Skip to main content

A web server for spawning and communicating with Jupyter kernels

Project description

Jupyter Kernel Gateway

Google Group PyPI version Build Status Documentation Status

Overview

Jupyter Kernel Gateway is a web server that provides headless access to Jupyter kernels. Your application communicates with the kernels remotely, through REST calls and Websockets rather than ZeroMQ messages. There are no provisions for editing notebooks through the Kernel Gateway. The following operation modes, called personalities, are supported out of the box:

  • Send code snippets for execution using the Jupyter kernel protocol over Websockets. Start and stop kernels through REST calls. This HTTP API is compatible with the respective API sections of the Jupyter Notebook server.

  • Serve HTTP requests from annotated notebook cells. The code snippets are cells of a static notebook configured in the Kernel Gateway. Annotations define which HTTP verbs and resources it supports. Incoming requests are served by executing one of the cells in a kernel.

Jupyter Kernel Gateway uses the same code as Jupyter Notebook to launch kernels in its local process/filesystem space. It can be containerized and scaled out using common technologies like tmpnb, Cloud Foundry, and Kubernetes.

Example Uses of Kernel Gateway

  • Attach a local Jupyter Notebook server to a compute cluster in the cloud running near big data (e.g., interactive gateway to Spark)
  • Enable a new breed of non-notebook web clients to provision and use kernels (e.g., web dashboards using jupyter-js-services)
  • Create microservices from notebooks using the Kernel Gateway notebook-http mode

Features

See the Features page in the documentation for a list of the Jupyter Kernel Gateway features.

Installation

Detailed installation instructions are located in the Getting Started page of the project docs. Here's a quick start using pip:

# install from pypi
pip install jupyter_kernel_gateway

# show all config options
jupyter kernelgateway --help-all

# run it with default options
jupyter kernelgateway

Contributing

The Development page includes information about setting up a development environment and typical developer tasks.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jupyter_kernel_gateway-3.0.1.tar.gz (54.6 kB view details)

Uploaded Source

Built Distribution

jupyter_kernel_gateway-3.0.1-py3-none-any.whl (53.0 kB view details)

Uploaded Python 3

File details

Details for the file jupyter_kernel_gateway-3.0.1.tar.gz.

File metadata

File hashes

Hashes for jupyter_kernel_gateway-3.0.1.tar.gz
Algorithm Hash digest
SHA256 900690c4c0e796867355468d685f7fa1cf3c7775d08e871c157f77d65fbd6d7f
MD5 a70befcd0425603d3756ed98d310af05
BLAKE2b-256 0ff46672cae9f6f36be7566496dbe2f78a8e39d4db73b36c2911c83320dd7027

See more details on using hashes here.

File details

Details for the file jupyter_kernel_gateway-3.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for jupyter_kernel_gateway-3.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9f74a2f4ff9f03737bcab79f44ae0f6473ee32deb30fce00b8f05adcdd023f03
MD5 498e1573ac5652bd9025d4772e0e41fe
BLAKE2b-256 3da2e0a4616fde099b71ef996e5ae117451bc80b15f89807d1f3db9298644209

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page