semvec/pypi-packages huggingface dataset:
py-simple-flow 2020.8.23.3
Simple data processing (ETL) library with support for multi-processing
License: MIT
Keywords: etl,multi processing,data,processing,data processing,data flow,python3

### Python Simple Flow 
    - Simple framework with a defined structure for data processing with support for multi-process
    - Data processing flow is split into four phases:
        - Source: Fetch the data from a source 
        - Ingress: Register the data received, log or in DB for trace-ability
        - Transform: Business logic of transforming the data to your business needs
        - Egress: Push the data to downstream or your storage
    - Processing can be done in one process, like running it in-process or in multi processing mode
    - Mode to be chosen depends on the task you are doing
    - Easy setting up logger even in multi processing mode
pyprerender 0.0.9
A python prerender
License: MIT
Requires Python: >=3.7

# pyprerender
A python prerenderer

## About

Intended to be a fully replaceable [prerender](https://github.com/prerender/prerender) alternative. For now it is very barebones and does not support the majority of the features.

## Install instructions

To install, you can simply use pip:

`pip install pyprerender`

To install a git version, simply do this:

    git clone https://github.com/thingiesmm/pyprerender.git
    pip install ./pyprerender/


## Run instructions

After installing just run `pyprerender-api.py` (_You may need to set your chrome bin location by running `CHROME_LOCATION=/my/chrome/location pyprerender-api.py`_)

Then you can test it by running `curl "0.0.0.0:8080/render?url=https://example.com"`


## Contributing

TODO