Docker image containing the following Data Science notebooks Jupyter, RStudio and Apache Zeppelin. This also contains Apache Spark and Apache Mesos for Spark job submission locally or on a Mesos cluster.
To build the image, clone this repo and run code below.
docker build -t kuwaderno:mesos mesos
If you would not like to build this repository you can use the built image on docker hub.
docker run -d -p 8787:8787 -p 7777:7777 -p 8888:8888 paulganzon/kuwaderno:mesos
Using bridge networking
docker run -d -p 8787:8787 -p 7777:7777 -p 8888:8888 kuwaderno:mesos
or using host networking
docker run -d --net=host kuwaderno:mesos
If you wish to change the port on host networking you can run the following instead.
docker run -d -e PORT0=<rstudio.server.port> -e PORT1=<jupyter.port> -e PORT2=<zeppelin.port> --net=host kuwaderno:mesos
After the execution of the code above the following applications should now be accessible.
- Rstudio Server - http://ip.address:8787/
- Jupyter - http://ip.address:7777/
- Apache Zeppelin - http://ip.address:8888/
Default user and password to access the url are as follows:
- User: admin
- Password: 14mR00t!
You can change both of the user name and password by using the environment variables NB_USER and NB_USER_PASS. For example, if you want the user to be user1 and password1 then run the following:
docker run -d -e NB_USER=user1 -e NB_USER_PASS=password1 --net=host kuwaderno:mesos
| Application | Version |
|---|---|
| Rstudio Server | 1.0.143 |
| Jupyter | 4.3.0 |
| Apache Zeppelin | 0.7.1 |
| Apache Spark | 2.1.0 |
| Apache Mesos | 1.1.0-2.0.107 |
- dplyr
- ggplot2
- plotly
- stringr
- lubridate
- reshape2
- gmodels
- httr
- BoomSpikeSlab
- dygraphs
- shiny
- RJDBC
- markdown
- knitr
- rmarkdown
- devtools
- data.table
- CausalImpact
- ipython
- jupyter
- pandas
- requests
- plotly
- cufflinks
- scipy