MacOS / Linux users can use Brightics Studio by following the installation guide below.
- 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.
Please visit our web site https://www.brightics.ai
You can install Brightics Studio using a release file or a docker image.
- Some functions which interact with database need client libraries such as Oracle Instant Client
- You can use the Brightics Studio Docker image by referring to Installation - docker.
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Download
Download release files are available from github release or our web site http://www.brightics.ai/downloads
Execute the downloaded file. It will extract files automatically.
BrighticsStudio-\<version\>-\<os name\>.exe : for windows BrighticsStudio-\<version\>-\<os name\>.sh : for linux (Ubuntu)Details of the directory is as follows:
/brightics-studio/brightics-server : core home /brightics-studio/visual-analytics : GUI home /brightics-studio/lib : external libs -
Launch
You don't need to prepare anything before running it. Our releases contain all requirements in a package itself.
Go to unzipped directory and run.Brightics-Studio-Launcher.exe : Launcher for windows start-brightics.cmd : for windows start-brightics.sh : for linux (Ubuntu)Notes
Tokenizer (Korean) function will not work properly if the installation path contains Korean characters.
You need to install Brightics Studio in a folder whose full path does not contain Korean characters in order to make use of this function. -
Patch
If a new version is released, you should move these files to newer version of brightics-studio to maintain data and projects.
/brightics-studio/visual-analytics/brightics.db /brightics-studio/brightics-server/data/* -
Run
Brightics Studio pops up on Chrome browser after launching start-brightics.cmd (or start-brightics.sh).
Please go to http://127.0.0.1:3000 manually to use Brightics Studio if it does not pop up automatically.
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Docker
Install Docker in user's working environment.
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Docker Image
Docker image is available on Docker Hub.
Run
$ docker volume create brightics $ docker run -d -p 3000:3000 --privileged=true -v brightics:/brightics-studio/userdata --name brightics brightics/studio:latestStop
$ docker stop brightics
When Brightics Studio is executed, the web service is executed through the service port (3000), so if it is opened to the Internet without a firewall or access control, data leakage or hacking attempts may occur by accessing from the outside. If you are in an environment where access through the Internet is possible, be sure to set up an appropriate firewall to ensure that access is only allowed from authorized PCs to maintain security.
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]
Visual Analytics(Web GUI) project is licensed under the terms of the Brightics Visual Analytics LICENSE, please check Notice below.
The others are licensed under the terms of the Apache 2.0 license.
Source codes of the Web GUI are not yet fully opened due to some license issues from its submodules.
The purpose of personal use for commercial or non-commercial is allowed but only the redistribution is prohibited.
See the documentation about this license for more details.
We are working hard to solve these issues and soon it will be public.
This project exists thanks to all the people who contribute.
