semvec/pypi-packages huggingface dataset:
strome 1.0.0
Strome - Micro-framework for Python for building processing pipelines
License: MIT
Requires Python: >3.6
Keywords: pre-process processing pipiline

Strome
======


.. image:: https://raw.githubusercontent.com/corvis/strome/master/docs/assets/cover-picture.png
   :target: https://raw.githubusercontent.com/corvis/strome/master/docs/assets/cover-picture.png
   :alt: Strome Cover Picture


**Strome** (from Danish ``Stromen`` */ˈstroː.mə(n)/*\ , stream) is a Python micro-framework for building processing pipelines.

Credits
=======


* Dmitry Berezovsky, author
* `CLI Rack <https://github.com/corvis/cli-rack>`_

Disclaimer
==========

This module is licensed under MIT. This means you are free to use it in commercial projects.

The MIT license clearly explains that there is no warranty for this free software. Please see the included LICENSE file
for details.
process-plot 0.2.1
Create plots of memory usage for a process.
License: MIT
Requires Python: >=3.7
Keywords: memory,profiling

# process-plot

[![Build Status][ci-badge]][ci-link]
[![codecov.io][cov-badge]][cov-link]
[![PyPI version][pypi-badge]][pypi-link]

Create plots of resource usage for a process (memory, CPU, etc).

Process statistics are polled at a set interval, in a cross-platform manner (i.e. supports Linux, OSX and Windows).

## Usage

Install the package with [pip](https://pip.pypa.io) or [pipx](https://github.com/pypa/pipx):

```console
$ pipx install process-plot
```

then run:

```console
$ pplot exec -i 0.1 "sleep 1"
PPLOT INFO: Output files will be written to: /user/pplot_out, with basename: 20210921125420
PPLOT INFO: Running process as PID: 5379
PPLOT INFO: Total run time: 0 hour(s), 00 minute(s), 01.034680 second(s)
PPLOT INFO: Plotting results to: pplot_out/20210921125420.png
PPLOT SUCCESS!
```

You will then find the output files in `/user/pplot_out`, with a plot for the process like:

![example plot](example.png)

Additional options are available:

```console
$ pplot exec --help
Usage: pplot exec [OPTIONS] COMMAND

  Execute a command and profile it.

Options:
  -i, --interval FLOAT            Polling interval (seconds)
  -t, --timeout FLOAT             Timeout process (seconds)
  -c, --command-output [hide|screen|file]
                                  Mode for stdout/stderr of command  [default:
                                  file]
  -o, --outfolder DIRECTORY       Folder path for output files
  -n, --basename TEXT             Basename for output files (defaults to
                                  datetime)
  -p, --plot-cols [memory_rss|memory_vms|cpu_percent|cpu_time_user|cpu_time_sys|threads_num|files_num]
                                  Columns to plot (comma-delimited)  [default:
                                  memory_rss,cpu_percent]
  --title TEXT                    Plot title (defaults to command)
  --grid / --no-grid              Add grid to plots  [default: grid]
  -sw, --size-width FLOAT         Width of plot in cm
  -sh, --size-height FLOAT        Height of plot in cm
  -f, --format [png|pdf|svg]      Plot file format
  -v, --verbose                   Increase verbosity  [x>=0]
  -q, --quiet                     Quiet mode
  --help                          Show this message and exit.
```

## Acknowledgements

Initially adapted from: <https://github.com/jeetsukumaran/Syrupy>

[ci-badge]: https://github.com/chrisjsewell/process-plot/workflows/CI/badge.svg?branch=main
[ci-link]: https://github.com/chrisjsewell/process-plot/actions?query=workflow%3ACI+branch%3Amain+event%3Apush
[cov-badge]: https://codecov.io/gh/chrisjsewell/process-plot/branch/main/graph/badge.svg
[cov-link]: https://codecov.io/gh/chrisjsewell/process-plot
[pypi-badge]: https://img.shields.io/pypi/v/process-plot.svg
[pypi-link]: https://pypi.org/project/process-plot
setux-desktop 0.21.38.1
System deployment
License: MIT
Requires Python: >3.6
Keywords: utility

########
 setux
########

**Setux Desktop**

Desktop Setux Distribution

========
Abstract
========

Setux for desktop installations.

=====
Usage
=====

REPL:
.. code-block:: shell

    setux

Python:
.. code-block:: python

   import setux

============
Installation
============

.. code-block:: shell 

    $ pip install setux_desktop