sagemaker-run-notebook
elyra
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| sagemaker-run-notebook | elyra | |
|---|---|---|
| 2 | 2 | |
| 139 | 1,773 | |
| -0.7% | 1.7% | |
| 0.0 | 6.4 | |
| 7 months ago | 5 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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sagemaker-run-notebook
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Experience migrating from Databricks to various AWS services
Notebooks are more of a tech/design debt. Job was originally created in notebooks and never refactored into a more maintainable solution. Do you have a recommendation on services to use with the papermill library? I saw the Sagemaker Convenience Package seems to rely on this a bit, but seems a little out of place for Sagemaker.
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Parameters for Jupyterlab GUI notebook scheduler using sagemaker-run-notebook
I am used to working on jupyter notebooks and have some experience with python scripting for extracting data. I created a notebook that extracts comments, runs sentiment analysis, and dumps data to S3- however, I am struggling with the CRON aspect of things. I want to automate running of the script every day at a set time. I am using the sagemaker-run-notebook package to do this, specifically using the GUI Jupyterlab extension. However, I am not sure what the parameters need to be. I tried a few combinations, and this is my best guess at the values. I am getting a JSON error, which I am not sure I understand. Can someone with experience working with on the sagemaker-run-notebook extension please help me out?
elyra
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Introducing Elyra pipelines with custom component support
The Elyra open source project for JupyterLab aims to simplify common data science tasks. Its most popular feature is the Visual Pipeline Editor, which is used to create pipelines without the need for coding. You can run these pipelines in JupyterLab or on Kubeflow Pipelines or Apache Airflow.
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What's new in Elyra 2.0
During the past year we have received many suggestions and feedback from users like you. We appreciate your input and encourage you to stay involved. Open GitHub issues, reach out on gitter, post in our new forum, or join our weekly community meeting.
What are some alternatives?
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
spotty - Training deep learning models on AWS and GCP instances
argo - Workflow Engine for Kubernetes
ipycanvas - Interactive Canvas in Jupyter
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
jupyterlab_templates - Support for jupyter notebook templates in jupyterlab
ipyflow - A reactive Python kernel for Jupyter notebooks.
sagemaker-distribution - A set of Docker images that include popular frameworks for machine learning, data science and visualization.
airflow-docker - Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)
debugger - A visual debugger for Jupyter notebooks, consoles, and source files
xeus-python - Jupyter kernel for the Python programming language