nucliadb-telemetry
NucliaDB Telemetry Library Python process
Decision gist · record as of 2026-08-14
Yes, if you are building a distributed async microservice architecture with FastAPI, gRPC, or NATS and need tracing. The package is actively maintained, has low install friction, and handles integration boilerplate. Be aware it is in Alpha status; verify compatibility with your Jaeger setup before production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; Jaeger backend must be running at JAEGER_HOST:JAEGER_PORT for traces to export.
- Low install friction with a small, stable dependency set of 5 runtime dependencies.
- Actively maintained with a recent release; classifiers indicate Alpha status, so expect API refinement.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
last release 2026-08-11 (3 days) · last repo commit 2026-08-13 · 721 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 166,507 downloads/mo, #10,491 on PyPI
Alternatives
Verify before relying
pip install nucliadb-telemetry
from nucliadb_telemetry import get_telemetry, init_telemetry
tracer_provider = get_telemetry("HTTP_SERVICE")
await init_telemetry(tracer_provider)- Whether the package supports all current versions of its runtime dependencies (pydantic, prometheus-client, orjson, wrapt).
- Performance overhead of trace propagation in high-throughput NATS or gRPC scenarios.
- Stability guarantees given the Alpha development status and post-release versioning scheme.
What it is and what it does
NucliaDB Telemetry is an instrumentation plugin that integrates distributed tracing into async Python services. It wraps FastAPI applications, gRPC servers and clients, and NATS message brokers to automatically capture and propagate trace context using B3 Multi Format headers. Traces are exported to a Jaeger backend configured via environment variables (JAEGER_ENABLED, JAEGER_HOST, JAEGER_PORT).
The package handles initialization of a tracer provider and instrumentation of service entry points, ensuring trace IDs flow across async task boundaries and message-broker hops. It depends on pydantic for configuration, prometheus-client for metrics, orjson for serialization, and wrapt for instrumentation. Designed for microservices architectures where observability across service boundaries is essential.
Use it for
- Instrument a FastAPI service to emit traces to Jaeger for request-level observability.
- Connect gRPC client and server pairs so trace context propagates through RPC calls.
- Trace NATS JetStream publish-subscribe and request-reply patterns across services.
- Debug async task execution by following trace IDs through FastAPI, gRPC, and NATS.
- Export traces to a centralized Jaeger instance for multi-service performance analysis.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building a distributed async microservice architecture with FastAPI, gRPC, or NATS and need tracing.
The package is actively maintained, has low install friction, and handles integration boilerplate. Be aware it is in Alpha status; verify compatibility with your Jaeger setup before production use.
Install
nucliadb-telemetry on PyPI
Before you install
Low install friction with a small, stable dependency set of 5 runtime dependencies. Actively maintained with a recent release; classifiers indicate Alpha status, so expect API refinement.
Requires Python 3.10 or later; Jaeger backend must be running at JAEGER_HOST:JAEGER_PORT for traces to export.
License in practice
Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install nucliadb-telemetry
from nucliadb_telemetry import get_telemetry, init_telemetry
tracer_provider = get_telemetry("HTTP_SERVICE")
await init_telemetry(tracer_provider)Verify before relying
- Whether the package supports all current versions of its runtime dependencies (pydantic, prometheus-client, orjson, wrapt).
- Performance overhead of trace propagation in high-throughput NATS or gRPC scenarios.
- Stability guarantees given the Alpha development status and post-release versioning scheme.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagespydanticpydantic-settingsprometheus-clientorjsonwrapt |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 166,507 / month, #10,491 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaFramework :: AsyncIOIntended Audience :: DevelopersIntended Audience :: Information TechnologyProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Topic :: System :: Monitoring |
Evidence: nucliadb_telemetry-7.1.0.post7000-py3-none-any.whl
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See also opentelemetry-propagator-jaeger · jaeger-client · opentelemetry-instrumentation-qdrant · opentelemetry-exporter-jaeger-proto-grpc · opentelemetry-instrumentation-grpc · nats-py · opentelemetry-propagator-gcp · opentelemetry-propagator-ot-trace · opentelemetry-instrumentation-django · opentelemetry-instrumentation-threading