Pez.AI uses 13 technologies like Google Cloud Platform, Google Docs, and Google Drive. View Pez.AI's complete Tech Stack.
Pez.AI Platform And Storage Technology
Google Cloud Platform is a suite of cloud computing services that enables developers to build, deploy, and scale applications, websites, and services on the same infrastructure as Google.
Pez.AI Collaboration Technology
Google Docs is an online word processor that lets client create and format text documents and collaborate with other people in real time.
Google Drive is a cloud storage and backup platform to access files, docs, photos & more, store them in a safe place, and collaborate with other people.
Slite is where modern teams write, retrieve and organize their content. From meeting notes to collaborative docs to internal processes.
Trello is a free app that makes working on group projects as easy as using sticky notes on their whiteboard.
Pez.AI Devops And Development Technology
Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
Kubernetes helps to manage a cluster of Linux containers as a single system to accelerate development and simplify operations.
Pez.AI Communications Technology
G Suite is a suite of apps from Google which offers a number of tools to communicate and collaborate with colleagues, store files, and manage data.
Pez.AI Programming Languages And Frameworks Technology
Java is a programming language and computing platform.
JavaScript is the programming language of HTML and the Web.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.
Fast and composable MVVM for building interactive interfaces.
Pez.AI Business Intelligence And Analytics Technology
Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks.
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