra and Apache Airflow
Each pipeline node represents a task in the DAG and is executed in Apache Airflow with the help of a custom NotebookOp operator. The operator also performs pre- and post processing operations, that, for example, make it possible to share data between multiple tasks using shared cloud storage.
What are some alternatives?
nbconvert - Jupyter Notebook Conversion
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
incubator-airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows [Moved to: https://github.com/apache/airflow]
nbdev - Create delightful software with Jupyter Notebooks
canvas
voila - Voilà turns Jupyter notebooks into standalone web applications
jina - ☁️ Build multimodal AI applications with cloud-native stack
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
mercury - Convert Jupyter Notebooks to Web Apps