cytoflow
papermill
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cytoflow | papermill | |
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3 | 26 | |
162 | 5,630 | |
3.7% | 1.3% | |
0.0 | 8.0 | |
10 months ago | 2 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cytoflow
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Working with fluorescent intensity and replicates in FlowJo?
Or, if you use Python, there are several packages that let you apply the full power of the scientific Python ecosystem to flow data. Admittedly, I'm partial to the one I wrote: https://github.com/cytoflow/cytoflow. And if you want point-and-click, there's a GUI too. (No KS test, though it would be straightforward to add -- submit a feature request on Github!)
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Yes this another post asking for a cracked FlowJo
Another alternative is cytoflow which is maybe a bit more comfortable to use.
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Is FlowLogic horrible or is it just me?
if you know Python I'd recommend https://github.com/cytoflow/cytoflow
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
What are some alternatives?
ipyflow - A reactive Python kernel for Jupyter notebooks.
nbconvert - Jupyter Notebook Conversion
bokeh - Interactive Data Visualization in the browser, from Python
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Sooty - The SOC Analysts all-in-one CLI tool to automate and speed up workflow.
airflow-notebook - This repository is no longer maintained.
nbdev - Create delightful software with Jupyter Notebooks
voila - Voilà turns Jupyter notebooks into standalone web applications
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