https://github.com/man-group/pynorama
Natural Language Processing Visualization in Python
https://github.com/man-group/pynorama
Last synced: 7 months ago
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Natural Language Processing Visualization in Python
- Host: GitHub
- URL: https://github.com/man-group/pynorama
- Owner: man-group
- License: lgpl-2.1
- Created: 2017-12-15T15:47:49.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2019-07-04T13:01:51.000Z (over 6 years ago)
- Last Synced: 2025-06-23T04:16:10.830Z (7 months ago)
- Language: JavaScript
- Size: 1.37 MB
- Stars: 108
- Watchers: 21
- Forks: 24
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.md
- License: LICENSE
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README
## Pynorama
Pynorama is a tool for visualizing intricate datasets for which a simple table format is not suitable. It was created with Natural Language Processing applications in mind.
Pynorama lets you define *views* in **Python** that are rendered as interactive web applications, letting you browse, analyse and understand your data.
Pynorama is **scalable and extensible.**
Pynorama has a clean and simple architecture.
It makes little assumptions about your data source or data format.
Read in the [documentation](https://github.com/manahl/pynorama/blob/master/docs/source/walkthrough.ipynb) about developing extensions.
## Quickstart
### Install Pynorama
For a minimal install run:
```
pip install pynorama
```
### Using Pynorama
To create a *view*:
* define a table describing your data records. Currently supported sources are pandas.DataFrame and MongoDB queries.
* define different stages of your data pipeline.
* return a particular records for a given stage.
* configure the UI
In Python this would look similar to this:
```python
from pynorama import View
from pynorama.table import PandasTable
class ExampleView(View):
def __init__(self, name, description=''):
super(ExampleView, self).__init__(name, description)
setup_data()
def get_pipeline(self):
return {
'raw_stage': {'viewer': 'raw'},
'tokenized': {'viewer': 'json', 'parents': ['raw_stage']}
}
def get_record(self, key, stage):
if stage == 'raw_stage':
return get_html(key)
else:
return get_processed_data(key)
def get_table(self):
return PandasTable(get_dataframe())
```
Next, register the view with pynorama:
```python
from pynorama import register_view
register_view(ExampleView('example'))
```
Finally, let Pynorama set up a *Flask* server for you and start it:
```python
from pynorama import make_server
app = make_server()
app.run(host='localhost', port='5000')
```
Now just run your Python script! The view should be accessible at *http://localhost:5000/view/example*.
For more information check the [examples](examples) and the [documentation](https://github.com/manahl/pynorama/blob/master/docs/source/walkthrough.ipynb)!
## Acknowledgements
Pynorama was developed at [Man AHL](http://www.ahl.com/).
Original concept and implementation: [Alexander Wettig](https://github.com/CodeCreator)
Contributors from AHL Tech team:
* [Slavi Marinov](https://github.com/slavi)
* [Nikolai Matiushev](https://github.com/egao1980)
Contributions welcome!
## License
Pynorama is licensed under the GNU LGPL v2.1. A copy of which is included in [LICENSE](LICENSE)