opentelemetry-propagator-jaeger
OpenTelemetry Jaeger Propagator
Decision gist · record as of 2026-08-14
Yes, if you are using OpenTelemetry for instrumentation and Jaeger as your distributed tracing backend. This is a lightweight, actively maintained, production-stable propagator with no known vulnerabilities and permissive licensing. Install it to enable trace correlation across your services; without it, trace context will not propagate correctly to Jaeger.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; opentelemetry-api must be installed as a runtime dependency.
- Low installation friction with a single runtime dependency (opentelemetry-api).
- Actively maintained with a recent release (29 days old) and current commit history.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-07-16 (29 days) · last repo commit 2026-08-14 · 2,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,216,313 downloads/mo, #2,697 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-propagator-jaeger
from opentelemetry.propagators.jaeger import JaegerPropagator
from opentelemetry.propagate import set_global_textmap
set_global_textmap(JaegerPropagator())- Whether this propagator is automatically registered or requires explicit configuration in all deployment scenarios.
- Compatibility with Jaeger client versions beyond 1.21 and any breaking changes in newer Jaeger propagation formats.
What it is and what it does
This package implements the Jaeger trace propagation format for OpenTelemetry, a standardized way to pass distributed trace context (trace ID, span ID, sampling decision) across service boundaries. It acts as a bridge between OpenTelemetry's instrumentation framework and Jaeger's tracing backend, allowing traces to be correlated when requests flow through multiple services.
The propagator works by encoding and decoding trace context in HTTP headers and other transport mechanisms using Jaeger's wire format. It integrates with OpenTelemetry's global propagation system, so once installed and configured, it automatically handles context propagation without requiring changes to application code. This is essential for observability in microservices architectures where you need to follow a single user request across multiple services.
Use it for
- Correlate traces across microservices using Jaeger as the tracing backend in an OpenTelemetry-instrumented system.
- Propagate trace context through HTTP headers when calling downstream services to maintain end-to-end trace visibility.
- Integrate legacy Jaeger-instrumented services with new OpenTelemetry-based services in the same observability pipeline.
- Enable distributed tracing in containerized or Kubernetes environments where Jaeger is the centralized trace collector.
- Support trace sampling decisions across service boundaries to control observability overhead in high-traffic systems.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using OpenTelemetry for instrumentation and Jaeger as your distributed tracing backend.
This is a lightweight, actively maintained, production-stable propagator with no known vulnerabilities and permissive licensing. Install it to enable trace correlation across your services; without it, trace context will not propagate correctly to Jaeger.
Install
opentelemetry-propagator-jaeger on PyPI
Before you install
Low installation friction with a single runtime dependency (opentelemetry-api). Actively maintained with a recent release (29 days old) and current commit history. Supports modern Python versions (3.10–3.14) and marked as Production/Stable.
Requires Python 3.10 or later; opentelemetry-api must be installed as a runtime dependency.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install opentelemetry-propagator-jaeger
from opentelemetry.propagators.jaeger import JaegerPropagator
from opentelemetry.propagate import set_global_textmap
set_global_textmap(JaegerPropagator())Verify before relying
- Whether this propagator is automatically registered or requires explicit configuration in all deployment scenarios.
- Compatibility with Jaeger client versions beyond 1.21 and any breaking changes in newer Jaeger propagation formats.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageopentelemetry-api |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,216,313 / month, #2,697 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 :: OpenTelemetryIntended Audience :: DevelopersProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed |
Evidence: opentelemetry_propagator_jaeger-1.44.0-py3-none-any.whl
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See also jaeger-client · nucliadb-telemetry · opentelemetry-propagator-b3 · opentelemetry-propagator-ot-trace · opentelemetry-propagator-gcp · opentelemetry-propagator-aws-xray · opentelemetry-exporter-jaeger-proto-grpc · opentelemetry-exporter-jaeger-thrift · opentelemetry-exporter-jaeger · opentelemetry-processor-baggage