logalizer
Export Kibana logs as CSV from the command line — via the Kibana 7.17 Reporting API. No third-party dependencies (pure Python stdlib).
logalizer authenticates to Kibana with basic auth, submits a CSV reporting
job, polls until it completes, and writes the result to stdout or a file. It is
built for both humans and scripts: clean exit codes and a strict stdout/stderr
separation so logalizer ... > out.csv always yields only CSV on stdout.
Install
pip install logalizer
Requires Python 3.10+.
Configure
logalizer --init
Interactive wizard that validates your credentials and lets you pick a space and index pattern from live lists. Or set environment variables:
export KIBANA_URL=https://...
export KIBANA_USERNAME=...
export KIBANA_PASSWORD=...
Usage
# test connectivity and configuration
logalizer --ping
# discover what's available
logalizer --list-spaces
logalizer --list-indices --space <space>
logalizer --list-fields --index '<pattern>'
# export logs as CSV
logalizer -i '<index-pattern>' --query 'level:error' --last 24h \
--fields '@timestamp,level,msg' -o errors.csv
Run logalizer --help for the full reference and logalizer --help-json for a
machine-readable flag schema.
Release
Publishing is automated via GitHub Actions Trusted Publishing.
One-time setup on PyPI: project settings → Publishing → add a "pending
publisher" with owner isdmx, repository logalizer, workflow publish.yml,
environment pypi.
To cut a release, either use the GitHub Actions UI (Actions → "Release" → "Run workflow", enter a version like 0.1.0) or from a local checkout:
git tag v0.1.0
git push --tags
Either way, CI builds the sdist + wheel and uploads them to PyPI automatically.
License
MIT
1 maintainer
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