opentelemetry-instrumentation-chromadb
OpenTelemetry Chroma DB instrumentation
Decision gist · record as of 2026-08-14
Yes, if you are already using OpenTelemetry for observability and need visibility into Chroma client calls. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a straightforward addition to tracing-enabled applications. Not necessary if you have no observability requirements or are not using OpenTelemetry.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and an OpenTelemetry exporter configured to receive traces.
- Low friction install with a small, focused dependency tree.
- Actively maintained as of 2026-08-10 with recent releases.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in most commercial and open-source projects without significant 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) · 6,873,685 downloads/mo, #1,828 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-chromadb
from opentelemetry.instrumentation.chromadb import ChromaInstrumentor
ChromaInstrumentor().instrument()- Whether this package supports all Chroma API operations or only a subset of client calls
- Compatibility with Chroma versions beyond the implicit support of the instrumentation design
- Performance overhead of instrumentation on typical Chroma query workloads
What it is and what it does
This package is an OpenTelemetry instrumentation plugin that automatically captures tracing data from Chroma vector database client calls. It wraps the official Chroma library to emit spans compatible with OpenTelemetry's distributed tracing ecosystem, allowing you to observe and debug interactions with Chroma in production systems.
You activate it by calling `ChromaInstrumentor().instrument()` early in your application startup. Once enabled, all subsequent Chroma client operations generate traces that flow into your configured OpenTelemetry exporters (e.g., Jaeger, Datadog, or other APM backends). It depends on opentelemetry-api, opentelemetry-instrumentation, and semantic convention packages to standardize how Chroma operations are represented in traces.
Use it for
- Debug slow or failing Chroma queries by viewing detailed traces in an APM dashboard
- Monitor vector database latency and error rates across your application in production
- Correlate Chroma operations with other service calls in a distributed system trace
- Audit which vector operations are being performed and by which code paths
- Integrate Chroma 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 for observability and need visibility into Chroma client calls.
The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a straightforward addition to tracing-enabled applications. Not necessary if you have no observability requirements or are not using OpenTelemetry.
Install
opentelemetry-instrumentation-chromadb on PyPI
Before you install
Low friction install with a small, focused dependency tree. Actively maintained as of 2026-08-10 with recent releases.
Requires Python 3.10 or later and an OpenTelemetry exporter configured to receive traces.
License in practice
Apache-2.0 permissive license allows use in most commercial and open-source projects without significant restrictions.
Quickstart
pip install opentelemetry-instrumentation-chromadb
from opentelemetry.instrumentation.chromadb import ChromaInstrumentor
ChromaInstrumentor().instrument()Verify before relying
- Whether this package supports all Chroma API operations or only a subset of client calls
- Compatibility with Chroma versions beyond the implicit support of the instrumentation design
- Performance overhead of instrumentation on typical Chroma 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 | 6,873,685 / month, #1,828 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: opentelemetry_instrumentation_chromadb-0.62.3-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 › “opentelemetry chroma tracing”
- opentelemetry-instrumentation-chromadbAdds distributed tracing to Chroma vector database client calls using…
- opentelemetry-instrumentation-boto3sqsAdds distributed tracing to Boto3 SQS calls via OpenTelemetry,…
- opentelemetry-exporter-zipkin-jsonExports OpenTelemetry tracing data to Zipkin using JSON serialization…
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-pinecone · opentelemetry-instrumentation-weaviate · opentelemetry-instrumentation-milvus · opentelemetry-instrumentation-qdrant · opentelemetry-instrumentation-lancedb · opentelemetry-instrumentation-marqo · chromadb-client · opentelemetry-instrumentation-cassandra · opentelemetry-instrumentation-ollama · chromadb