honeycomb-pycpp
Python bindings for the OpenTelemetry C++ SDK. Provides high-performance tracing via a Pythonic interface, and ships as an OpenTelemetry distro for drop-in use with auto-instrumentation.
This library is experimental.
Installation
pip install honeycomb-pycpp
The wheel bundles the OpenTelemetry C++ SDK — no system-level dependencies required.
Configuration
The SDK is configured via a YAML file following the OpenTelemetry Configuration File Format. A default config is embedded in the package and used when no override is provided.
| Environment variable | Description |
|---|---|
OTEL_CONFIG_FILE |
Path to a custom configuration YAML. Overrides the embedded default. |
OTEL_EXPORTER_OTLP_ENDPOINT |
OTLP endpoint (default: http://localhost:4318) |
OTEL_EXPORTER_OTLP_HEADERS |
Headers to send with OTLP requests |
OTEL_EXPORTER_OTLP_CERTIFICATE |
Configure certificate used to verify a server's TLS credentials. |
OTEL_EXPORTER_OTLP_CLIENT_KEY |
Configure mTLS client certificate. |
OTEL_EXPORTER_OTLP_CLIENT_CERTIFICATE |
Configure mTLS private client key. |
OTEL_RESOURCE_ATTRIBUTES |
Comma-separated resource attributes |
OTEL_SERVICE_NAME |
Service name |
Usage
As a distro (auto-instrumentation)
opentelemetry-instrument --service-name my-service python app.py
The distro registers itself automatically via entry points — no code changes required.
Tracing
import honeycomb_pycpp as otel
# Initialize from config file (or uses embedded default)
provider = otel.TracerProvider("path/to/otel.yaml")
tracer = provider.get_tracer("my-tracer")
with tracer.start_as_current_span("my-span") as span:
span.set_attribute("key", "value")
# ... do work ...
Metrics
Install the system metrics instrumentor:
pip install opentelemetry-instrumentation-system-metrics
Then activate it programmatically after initializing the MeterProvider:
import honeycomb_pycpp as otel
from opentelemetry import metrics
from opentelemetry.instrumentation.system_metrics import SystemMetricsInstrumentor
provider = otel.MeterProvider("path/to/otel.yaml")
metrics.set_meter_provider(provider)
SystemMetricsInstrumentor().instrument()
This collects CPU, memory, network, and other host metrics and exports them via the C++ SDK.
Logs
import honeycomb_pycpp as otel
provider = otel.LoggerProvider("path/to/otel.yaml")
logger = provider.get_logger("my-logger")
# Emit using keyword arguments
logger.emit(body="something happened", severity_number=otel.SeverityNumber.INFO)
# Emit using a LogRecord object
record = otel.LogRecord()
record.body = "request failed"
record.severity_number = otel.SeverityNumber.ERROR
record.attributes = {"user.id": "u-123", "http.status_code": 500}
logger.emit(record)
# Attach an exception
try:
1 / 0
except ZeroDivisionError as exc:
record = otel.LogRecord()
record.body = "unhandled exception"
record.severity_number = otel.SeverityNumber.ERROR
record.exception = exc
logger.emit(record)
provider.shutdown()
The LoggerProvider can also be used via bridges such that opentelemetry-instrumentation-logging work:
import logging
import honeycomb_pycpp as otel
from opentelemetry.instrumentation.logging.handler import LoggingHandler
from opentelemetry._logs import get_logger_provider
handler = LoggingHandler(logger_provider=otel.LoggerProvider("path/to/otel.yaml"))
logging.getLogger().addHandler(handler)
logging.getLogger("myapp").warning("watch out")
Deploying alongside the standard OpenTelemetry Python distro
Both honeycomb-pycpp and the standard opentelemetry-distro can be installed at the same time. When both are present, opentelemetry-instrument may pick up either distro. Use OTEL_PYTHON_DISTRO and OTEL_PYTHON_CONFIGURATOR to explicitly select which one runs.
pip install honeycomb-pycpp opentelemetry-distro
To use this C++ distro:
OTEL_PYTHON_DISTRO=cpp_distro \
OTEL_PYTHON_CONFIGURATOR=cpp_configurator \
opentelemetry-instrument python app.py
To use the standard Python SDK distro:
OTEL_PYTHON_DISTRO=distro \
OTEL_PYTHON_CONFIGURATOR=configurator \
opentelemetry-instrument python app.py
If neither variable is set and both distros are installed, the one selected is non-deterministic — always set them explicitly in multi-distro environments.
Current limitations
-
OTLP gRPC exporter not included in published wheels. Only OTLP HTTP (
otlp_http) and console exporters are bundled. Usehttp/protobufas your OTLP protocol. To build with gRPC support, install gRPC and its dependencies, then build from source withWITH_OTLP_GRPC=ON:WITH_OTLP_GRPC=ON pip install -e .
-
OpenTelemetry C++ ABI v2 not yet enabled, any features relying on it (i.e. links) are not supported
Building from source
Requirements: Python >= 3.10, CMake >= 3.15, C++17 compiler.
git clone https://github.com/honeycombio/honeycomb-pycpp
cd honeycomb-pycpp
pip install -r requirements-dev.txt
pip install -e .
To rebuild after C++ changes:
pip install -e . --force-reinstall --no-deps
To clean up cmake artifacts:
rm -rf CMakeCache.txt CMakeFiles/ cmake_install.cmake build/ dist/ *.egg-info/ *.so
Shared vs static libraries
Published wheels link the OpenTelemetry C++ core libraries dynamically. When multiple worker processes load the same .so, the OS shares the OTel code pages — reducing per-process memory overhead in multi-worker deployments (e.g. gunicorn, uWSGI).
To build with static libraries instead (suitable for single-process or embedded deployments):
WITH_SHARED_LIBS=OFF pip install -e .
Note: the OTLP HTTP exporter builder libraries are always linked statically regardless of this flag.
License
Apache License 2.0
1 maintainer
Metadata
1 maintainer
Release files for honeycomb-pycpp 0.1.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
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Total release size: 198.4 MB
Release files / honeycomb_pycpp-0.1.15-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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