Sean Whalen caac8e68f0 docs: note DMARC RFC support in the features list (#778)
* docs: note DMARC RFC support in the features list

The features list only mentioned "draft and 1.0" aggregate reports. Spell
out the standards parsedmarc parses: RFC 7489 (legacy DMARC) and the final
DMARC standard RFC 9989 with RFC 9990 aggregate reports, RFC 6591 and
RFC 9991 failure reports, and RFC 8460 SMTP TLS reports.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: align Python compatibility table pipes (MD060)

The emoji cells were padded for display width, leaving the source pipes
misaligned by character count and tripping markdownlint MD060. Re-pad so
every row's pipes line up by codepoint.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: list all optional output destinations; fix table emoji alignment

Expand the features list to cover every output sink: Elasticsearch,
OpenSearch, Splunk, and PostgreSQL (premade dashboards), plus Kafka,
Amazon S3, Azure Log Analytics (Microsoft Sentinel), Graylog (GELF),
syslog, and HTTP webhooks.

Also re-pad the Python compatibility table using display width (the
status emoji render two columns wide), which is what markdownlint MD060
measures — the previous codepoint-based padding still tripped the rule.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: separate PostgreSQL from the premade-dashboards clause

PostgreSQL is a storage target without bundled premade dashboards, so it
shouldn't sit inside the "for use with premade dashboards" phrase next to
Elasticsearch/OpenSearch/Splunk.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: move PostgreSQL to the non-dashboard outputs line

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: use compact markdown tables

Switch the markdown tables (Python compatibility, env-var section mapping)
to compact single-space format. It reads cleanly in a text editor and
sidesteps the column-alignment churn that emoji/variable-width content
caused with padded tables (markdownlint MD060). The reStructuredText grid
table in dmarc.md is left as-is — it relies on multi-line cells markdown
can't express.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-21 13:41:16 -04:00
2026-05-03 12:36:06 -04:00
2025-12-12 15:56:52 -05:00
2026-03-23 17:08:26 -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 is a 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, or Splunk, for use with premade dashboards
  • Optionally send the results to PostgreSQL, 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-2.0 176 MiB
Languages
Python 98.3%
Shell 1.7%