| Name | parsedmarc JSON |
| Version |
8.11.0
JSON |
| download |
| home_page | None |
| Summary | A Python package and CLI for parsing aggregate and forensic DMARC reports |
| upload_time | 2024-04-02 16:36:05 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | None |
| keywords |
dmarc
parser
reporting
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# parsedmarc
[](https://github.com/domainaware/parsedmarc/actions/workflows/python-tests.yml)
[](https://codecov.io/gh/domainaware/parsedmarc)
[](https://pypi.org/project/parsedmarc/)
[](https://pypistats.org/packages/parsedmarc)
<p align="center">
<img src="https://github.com/domainaware/parsedmarc/raw/master/docs/source/_static/screenshots/dmarc-summary-charts.png?raw=true" alt="A screenshot of DMARC summary charts in Kibana"/>
</p>
`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.
## Help Wanted
This project is maintained by one developer. Please consider
reviewing the open
[issues](https://github.com/domainaware/parsedmarc/issues) to see how
you can contribute code, documentation, or user support. Assistance on
the pinned issues would be particularly helpful.
Thanks to all
[contributors](https://github.com/domainaware/parsedmarc/graphs/contributors)!
## Features
- Parses draft and 1.0 standard aggregate/rua reports
- Parses forensic/failure/ruf reports
- 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 and/or Splunk, for use
with premade dashboards
- Optionally send reports to Apache Kafka
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