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jupyter-jaeger
Advanced tools
This adds support for using the Jaeger distributed tracing tool with Jupyter. It facilitates the use case of tracking some process that starts in a kernel and is continued in a mime renderer.
We are using it to profile and debug ibis-vega-transform
which goes back and forth between the kernel and the frontend to interactively render charts with Altair.
Installing this adds two Jupyter server extensions that start up the jaeger-all-in-one
and jaeger-browser
processes when you launch Jupyter.
So to use it you must first instrument code in your kernel and/or in the frontend to record traces.
It also provis a NPM Typescript plugin you can use to access the client from inside a JupyterLab extension.
# Install jaeger-all-in-one binary
conda install -c conda-forge jaeger
# Install this package
pip install jupyter-jaeger
# Optional, to see Jaeger icon in JupyterLab launcherr
jupyter labextension install jupyterlab-server-proxy-saulshanabrook
# Launch a Jupyter server
jupyter lab
# Open the jaeger UI
open http://localhost:8080/jaeger
This repo also includes an example of starting a trace from a kernel and continueing it in a mimeredenr jupyterlab extension,
in ./example
. You can try this example by:
FAQs
A library for saving traces to jaeger
The npm package jupyter-jaeger receives a total of 3 weekly downloads. As such, jupyter-jaeger popularity was classified as not popular.
We found that jupyter-jaeger demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
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