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Automatically visualize your pandas dataframe via a single print! 📊 💡
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
Compare tables within or across databases
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.
Scalable and efficient data transformation framework - backwards compatible with dbt.
Core Python libraries ported to MicroPython
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
%%sql magic for IPython, hopefully evolving into full SQL client
🛠️ Learn a technology X by doing a project - Search engine of project-based learning
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automate…
Clean APIs for data cleaning. Python implementation of R package Janitor
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
No-code in the front, Python in the back. An open-source framework for creating data apps.
MetricFlow allows you to define, build, and maintain metrics in code.
A Data Engineering & Machine Learning Knowledge Hub