Metadata-Version: 2.1
Name: ploteries
Version: 0.1.2
Summary: Plotting for ML training
Home-page: https://github.com/zepedaj/soleil
Author: Joaquin Zepeda
Keywords: plots,tensorboard,machine learning,training
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pytest
Requires-Dist: sphinx
Requires-Dist: enum_tools
Requires-Dist: numpy
Requires-Dist: sqlalchemy==1.4.46
Requires-Dist: climax
Requires-Dist: dash
Requires-Dist: dash_daq
Requires-Dist: gunicorn
Requires-Dist: jztools>=0.1.5
Requires-Dist: pandas
Requires-Dist: rich



* See [Ploteries's full documentation](https://ploteries.readthedocs.io/en/latest/) for more information


* Contribute at [Ploteries's github page](https://github.com/zepedaj/ploteries)

Installation:
--------------

```
pip install ploteries
```

Benefits:
--------- 
- Can use any name for tags, the actual name will be displayed.
- Uses plotly plots, full flexibility.

Aims:
---------
- A clear separation between data and storage.
- Separates data storage and display code - can define and re-style display post computations/storage.

Transparent computations:
- What is Tensorboard's wall time? How is smoothign computed? How are histograms computed?

Things to do:
---------
- Better separation between data and display.
- Common interface to add new plots by user used to create histograms.

