Deploy Memgraph on your own server.

Jupyter Notebook is a popular, free, and open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It supports numerous programming languages and is widely used for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. The app is designed to be accessed via your web browser, providing an interactive interface for easy development and experimentation. It supports hardware acceleration for enhanced performance in computational tasks. The app is compatible with multiple architectures, ensuring it can run on various systems.

Metaflow is an open-source framework for building and managing real-life ML, AI, and data science projects. Originally developed at Netflix and now supported by Outerbounds, Metaflow streamlines the entire development lifecycle—from rapid prototyping in notebooks to reliable production deployments. It unifies code, data, and compute at every stage, enabling teams to iterate quickly and deliver robust AI/ML systems. Used by Amazon, Doordash, Goldman Sachs, and many others.

ArangoDB is a multi-model NoSQL database system that supports graph, document, and key-value data models. It is designed for scalability, high availability, and flexibility, making it suitable for a wide range of applications, from simple document storage to complex graph processing. ArangoDB offers a native query language (AQL), full-text search capabilities, a built-in HTTP API, and a web-based UI for management. It also provides features like replication, sharding, and ACID transactions to ensure data integrity and performance. With its integrated search engine and support for multi-tenancy, ArangoDB is an ideal choice for both small projects and enterprise-level applications.