Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.

A curated list of example code to collect data from Web APIs using DataPrep.Connector.

A dashboard is worth a thousand words => https://datastudio.google.com/reporting/755f3183-dd44-4073-804e-9f7d3d993315

Make your dataset talk to you. The AI assistant for data preparation.

Assets for the demonstration of the blog post "How to Automate a Cloud Dataprep Pipeline When a File Arrives"

Full ELT process on GCP environment.

mltrons dptron: Dirty Data in, Clean Data Out!

Trigger a Dataflow job when a file is uploaded to Cloud Storage using a Cloud Function

EDA development, ETL, API creation, query generation, deploy on two different platforms.

Create or update Google Cloud Data Catalog tags with Cloud Dataprep metadata and column profile

Trigger a Dataprep job when a file is uploaded to Cloud Storage using a Cloud Function

This repository contains the code snippets, short and long scripts for EDA, and some useful libraries to save time.

Building an automated pipeline in Google Cloud Platform to decompress, prepare, and perform visual analytics on responses collected with Google Form surveys.

A helper package for preparing and combining data from a variety of sources

Web application to explore Google Cloud Storage files with Dataprep

dataprep-alteryx ✳️ : Political & Election # DataPrep # Alteryx # Trifacta # Wrangle # Recipe

High performance ETLCDB extractor & processing toolkit, used to train a ConvNeXt-based model for OCR tasks. Includes a complete preprocessing suite with unpacking, dataset prep utilities & more.

Multi-environment CSV data analysis orchestrator that resolves dependency conflicts between profiling engines through isolated conda environments while providing a unified interface.

Helper functions, to transform Pandas Dataframes.