opentelemetry-instrumentation-marqo
OpenTelemetry Marqo instrumentation
Decision gist · record as of 2026-08-14
Yes, if you are already using OpenTelemetry and Marqo together. The package is actively maintained, has no known vulnerabilities, and adds tracing with minimal install friction. If you are not yet using OpenTelemetry, this package alone does not justify adopting it—it is an instrumentation layer that requires an OpenTelemetry SDK and exporter already in place.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and an active OpenTelemetry SDK setup to export traces.
- Low friction install with four lightweight OpenTelemetry dependencies.
- Package is actively maintained with a recent release (4 days old) and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in most projects, including commercial ones, with minimal restrictions.
last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 7,377 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,794,113 downloads/mo, #1,848 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-marqo
from opentelemetry.instrumentation.marqo import MarqoInstrumentor
MarqoInstrumentor().instrument()- Whether instrumentation works with all Marqo client versions or specific versions only.
- What trace attributes and span types are captured for Marqo operations.
- Whether additional configuration is needed beyond calling instrument().
What it is and what it does
This package is an OpenTelemetry instrumentation plugin that automatically captures traces from the official Marqo vector database client library. When installed and initialized, it intercepts client-side calls to Marqo and emits structured trace data compatible with any OpenTelemetry-compliant backend (Jaeger, Datadog, etc.), enabling visibility into vector search latency, indexing operations, and error rates.
It's designed for developers already using OpenTelemetry for observability who want to extend tracing coverage to their Marqo vector database interactions. The instrumentation is passive—once initialized with a single method call, it requires no further code changes to the Marqo client usage itself.
Use it for
- Monitor latency of vector search queries in production applications using OpenTelemetry backends.
- Correlate Marqo database calls with upstream application traces for end-to-end observability.
- Debug performance issues in vector indexing or search by inspecting detailed trace spans.
- Track error rates and failure modes in Marqo operations across distributed systems.
- Integrate Marqo observability into existing OpenTelemetry-based monitoring infrastructure.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using OpenTelemetry and Marqo together.
The package is actively maintained, has no known vulnerabilities, and adds tracing with minimal install friction. If you are not yet using OpenTelemetry, this package alone does not justify adopting it—it is an instrumentation layer that requires an OpenTelemetry SDK and exporter already in place.
Install
opentelemetry-instrumentation-marqo on PyPI
Before you install
Low friction install with four lightweight OpenTelemetry dependencies. Package is actively maintained with a recent release (4 days old) and no known vulnerabilities.
Requires Python 3.10 or later and an active OpenTelemetry SDK setup to export traces.
License in practice
Apache-2.0 permissive license allows use in most projects, including commercial ones, with minimal restrictions.
Quickstart
pip install opentelemetry-instrumentation-marqo
from opentelemetry.instrumentation.marqo import MarqoInstrumentor
MarqoInstrumentor().instrument()Verify before relying
- Whether instrumentation works with all Marqo client versions or specific versions only.
- What trace attributes and span types are captured for Marqo operations.
- Whether additional configuration is needed beyond calling instrument().
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 | 4 packagesopentelemetry-apiopentelemetry-instrumentationopentelemetry-semantic-conventions-aiopentelemetry-semantic-conventions |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,794,113 / month, #1,848 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: opentelemetry_instrumentation_marqo-0.62.3-py3-none-any.whl
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See also opentelemetry-instrumentation-qdrant · opentelemetry-instrumentation-milvus · opentelemetry-instrumentation-chromadb · opentelemetry-instrumentation-pinecone · opentelemetry-instrumentation-weaviate · opentelemetry-instrumentation-lancedb · opentelemetry-instrumentation-elasticsearch · opentelemetry-instrumentation-ollama · opentelemetry-instrumentation-starlette · opentelemetry-instrumentation-groq