r7insight-python

What it is and what it does

r7insight-python is a Python logging handler that integrates with Rapid7 Insight, a cloud-based IT operations platform. It allows you to ship application logs asynchronously to Rapid7 and optionally decorate functions to capture execution time, CPU usage, and memory statistics. You configure it by providing a Rapid7 account token and region, then add it as a standard Python logging handler. The library handles TLS encryption by default and can fall back to plaintext on port 80 if needed.

The package is designed for teams already using Rapid7 Insight who want centralized log aggregation and performance monitoring from Python applications. It works with both Python 2 and 3 according to its classifiers, though the exact version support is not formally specified. Since the project is marked dormant, it receives no active maintenance or updates.

Use it for:

• Ship application logs from a Python service to Rapid7 Insight for centralized monitoring and alerting.
• Decorate long-running functions to automatically log their execution time and resource usage to Rapid7.
• Integrate Python logging into an existing Rapid7 IT operations workflow without custom shipping logic.
• Monitor CPU and memory consumption of specific functions across a distributed Python application.
• Replace or supplement local file logging with cloud-based log storage via Rapid7's token-authenticated endpoint.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Sends Python application logs and performance metrics (execution time, CPU, memory) to Rapid7 Insight via an asynchronous logging handler.

Yes, if you are already a Rapid7 Insight customer and need Python logging integration. The low install friction and permissive license make it straightforward to add. However, the dormant maintenance status means you should verify compatibility with your current Rapid7 API version and Python environment before relying on it in production—expect no upstream fixes if issues arise.

Install

r7insight-python on PyPI

pip install r7insight-python

uv add r7insight-python

poetry add r7insight-python

Installing r7insight-python

Before you install

Low install friction with a single runtime dependency (certifi). Maintenance status is dormant—last release was 541 days ago—so expect no active bug fixes or feature updates.

License in practice

Licensed under MIT (permissive), so you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.

Quickstart

pip install r7insight-python

import logging
from r7insight import R7InsightHandler

log = logging.getLogger('r7insight')
log.setLevel(logging.INFO)
handler = R7InsightHandler(TOKEN, REGION)
log.addHandler(handler)
log.info("Test message")

You must have a Rapid7 Insight account with a token and know your log region (e.g., 'eu', 'us') before the handler can send logs.

Verify before relying

• Whether the package still works reliably with current Rapid7 Insight API endpoints and authentication schemes
• Python version compatibility details beyond the classifiers (2 and 3 listed, but no requires_python constraint specified)
• Whether TLS fallback behavior and port 443/80 routing remain stable with modern network environments

Package facts

Evidence: r7insight_python-1.0.1-py3-none-any.whl

Tags

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