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
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
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.
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.
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
🌳 Self-hosted, plugin-first data preparation — the same visual pipeline runs in your browser (DuckDB-WASM) or on the backend (DuckDB), with ML, time-series, per-row lineage, and one-click .py/.ipynb export.
Google Cloud (Big data application) Group Project that i led, consisted of (Kaggle API, Cloud Run, GCS, Dataprep, BigQuery, Looker Studio)
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