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…
What it does
In the maker’s words, at launch
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!
Does the same job
all alternatives →- PIParabola.io – Automate your work with visual programming2018 · parabola.io · ▲291
Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…
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