Elyra extends JupyterLab with an AI centric approach.
docker pull elyra-ai/elyra:latest
docker run -d --name elyra --restart always elyra-ai/elyra:latest
podman run -d --name elyra --restart always elyra-ai/elyra:latest
skopeo inspect docker://docker.io/elyra-ai/elyra:latest
oras pull elyra-ai/elyra:latest
# syntax=docker/dockerfile:experimental
#
# Copyright 2018-2026 Elyra Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Ubuntu 22.04 LTS (Jammy Jellyfish)
# Repository: https://github.com/kubeflow/kubeflow/tree/master/components/example-notebook-servers
FROM ghcr.io/kubeflow/kubeflow/notebook-servers/jupyter:v1.8.0
ARG TAG="dev"
ARG ELYRA_VERSION
ARG ELYRA_PACKAGE=elyra-"$ELYRA_VERSION"-py3-none-any.whl
# - Include with KFP support and component examples ('kfp-examples')
ARG ELYRA_EXTRAS=[kfp,kfp-examples,airflow-gitlab]
# Includes the readme as a token file for COPY that always exists, otherwise production builds fail when whl not present
COPY README.md ${ELYRA_PACKAGE}* ./
USER root
RUN chown jovyan:users ./"${ELYRA_PACKAGE}"
USER jovyan
# Update pip
RUN python3 -m pip install --upgrade pip
# Install Elyra
RUN python3 -m pip install --quiet --no-cache-dir "$ELYRA_PACKAGE""$ELYRA_EXTRAS"
# Create and customize Elyra config file to enable only KFP runtime
RUN jupyter elyra --generate-config
RUN sed -i -e "s/# c.PipelineProcessorRegistry.runtimes = \[\]/c.PipelineProcessorRegistry.runtimes = \['kfp'\]/g" $(jupyter --config-dir)/jupyter_elyra_config.py
# Cleanup
USER root
RUN rm -f README.md ${ELYRA_PACKAGE}
USER jovyan
# Install component examples catalog
# - this will fail if the 'kfp-examples' pip extra is not installed
RUN elyra-metadata create component-catalogs \
--schema_name=elyra-kfp-examples-catalog \
--display_name="Kubeflow Pipelines examples" \
--runtime_type=KUBEFLOW_PIPELINES \
--categories="['examples']"