https://github.com/basis-os/basis-devkit

Data pipelines from re-usable components
https://github.com/basis-os/basis-devkit

data-analysis data-engineering data-pipeline data-pipelines data-science etl etl-framework etl-pipeline etl-pipelines functional-reactive-programming immutability pipelines sql

Last synced: 2 months ago
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Data pipelines from re-usable components

• Host: GitHub
• URL: https://github.com/basis-os/basis-devkit
• Owner: patterns-app
• License: bsd-3-clause
• Created: 2020-05-19T20:27:01.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-03-30T21:22:07.000Z (almost 2 years ago)
• Last Synced: 2024-08-05T03:01:59.730Z (6 months ago)
• Topics: data-analysis, data-engineering, data-pipeline, data-pipelines, data-science, etl, etl-framework, etl-pipeline, etl-pipelines, functional-reactive-programming, immutability, pipelines, sql
• Language: Python
• Homepage:
• Size: 1.75 MB
• Stars: 106
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
 



  



 



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---

## Installation

`pip install patterns-devkit`

## Usage

`patterns create graph mygraph`

This will create an empty patterns graph:

```

mygraph/

  graph.yml

```

Create a new python node:

```

cd mygraph

patterns create node mynode.py

```

```

mygraph/

  graph.yml

  mynode.py

```

## Upload

To deploy a graph, you must sign up for a [patterns.app](https://studio.patterns.app)

account and login to authenticate the cli:

`patterns login`

Then you can upload your graph:

`patterns upload`

## Other commands

You can see the full list of available cli commands:

```

patterns --help

```