opentelemetry-instrumentation-pymongo
OpenTelemetry pymongo instrumentation
Decision gist · record as of 2026-08-14
Yes, if you are already using OpenTelemetry in your application and need to instrument pymongo. The package is actively maintained, has low install friction, and carries a permissive license. The beta version status warrants checking release notes before production use, but the recent activity and top-5000 popularity suggest it is stable enough for most use cases.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; pymongo must be installed separately in your application.
- Low friction install with three stable runtime dependencies.
- Active maintenance as of 2026-07-16, repository shows recent activity.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
last release 2026-07-16 (29 days) · last repo commit 2026-08-14 · 1,086 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 5,413,763 downloads/mo, #2,105 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-pymongo
from opentelemetry.instrumentation.pymongo import PymongoInstrumentor
PymongoInstrumentor().instrument()- Whether this package automatically instruments existing pymongo connections or requires explicit setup per connection.
- What span attributes and metrics are captured for different pymongo operations (find, insert, update, delete).
- Whether the beta status (0.65b0) indicates known limitations or breaking changes expected before 1.0.
What it is and what it does
This package integrates pymongo with OpenTelemetry, the industry-standard observability framework. It automatically captures database operations as distributed traces, allowing you to see MongoDB queries alongside other application telemetry in your observability backend. The instrumentation depends on opentelemetry-api, opentelemetry-instrumentation, and opentelemetry-semantic-conventions to provide the tracing infrastructure.
It's designed for applications that already use OpenTelemetry for application-wide observability and need to extend that visibility into their MongoDB layer. Once installed and initialized, it intercepts pymongo calls and emits spans with operation details, timing, and status information compatible with standard OpenTelemetry exporters.
Use it for
- Add MongoDB query tracing to a microservice already instrumented with OpenTelemetry.
- Correlate slow database operations with application performance issues in a distributed system.
- Export pymongo activity to a centralized observability platform like Jaeger or Datadog.
- Debug application behavior by viewing the full trace of database operations in context.
- Monitor database performance and query patterns across your fleet of services.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using OpenTelemetry in your application and need to instrument pymongo.
The package is actively maintained, has low install friction, and carries a permissive license. The beta version status warrants checking release notes before production use, but the recent activity and top-5000 popularity suggest it is stable enough for most use cases.
Install
opentelemetry-instrumentation-pymongo on PyPI
Before you install
Low friction install with three stable runtime dependencies. Active maintenance as of 2026-07-16, repository shows recent activity.
Requires Python 3.10 or later; pymongo must be installed separately in your application.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
Quickstart
pip install opentelemetry-instrumentation-pymongo
from opentelemetry.instrumentation.pymongo import PymongoInstrumentor
PymongoInstrumentor().instrument()Verify before relying
- Whether this package automatically instruments existing pymongo connections or requires explicit setup per connection.
- What span attributes and metrics are captured for different pymongo operations (find, insert, update, delete).
- Whether the beta status (0.65b0) indicates known limitations or breaking changes expected before 1.0.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesopentelemetry-apiopentelemetry-instrumentationopentelemetry-semantic-conventions |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 5,413,763 / month, #2,105 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: opentelemetry_instrumentation_pymongo-0.65b0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “pymongo tracing”
- opentelemetry-instrumentation-pymongoAdds automatic tracing and observability instrumentation for pymongo…
- pymongoexplainWraps PyMongo's Collection class to explain database operations…
- pymongoPyMongo is the official MongoDB Python driver, providing synchronous…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also opentelemetry-instrumentation-psycopg · opentelemetry-instrumentation-pymssql · opentelemetry-instrumentation-jinja2 · opentelemetry-instrumentation-celery · opentelemetry-instrumentation-pyramid · opentelemetry-instrumentation-pymysql · opentelemetry-instrumentation-remoulade · opentelemetry-instrumentation-django · opentelemetry-instrumentation-system-metrics · opentelemetry-instrumentation-elasticsearch