a5a5b45a50 Unify DMARC pass/fail chart naming on "DMARC compliance" (#865)
* Unify DMARC pass/fail chart naming on "DMARC compliance"

The same metric had three names across the dashboards: the pass/fail
pie chart was "Passed DMARC" (OpenSearch, Splunk) and "DMARC Passage"
(Grafana), while the per-domain table column added in #834 was
"% DMARC Compliant". Converge on the compliance wording, which already
anchored the "Message volume and DMARC compliance by from domain"
panels in every dashboard family:

- Pie chart: "DMARC compliance" ("DMARC Compliance" in Grafana, which
  title-cases panel names; OpenSearch and Splunk use sentence case).
- Line chart: "DMARC passage over time" -> "DMARC compliance over
  time" everywhere, so the pie rename doesn't leave the same
  inconsistency one panel down.
- Splunk filter dropdown label: "Passed DMARC" -> "DMARC compliant".
- Grafana Guide panel text and docs/source/kibana.md prose updated to
  match, plus a pre-existing typo fix ("pie charts. you").

Field names, tokens, and queries (passed_dmarc / dmarc_passed) are
untouched; only human-facing titles, labels, and prose changed.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* Fix "pie charts. you" typo in the Grafana Guide panel text

The period-for-comma typo fixed in docs/source/kibana.md also existed
in the Grafana Guide panel markdown, in both duplicated copies of the
guide text (content and options.content). Caught by Copilot review on
PR #865.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* Sync the Grafana Guide panel walkthrough with the current panels

The Guide text described a three-column table layout with a from-domain
list "on the right" and directed readers to a "Message From Header"
table, but the dashboard has two table columns (Reporting Organisations
on the left; Top 2000 Message Sources by Reverse DNS on the right with
Message volume and DMARC compliance by from domain below it) and no
Message From Header table. Point the walkthrough at the real panel
titles and mention the per-domain compliance percentage the table
shows, mirroring the kibana.md walkthrough updated in #834. Both
duplicated copies of the guide markdown (content and options.content)
remain identical.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* Scope the CHANGELOG rename claim to dashboards that have the charts

The bullet said the pass/fail charts were renamed "across the ...
Grafana dashboards", but the PostgreSQL Grafana variant has no
pass/fail pie or over-time chart, so the claim quantified over a
dashboard it doesn't apply to. Name the affected dashboards explicitly
and note the PostgreSQL variant is unchanged. Caught by Copilot review
on PR #865.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-26 18:13:06 -04:00
2018-02-05 20:23:07 -05:00
2022-10-04 18:45:57 -04:00
2026-03-09 18:24:16 -04:00

parsedmarc

Build
Status Code
Coverage PyPI
Package PyPI - Downloads

A screenshot of DMARC summary charts in Kibana

parsedmarc is a Python module and CLI utility for parsing DMARC reports. When used with Elasticsearch and Kibana (or Splunk), it works as a self-hosted open-source alternative to commercial DMARC report processing services such as Agari Brand Protection, Dmarcian, OnDMARC, ProofPoint Email Fraud Defense, and Valimail.

Note

Domain-based Message Authentication, Reporting, and Conformance (DMARC) is an email authentication protocol.

Sponsors

This project is maintained by one developer. Please consider sponsoring my work if you or your organization benefit from it.

Features

  • Parses aggregate/rua DMARC reports: the legacy draft and 1.0 schemas (RFC 7489) and the new RFC 9990 schema for the final DMARC standard (RFC 9989)
  • Parses failure/ruf DMARC reports (RFC 6591 and RFC 9991; formerly called forensic reports)
  • Parses reports from SMTP TLS Reporting (TLS-RPT, RFC 8460)
  • Can parse reports from an inbox over IMAP, Microsoft Graph, or Gmail API
  • Transparently handles gzip or zip compressed reports
  • Consistent data structures
  • Simple JSON and/or CSV output
  • Optionally email the results
  • Optionally send the results to Elasticsearch, OpenSearch, Splunk, or PostgreSQL, for use with premade dashboards
  • Optionally send the results to Apache Kafka, Amazon S3, Azure Log Analytics (Microsoft Sentinel), a Graylog (GELF) endpoint, a syslog server, or an HTTP webhook

Python Compatibility

This project supports the following Python versions, which are either actively maintained or are the default versions for RHEL or Debian.

Version Supported Reason
< 3.6 End of Life (EOL)
3.6 Used in RHEL 8, but not supported by project dependencies
3.7 End of Life (EOL)
3.8 End of Life (EOL)
3.9 Used in Debian 11 and RHEL 9, but not supported by project dependencies
3.10 Actively maintained
3.11 Actively maintained; supported until June 2028 (Debian 12)
3.12 Actively maintained; supported until May 2035 (RHEL 10)
3.13 Actively maintained; supported until June 2030 (Debian 13)
3.14 Supported (requires imapclient>=3.1.0)
S
Description
No description provided
Readme Apache-2.0
281 MiB
Languages
Python 98.6%
Shell 1.3%