brightics/studio repository overview

⁠Brightics Studio v1.3

⁠Overview

Brightics Studio is a web-based data analysis workflow tool for data scientists.
Brightics Studio has an intuitive user interface and the interactive GUI will let you find potential insights from your data.
Brightics Studio supports an interface for analytics by wrapping popular python libraries such as scikit-learn and pandas.
Using Brightics Studio, both citizen data scientists and professional data scientists will be able to handle their projects.
Using the Brightics Toolkit, user interfaces for custom functions can be generated and they will be usable in the Brightics workflow.
Charts and report generators are also provided to visualize data in various ways.

⁠Documentation

Please visit our web site http://www.brightics.ai⁠

⁠Getting started

⁠Step 1-1. Run without a volume

If you don't need to store any user data

$ docker run -d -p 3000:3000 brightics/studio:latest

It may take approximately 20 seconds for all components of brightics-studio to start.

⁠Step 1-2. Run with a volume

If you want to store the user data you were working on

for windows

$ mkdir userdata
$ docker run -d -p 3000:3000 --privileged=true -v "%CD%/userdata:/brightics-studio/userdata" brightics/studio:latest

for macOS or Linux

$ mkdir userdata
$ docker run -d -p 3000:3000 --privileged=true -v "`pwd`/userdata:/brightics-studio/userdata" brightics/studio:latest

The user data directory will may be created as root.

If you want to change the owner of the directory, execute the following statement.

$ sudo chown `id -un`:`id -un` -R userdata

⁠Step 2. Stop

$ docker ps | grep brightics/studio:latest | awk '{system("docker stop " $1 ")}'

⁠Contact us

If you like to use Brightics Studio, please let us know your usage and feedback.
Or you have questions while using Brightics Studio, don't hesitate and feel free to contact [email protected]⁠