| Name | parsedmarc JSON |
| Version |
8.17.0
JSON |
| download |
| home_page | None |
| Summary | A Python package and CLI for parsing aggregate and forensic DMARC reports |
| upload_time | 2025-01-10 14:06:23 |
| 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.
> [!NOTE]
> __Domain-based Message Authentication, Reporting, and Conformance__ (DMARC) is an email authentication protocol.
## 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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"description": "# parsedmarc\n\n[](https://github.com/domainaware/parsedmarc/actions/workflows/python-tests.yml)\n[](https://codecov.io/gh/domainaware/parsedmarc)\n[](https://pypi.org/project/parsedmarc/)\n[](https://pypistats.org/packages/parsedmarc)\n\n<p align=\"center\">\n <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\"/>\n</p>\n\n`parsedmarc` is a Python module and CLI utility for parsing DMARC\nreports. When used with Elasticsearch and Kibana (or Splunk), it works\nas a self-hosted open-source alternative to commercial DMARC report\nprocessing services such as Agari Brand Protection, Dmarcian, OnDMARC,\nProofPoint Email Fraud Defense, and Valimail.\n\n> [!NOTE]\n> __Domain-based Message Authentication, Reporting, and Conformance__ (DMARC) is an email authentication protocol.\n\n## Help Wanted\n\nThis project is maintained by one developer. Please consider\nreviewing the open\n[issues](https://github.com/domainaware/parsedmarc/issues) to see how\nyou can contribute code, documentation, or user support. Assistance on\nthe pinned issues would be particularly helpful.\n\nThanks to all\n[contributors](https://github.com/domainaware/parsedmarc/graphs/contributors)!\n\n## Features\n\n- Parses draft and 1.0 standard aggregate/rua reports\n- Parses forensic/failure/ruf reports\n- Can parse reports from an inbox over IMAP, Microsoft Graph, or Gmail\n API\n- Transparently handles gzip or zip compressed reports\n- Consistent data structures\n- Simple JSON and/or CSV output\n- Optionally email the results\n- Optionally send the results to Elasticsearch and/or Splunk, for use\n with premade dashboards\n- Optionally send reports to Apache Kafka\n",
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