> For the complete documentation index, see [llms.txt](https://quiltdocs.gitbook.io/t4/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://quiltdocs.gitbook.io/t4/master.md).

# Introduction

> [**Important Note: this project now lives in the** `quiltdata/quilt` **repository.**](https://github.com/quiltdata/quilt)

[![docs on\_gitbook](https://img.shields.io/badge/docs-on_gitbook-blue.svg?style=flat-square)](https://quiltdocs.gitbook.io/t4/) [![chat on\_slack](https://img.shields.io/badge/chat-on_slack-blue.svg?style=flat-square)](https://slack.quiltdata.com/) [![codecov](https://codecov.io/gh/quiltdata/t4/branch/master/graph/badge.svg)](https://codecov.io/gh/quiltdata/t4) [![pypi](https://img.shields.io/pypi/v/t4.svg?style=flat-square)](https://pypi.org/project/t4/)

## Overview

[Rethinking S3: Announcing T4, a team data hub](https://blog.quiltdata.com/rethinking-s3-announcing-t4-a-team-data-hub-8e63ce7ec988).

## A team data hub for S3

* T4 adds search, content preview, versioning, and a Python API to any S3 bucket
* Every file in T4 is versioned and searchable
* T4 is for data scientists, data engineers, and data-driven teams

![](https://github.com/quiltdata/t4/blob/master/docs/imgs/t4.gif?raw=true)

### Use cases

* Collaborate - get everyone on the same page by pointing them all to the same immutable data version
* Experiment faster - blob storage is schemaless and scalable, so iterations are quick
* Recover, rollback, and reproduce with immutable packages
* Understand what's in S3 - plaintext and faceted search over S3

### Key features

* Browse, search any S3 bucket
* Preview images, Jupyter notebooks, [Vega visualizations](https://vega.github.io/) - without downloading
* Read/write Python objects to and from S3
* Immutable versions for objects, immutable packages for collections of objects

## Components

* `/catalog` (JavaScript) - Search, browse, and preview your data in S3
* `/api/python` - Read, write, and annotate Python objects in S3

## Roadmap

* [Roadmap](https://github.com/quiltdata/t4/blob/master/Roadmap.md)
