opentelemetry-instrumentation-weaviate
OpenTelemetry Weaviate instrumentation
Decision gist · record as of 2026-08-14
Yes, if you are already using OpenTelemetry for application tracing and need visibility into Weaviate client operations. The package is actively maintained, has no known vulnerabilities, and integrates cleanly with standard observability infrastructure. Install it only if your observability strategy already includes OpenTelemetry; it adds no value in isolation.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Assumes you have already configured an OpenTelemetry tracer provider and exporter in your application.
- Low friction installation with a pure-Python wheel.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in proprietary and open-source projects with minimal restrictions beyond attribution.
last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 7,377 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,815,561 downloads/mo, #1,843 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-weaviate
from opentelemetry.instrumentation.weaviate import WeaviateInstrumentor
WeaviateInstrumentor().instrument()- Whether this instrumentation works with all Weaviate client versions or has specific compatibility constraints.
- Performance overhead of tracing on typical Weaviate query workloads.
What it is and what it does
This package integrates Weaviate vector database client calls into OpenTelemetry's distributed tracing infrastructure. When installed and initialized, it automatically captures spans for operations sent to Weaviate through the official Weaviate Python client library, allowing you to observe and debug client-side behavior within your broader observability stack.
It's designed for teams already using OpenTelemetry for application tracing who need visibility into vector database interactions. The instrumentation hooks into the Weaviate client and emits traces using OpenTelemetry's semantic conventions for AI operations, integrating seamlessly with existing tracing backends (Jaeger, Datadog, etc.) without requiring changes to your Weaviate client code.
Use it for
- Debug slow or failing Weaviate queries by correlating them with application traces in a distributed tracing backend.
- Monitor vector database latency and error rates as part of your application's observability pipeline.
- Trace end-to-end requests through a microservice architecture that includes Weaviate lookups.
- Analyze Weaviate client behavior in production without modifying application code beyond one initialization call.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using OpenTelemetry for application tracing and need visibility into Weaviate client operations.
The package is actively maintained, has no known vulnerabilities, and integrates cleanly with standard observability infrastructure. Install it only if your observability strategy already includes OpenTelemetry; it adds no value in isolation.
Install
opentelemetry-instrumentation-weaviate on PyPI
Before you install
Low friction installation with a pure-Python wheel. Maintained actively with recent releases; last commit 2026-08-10. Depends on four OpenTelemetry packages (opentelemetry-api, opentelemetry-instrumentation, opentelemetry-semantic-conventions-ai, opentelemetry-semantic-conventions), all standard observability infrastructure.
Requires Python 3.10 or later. Assumes you have already configured an OpenTelemetry tracer provider and exporter in your application.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in proprietary and open-source projects with minimal restrictions beyond attribution.
Quickstart
pip install opentelemetry-instrumentation-weaviate
from opentelemetry.instrumentation.weaviate import WeaviateInstrumentor
WeaviateInstrumentor().instrument()Verify before relying
- Whether this instrumentation works with all Weaviate client versions or has specific compatibility constraints.
- Performance overhead of tracing on typical Weaviate query workloads.
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 | 6,815,561 / month, #1,843 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: opentelemetry_instrumentation_weaviate-0.62.3-py3-none-any.whl
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See also opentelemetry-instrumentation-chromadb · opentelemetry-instrumentation-qdrant · opentelemetry-instrumentation-milvus · opentelemetry-instrumentation-lancedb · opentelemetry-instrumentation-pinecone · opentelemetry-instrumentation-marqo · opentelemetry-instrumentation-ollama · weaviate-client · opentelemetry-instrumentation-cassandra · opentelemetry-instrumentation-sklearn