Apache Superset is a Data Visualization and Data Exploration Platform
-
Updated
May 27, 2024 - TypeScript
Apache Superset is a Data Visualization and Data Exploration Platform
Quadratic | Data Science Spreadsheet with Python & SQL
Developer-first embedded analytics
Open Source Feature Flagging and A/B Testing Platform
Dataform is a framework for managing SQL based data operations in BigQuery
Jayvee is a domain-specific language and runtime for automated processing of data pipelines
The Log Store Network
A repository for the official home of Kedro.
Access management as code.
breadroll 🥟 is a simple lightweight library for data processing operations written in Typescript and powered by Bun.
This repository contains projects I completed while studying for my master's degree in computer science at Portland State University.
Datart is a next generation Data Visualization Open Platform
The World's First AI-Enabled Multi-Modality Native Search Engine
dataPipe is a data processing and data analytics library for JavaScript. Inspired by LINQ (C#) and Pandas (Python)
SQL Translator is a tool for converting natural language queries into SQL code using artificial intelligence. This project is 100% free and open source.
📊 Personal website to showcase my skills in data analytics and engineering.
Orbital automates integration between data sources (APIs, Databases, Queues and Functions). BFF's, API Composition and ETL pipelines that adapt as your specs change.
Coretex extension for VS Code, facilitating easier dev workflow by automating MLOps directly in your favorite IDE.
DAG-SQL-Builder is an editor that helps data developers write complex SQL. It advocates using DAG (Directed acyclic graph) to combine simple SQL to build complex SQL, Through this approach, you will have easier control over SQL with complex logic. In addition, its ”SQL-template“ functionality can reduce your time writing SQL and improve your work
end-to-end image search app
Add a description, image, and links to the data-engineering topic page so that developers can more easily learn about it.
To associate your repository with the data-engineering topic, visit your repo's landing page and select "manage topics."