Amphi, visual data transformation based on Python
Amphi, visual data transformation based on Python
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 hesitate to star the repo and open GitHub issues if you encounter any problems or have suggestions. Amphi is still a young project, so there’s a lot that can be improved. I’d really appreciate any feedback!
Share cardActual performance
Launch Intel predictions
Analyze your own launch →Correct prediction on native model
Similar products
DataCompose – Composable data transformation primitives for PySpark
Incro – continuously data transformation for data warehouses
Vprof – visual profiler for Python
Verse, Visual Scripting for Python
Spreadsheet-based data modeling and transformation tool
Regrail – Open-Source, Visual Data Transformation and Querying Tool
Rocketizer – Painless Dockerfile Transformation to Rocket Containers
Data Monkey – data transformation made easy
Anonymize data with Python and Pandas
Data Ingestion / Transformation SaaS