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https://github.com/apla/dataflo.ws
workflow processing for javascript
https://github.com/apla/dataflo.ws
Last synced: 21 days ago
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workflow processing for javascript
- Host: GitHub
- URL: https://github.com/apla/dataflo.ws
- Owner: apla
- Created: 2011-07-11T22:46:10.000Z (over 13 years ago)
- Default Branch: master
- Last Pushed: 2016-09-20T07:28:54.000Z (over 8 years ago)
- Last Synced: 2024-11-27T11:43:53.902Z (about 1 month ago)
- Language: JavaScript
- Homepage:
- Size: 3.66 MB
- Stars: 107
- Watchers: 22
- Forks: 21
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
*dataflo.ws*: dataflow processing for javascript
=============================================[![build](https://travis-ci.org/apla/dataflo.ws.svg)](https://travis-ci.org/apla/dataflo.ws)
[![NPM Version](http://img.shields.io/npm/v/dataflo.ws.svg?style=flat)](https://www.npmjs.org/package/dataflo.ws)
[![codecov.io](https://codecov.io/github/apla/dataflo.ws/coverage.svg?branch=master)](https://codecov.io/github/apla/dataflo.ws?branch=master)example
-------------------------------you can see a working example by running
npm install -g dataflo.ws
cd $NODE_PATH/dataflo.ws/example/yql/ # example project directory
dataflows daemon yqlabstract
-------------------------------every application is based on series of dataflows. if your dataflow is written
in a program code, you have a problem. people don't want to screw up, but
they do. `dataflo.ws` is an abstract async processing framework for describing
dataflows in simple configuration.you can use a dataflow for description of programmatic dataflows. or real life ones.
add DSL by your own taste.
quick start
-------------------------------install dataflows:
`npm install -g dataflo.ws`
create dataflows project
```
DFPROJECT=my-project-name
mkdir $DFPROJECT
cd $DFPROJECT
dataflows init
```create an dataflows script
`dataflows create script my-script-name`
create a dataflows task class
`dataflows create class my-class-name`