Security News
PyPI’s New Archival Feature Closes a Major Security Gap
PyPI now allows maintainers to archive projects, improving security and helping users make informed decisions about their dependencies.
Monitor the performance of Python Django apps, Flask apps, and Celery workers with Scout's Python APM Agent. Detailed performance metrics and transaction traces are collected once the scout-apm
package is installed and configured.
Python 3.8+. For legacy Python versions, including 2.7 and 3.4+, pin scout-apm to <=2.26.1.
Scout APM has integrations for the following frameworks:
For other frameworks, you can use the agent's instrumentation API.
To use Scout, you'll need to sign up for an account or use our Heroku Addon.
For full installation instructions, including information on configuring Scout via environment variables and troubleshooting, see our Python docs.
Please email us at support@scoutapm.com or create a GitHub issue.
FAQs
Scout Application Performance Monitoring Agent
We found that scout-apm demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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PyPI now allows maintainers to archive projects, improving security and helping users make informed decisions about their dependencies.
Research
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