Rethinking audit trails in Django (structured and database-free)
We were using django-easy-audit to track CRUD and API events in Django. The problem: every action meant an extra database write, which slowed transactions, increased infra costs, and left us with audit tables that weren’t great for analytics. I built django-activity-audit (PyPI) to fix this: - Extends Django’s logging system with custom AUDIT and API levels. - Captures CRUD + API request/response events as structured JSON logs. - Vector tails the logs and ships them into ClickHouse. - Grafana makes them queryable and visual. This removes the extra DB writes, gives structured data ready…
What it does
In the maker’s words, at launch
We were using django-easy-audit to track CRUD and API events in Django. The problem: every action meant an extra database write, which slowed transactions, increased infra costs, and left us with audit tables that weren’t great for analytics. I built django-activity-audit (PyPI) to fix this: - Extends Django’s logging system with custom AUDIT and API levels. - Captures CRUD + API request/response events as structured JSON logs. - Vector tails the logs and ships them into ClickHouse. - Grafana makes them queryable and visual. This removes the extra DB writes, gives structured data ready for analysis, and keeps costs down. Curious — how are others handling audit logging in Django (or other frameworks)? Do you log it, write it to a DB, or something else entirely?
Does the same job
all alternatives →

- SASilk, a profiling tool for Django2014 · mtford.co.uk · ▲113

- DSDjango SQL Dashboard2021 · django-sql-dashboard.datasette.io · ▲204
- DEDjango Easy Logging2022 · github.com · ▲5
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Launched alongside, October 2025
the whole month →

- SA
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