Component based analytics studio on the web browser
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 http://www.brightics.ai
The Brightics Studio Docker image is available on Docker Hub.
brew install graphviz
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-\-\.exe : for windows BrighticsStudio-\-\.sh : for linux and mac
Details of the directory is as follows:
/brightics-studio/brightics-server : core home /brightics-studio/visual-analytics : GUI home /brightics-studio/lib : external libs
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 and mac
If a new version is released, you should move these files to newer version of brightics-studio to maintain data and projects.
Or download "BrighticsStudio-<version>-<os name>-patch" and run this from the location of Brightics Studio installation.
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.
Brightics Studio is now available from AWS Marketplace(https://aws.amazon.com/marketplace/pp/B07P4399PD).
It just takes only 1~2 minutes to setup EC2 and launch Brightics Studio.
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.
SET JAVA_HOME= SET PYTHON_HOME= SET NODEJS_HOME= SET PATH=%PATH;%PYTHON_HOME%\bin;%JAVA_HOME%\bin;%NODEJS_HOME%\bin
for linux-like systems:
export JAVA_HOME= export PYTHON_HOME= export NODEJS_HOME= export PATH=$PATH:$PYTHON_HOME/bin:$JAVA_HOME/bin:$NODEJS_HOME/bin
Most common cases you don't need to set above parameters because those projects automatically add paths during their installation process.
Build a package with maven.
mvn clean package -DskipTests [Options]
When the build process is finished, a distribution will be created under build/target/dist directory.
pip -r brightics-studio\lib\requirements.txt
Some of python packages need Microsoft Visual C++ Build Tools.
Please make sure Microsoft Visual C++ 14.0 installed when you run the setup command in windows.
Reference : Python wiki for WindowsCompilers
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.
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]