semvec/pypi-packages huggingface dataset:
flask-satella-metrics 1.6.0
A library to metric your Flask app using Satella
Requires Python: !=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*
Keywords: flask, satella, metrics, instrumentation, prometheus


flask-satella-metrics
=====================

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flask-satella-metrics is an application to seamlessly measure your Flask
application using Satella's metrics.

Example use:

```python
import flask
from flask_satella_metrics import SatellaMetricsMiddleware
app = flask.Flask(__name__)
SatellaMetricsMiddleware(app)
```

And to launch a Prometheus exporter use the following snippet:

```python
from satella.instrumentation.metrics.exporters import PrometheusHTTPExporterThread
phet = PrometheusHTTPExporterThread('0.0.0.0', 8080, {'service_name': 'my_service'})
phet.start()
```

Or, if you desire to export your metrics within Flask, just use:

```python
import flask
from flask_satella_metrics.prometheus_exporter import PrometheusExporter
app = flask.Flask(__name__)
app.register_blueprint(PrometheusExporter({'service_name': 'my_service'}))
```
pydactim 1.0.18
A library to post-process MRI data
Requires Python: >=3.7

# PyDactim

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## Description

> **Warning**
: Currently in development

A MRI preprocessing tool which provides a dozen of functions easy to use made from some of the most popular Python libraries 🚀

It includes :
  - Transformations : skull stripping, resampling, registration, histogram matching, bias field correction, normalization and so on
  - Preprocessing : BIDS compatible, preprocess all of your patient data with only two lines of code
  - Conversion : Dicom to Nifti, Nifti to Dicom
  - Sorting : an elegant way to organize your Dicom files 
  - Anonymization : Dicom files can be anonymized according to your own rules
  - Visualization : 2D and 3D light viewer
  - Spectroscopy : generation of mask of the MRS voxel/slab

## Installation

Requires at least Python 3.7 or above. This library uses a lot of common libraries in image processing as such as [Pytorch](https://github.com/pytorch/pytorch), [Torchio](https://github.com/fepegar/torchio), [Numpy](https://github.com/numpy/numpy), [Nibabel](https://github.com/nipy/nibabel), [SimpleITK](https://github.com/SimpleITK/SimpleITK), [Matplotlib](https://github.com/matplotlib/matplotlib), [Pydicom](https://github.com/pydicom/pydicom), [Dicom2nifti](https://github.com/icometrix/dicom2nifti) and so more !

Can be quickly installed with pip :

```
pip install pydactim
```