scout-apm
Scout Application Performance Monitoring Agent
Decision gist · record as of 2026-08-14
Yes, if you are running Django, Flask, Celery, or one of the other supported frameworks and have an active Scout APM account. The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. The main prerequisite is a Scout service subscription to view the collected data; without it, the agent will collect metrics but have nowhere to send them.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Scout APM account and API key; Python 3.8 or later; the agent needs to be configured with valid credentials before it will transmit data.
- Low install friction with a pure-Python wheel and five common runtime dependencies.
- The package is actively maintained with a recent commit on 2026-08-10, and supports current Python versions (3.8 through 3.12).
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing use in commercial and open-source projects with minimal restrictions beyond attribution.
last release 2026-02-12 (183 days) · last repo commit 2026-08-10 · 77 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 161,459 downloads/mo, #10,631 on PyPI
Alternatives
Verify before relying
pip install scout-apm
import scout_apm.api
scout_apm.api.Config.set(name="MyApp", key="<SCOUT_KEY>")
scout_apm.api.Config.set(monitor=True)- Whether the agent has measurable performance overhead on typical workloads.
- How much data retention and query capability the free tier of Scout APM service provides.
- Whether instrumentation API works equally well for frameworks outside the listed integrations.
What it is and what it does
Scout APM is an application performance monitoring agent for Python web applications and workers. Once installed and configured, it automatically instruments Django, Flask, Celery, and several other frameworks to collect performance metrics and detailed transaction traces, which are then sent to Scout's cloud service for analysis and visualization.
The agent works by wrapping framework components and system calls to measure response times, database queries, and other performance-critical operations. It requires an active Scout APM account (or Heroku Addon) to view the collected data. For frameworks not in the built-in integration list, Scout provides an instrumentation API for manual integration.
Use it for
- Monitor response times and identify slow endpoints in Django or Flask production applications.
- Track Celery worker task performance and detect long-running or failing background jobs.
- Collect transaction traces to diagnose database query bottlenecks and N+1 problems.
- Correlate application performance with deployment changes and infrastructure metrics.
- Profile custom business logic using Scout's instrumentation API for unsupported frameworks.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are running Django, Flask, Celery, or one of the other supported frameworks and have an active Scout APM account.
The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. The main prerequisite is a Scout service subscription to view the collected data; without it, the agent will collect metrics but have nowhere to send them.
Install
scout-apm on PyPI
Before you install
Low install friction with a pure-Python wheel and five common runtime dependencies. The package is actively maintained with a recent commit on 2026-08-10, and supports current Python versions (3.8 through 3.12).
Requires a Scout APM account and API key; Python 3.8 or later; the agent needs to be configured with valid credentials before it will transmit data.
License in practice
MIT license is permissive, allowing use in commercial and open-source projects with minimal restrictions beyond attribution.
Quickstart
pip install scout-apm
import scout_apm.api
scout_apm.api.Config.set(name="MyApp", key="<SCOUT_KEY>")
scout_apm.api.Config.set(monitor=True)Verify before relying
- Whether the agent has measurable performance overhead on typical workloads.
- How much data retention and query capability the free tier of Scout APM service provides.
- Whether instrumentation API works equally well for frameworks outside the listed integrations.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesasgirefpsutilurllib3certifiwrapt |
| Maintenance | Actively maintained 183 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 161,459 / month, #10,631 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: BottleFramework :: DjangoFramework :: Django :: 3.2Framework :: Django :: 4.0Framework :: Django :: 4.1Framework :: Django :: 4.2Framework :: FlaskIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: MacOSOperating System :: POSIXOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: System :: Monitoring |
Evidence: scout_apm-3.5.3-py3-none-any.whl
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