napalm-automation/napalm-logs
Napalm-logs is a Python-based syslog parsing and publishing service that transforms raw network device logs into structured OpenConfig or IETF YANG models. It features a multi-process architecture with pluggable components for listening (TCP, UDP, ZMQ, Kafka), buffering (memory, Redis), and transport (HTTP, Kafka, Prometheus), allowing flexible integration with various backends. The system supports secure client authentication and provides comprehensive test coverage for a wide range of network operating systems, including Cisco IOS/IOS-XR, Juniper Junos, Arista EOS, and Fortinet.
55.4
Adequate · 4 August 2026
5.4k
lines of production code
Python
primary language
1
bus factor · 31 authors in all
4
measurements over time
How it got here
2017 · Initial release and architecture design
This period marks the initial release of the napalm-logs project, establishing its core Python library and multi-process architecture. The work focused on building a pluggable system for parsing and publishing syslog messages, supported by comprehensive test coverage for various network operating systems.
32 changes
2018 · Pluggable architecture and test coverage expansion
The project introduced a pluggable serializer and buffer system, allowing users to select output formats and caching backends. Concurrently, extensive test coverage was added across multiple network platforms to validate log parsing and state mapping for various interface and protocol events.
16 changes
2019–2022 · Test coverage expansion
This period focused on expanding test coverage across multiple network operating systems, including Junos, EOS, NXOS, SONiC, and Fortinet. The work involved adding new test fixtures and expected outputs for various error states, syslog messages, and lifecycle events to ensure accurate parsing and validation.
16 changes
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About this page
- The description of this project is derived from its own commit history, not from its README.
- The score is its highest published measurement, taken on 4 August 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
- Measured at commit 1f7b06f808 — the exact code this score is about.
- Scored under rubric rubric-2026.08.19. Score the same commit under that rubric and you get the same number.