amphi-etl

Hi everyone, I’d like to introduce Amphi, a free and source-available visual data transformation tool. Amphi is a low-code tool designed for data preparation, manipulation and ETL tasks, whether you're working with files or databases, and it supports a wide range of data transformation operations. The main difference from tools like Alteryx or Knime is that Amphi is based on Python and generates native Python code (pandas and DuckDB) that you can export and run anywhere. You also have the flexibility to use any Python libraries and integrate custom code directly into your pipeline. It is available as both a standalone application or a JupyterLab extension (see Github repo for install instructions). If you're interested don't hesitate to give it a try. You can install it via pip (Python and pip need to be installed on your laptop). Don't h

isn't the code available here? https://github.com/amphi-ai/amphi-etl what makes it not OSS?

Hi everyone, thanks for posting Amphi :) To give some context, Amphi is a low-code ETL tool for both structured and unstructured data. The key use cases include file integration, data preparation, data migration, and creating data pipelines for AI tasks like data extraction and RAG. What sets it apart from traditional ETL tools is that it generates Python code that you own and can deploy anywhere. Amphi is available as a standalone web app or as a JupyterLab extension. Visit the GitHub: https://github.com/amphi-ai/amphi-etl Give it a try and let me know what you think