A lightweight server clone of Azure Storage that simulates most of the commands supported by it with minimal dependencies

Azurite Game Engine is a 2D Java game engine built on top of LWJGL.

Backend application using Testcontainers for Integration Testing AWS S3, Azure Blob Storage, Kafka, MySQL, Egress calls including Chaos testing and Redis.

Typescript starter for a timer-triggered (CRON job) Azure Function.

https://tech-blog.lectra.com/article/781-azurite-testcontainers-comment-tester-azure-blob-storage-sans-nuage

.NET 9 web application inspired by Twitter. Built with Razor Pages, Keycloak, PostgreSQL, Azurite, SignalR, and Clean Architecture.

Documentation website for Azurite Java Game Engine

This is a Telegram bot built with .NET 8 Azure Functions (Isolated Worker model) that integrates with GitHub to provide real-time notifications, OAuth-based login, and repository interaction.

Fork of Azurite, pipeline publishes a windows server base image container to docker registry

End-to-End Data Analytics Project covering ETL (Python + Azurite), MySQL data modeling, and interactive Power BI dashboards. Features:

Deploy Mlflow with remote tracking server, backend and artifact stores on local machine

🥳Azurite como Azure Blob Storage

Reproducing a bug in Azurite when inserting in batch mode into a non-existing table

Azurite in Docker with build-in container for testing and development

Frontend for a real estate rental platform featuring Angular, Tailwind, PrimeNG, and Google login.

A complete end-to-end data analytics pipeline for unicorn startups, built for MAANG-style business decision-making. This project uses Python to clean and transform raw startup data, automates staging in Azurite cloud and MySQL, and delivers interactive, drill-through dashboards in Power BI.

Contains Docker image for Azurite V2

Project Description: This project analyzes Tesla’s financial growth and stock performance from 2015 to 2024 using simulated real-world data. Python was used to generate and clean the dataset, while SQL helped extract key insights like revenue trends and profitability. The final interactive dashboard was built in Power BI,

This is the accompanying repository for the corresponding article on medium

"End-to-end sentiment analysis pipeline for Amazon reviews leveraging Python (TextBlob), MySQL, and Power BI with cloud-ready architecture (Azure Blob Storage simulation)."