https://github.com/hanjinliu/himena
An infinitely extensible and reusable application framework for data science.
https://github.com/hanjinliu/himena
gui qt
Last synced: about 2 months ago
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An infinitely extensible and reusable application framework for data science.
- Host: GitHub
- URL: https://github.com/hanjinliu/himena
- Owner: hanjinliu
- License: bsd-3-clause
- Created: 2024-06-09T19:23:59.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2026-04-25T22:03:12.000Z (about 2 months ago)
- Last Synced: 2026-04-25T23:30:25.763Z (about 2 months ago)
- Topics: gui, qt
- Language: Python
- Homepage: https://hanjinliu.github.io/himena/
- Size: 13.5 MB
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
#  Himena
[](https://pypi.org/project/himena)
[](https://pypi.org/project/himena)
[](https://pypistats.org/packages/himena)
[](https://codecov.io/gh/hanjinliu/himena)
-----
`himena` is an infinitely extensible and reusable applications framework for data
science.
Motivation
There are many GUI applications for data science, and many of them use the "plugin
system" to extend their functionality. Even though the plugin system is a good idea,
there are plenty of duplicated works in the third-party plugins.
The reason is that **plugins cannot extend other plugins**. Imagine that you are a
plugin developer and making a plugin that extract features from images as a table. To
make your plugin more useful, you will need to implement not only the table widget, but
filter/sort functions, plotting functions, and I/O functions as well. You will also be
sad to find that these functions cannot readily be used in other plugins.
`himena` is designed so that **plugins developers can cooperate with each other**. The
table widgets you implemented in your plugin can be used by other plugins that return a
tabular data. The plotting functions you implemented in your plugin can be used from
any table widgets implemented in other plugins.
To join this plugin community, please check out the [developer's guide](https://hanjinliu.github.io/himena/dev/).
### Documentation
Tutorial, developer's guide, and API reference are available at the [documentation site](https://hanjinliu.github.io/himena/).
## Installation
`himena` is available on [PyPI](https://pypi.org/project/himena/).
```shell
pip install himena -U # minimal dependencies
pip install himena[recommended] -U # ready to use with recommended optional dependencies
```
Alternatively, you can install the latest version from GitHub.
```shell
git clone git+https://github.com/hanjinliu/himena
cd himena
pip install -e .
```
## Start application
Command `himena` will be available after installation.
```shell
himena
```
## Existing Plugins
You can customize `himena` for your needs by installing plugins. Here's some example plugins:
- [himena-image](https://github.com/hanjinliu/himena-image): image processing and analysis
- [himena-stats](https://github.com/hanjinliu/himena-stats): statistical testing and modeling.
- [himena-seaborn](https://github.com/hanjinliu/himena-seaborn): [seaborn](https://github.com/mwaskom/seaborn) plotting.
- [himena-lmfit](https://github.com/hanjinliu/himena-lmfit): Curve fitting and parameter optimization using [lmfit](https://lmfit.github.io/lmfit-py/model.html).
- [himena-bio](https://github.com/hanjinliu/himena-bio): widgets and commands for basic bioinformatics analysis using [biopython](https://github.com/biopython/biopython).
- [himena-relion](https://github.com/hanjinliu/himena-relion): A modern RELION GUI built on `himena`.
- [napari-himena](https://github.com/hanjinliu/napari-himena): Sending data between `napari` and `himena`.