dcos-jupyter-service
JupyterLab Notebook Docker Image tailored for Mesosphere DC/OS
Docker images built with the Dockerfile herein will enable support for:
Apache Spark™ is a unified analytics engine for large-scale data processing.
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more.
Dask is a flexible parallel computing library for analytic computing.
Dask.distributed is a lightweight library for distributed computing in Python. It extends both the concurrent.futures and dask APIs to moderate sized clusters.
JupyterLab is the next-generation web-based user interface for
Project Jupyter.
Tensors and Dynamic neural networks in Python with strong GPU acceleration. PyTorch is a deep learning framework for fast, flexible experimentation.
Ray is a flexible, high-performance distributed execution framework. * Ray Tune: Hyperparameter Optimization Framework * Ray RLlib: Scalable Reinforcement Learning
TensorFlow™ is an open source software library for high performance numerical computation.
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more.
Also includes support for:
- OpenID Connect Authentication and Authorization based on email address or User Principal Name (UPN) (for Windows Integrated Authentication and AD FS 4.0 with Windows Server 2016)
- HDFS connectivity
- S3 connectivity
- GPUs with the
<image>:<tag>-gpu Docker Image variant built from Dockerfile-cuDNN
Mesosphere Jupyter Service Docker Images for Mesosphere DC/OS: https://hub.docker.com/r/mesosphere/mesosphere-jupyter-service/tags/
Related Docker Images:
- Apache Spark and Machine Learning Worker for Mesosphere DC/OS: https://hub.docker.com/r/mesosphere/mesosphere-data-toolkit/tags/
Built
FROM: debian:jessie with
Miniconda3
Made possible by and/or for:
