sentry-kafka-schemas
Kafka topics and schemas for Sentry
Decision gist · record as of 2026-08-14
Yes, if you are developing or operating a Sentry instance or integration that produces or consumes Kafka messages. The package is actively maintained, has low install friction, and provides essential schema definitions and validation for Sentry's event pipeline. Verify the license status before use in proprietary contexts, and confirm Python version compatibility for your environment.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Active maintenance with a release on 2026-08-14.
- Low install friction: pure Python wheel with six runtime dependencies (python-rapidjson, PyYAML, typing-extensions, fastjsonschema, msgpack, sentry-protos).
- No minimum Python version specified in the fact sheet.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is provided. Verify the actual license before using in proprietary or GPL-sensitive contexts.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 11 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 135,680 downloads/mo, #11,422 on PyPI
Alternatives
Verify before relying
pip install sentry-kafka-schemas
from sentry_kafka_schemas import get_codec, ValidationError
from sentry_kafka_schemas.schema_types.ingest_metrics_v1 import IngestMetric
SCHEMA = get_codec("ingest-metrics")
try:
decoded = SCHEMA.decode(b'{"type": "c", ...}')
except ValidationError:
pass- Minimum Python version required (requires_python is unspecified in the fact sheet)
- Whether license is open-source or proprietary (license_treatment is 'unclear')
- Stability guarantees for schema versioning and backward compatibility across releases
What it is and what it does
sentry-kafka-schemas is a schema registry and codec library for Sentry's Kafka infrastructure. It defines the topics, JSON schemas, and message formats that Sentry services use to stream events and metrics through Kafka, along with validation and type-generation tooling. The package contains YAML topic definitions, jsonschema files for both JSON and msgpack message types, and example payloads stripped of customer data.
When installed, it provides a Python API to retrieve codecs for specific topics (e.g., `get_codec("ingest-metrics")`), validate incoming messages against their schemas, and access auto-generated TypedDict classes that correspond to each schema version. This allows Sentry services and integrations to encode, decode, and validate Kafka messages with type safety and schema compliance.
Use it for
- Validate incoming Kafka messages in a Sentry service consumer against the canonical schema before processing.
- Generate type-safe Python objects from Kafka payloads using auto-generated schema_types classes.
- Encode outgoing events or metrics to Kafka with schema validation to prevent malformed messages.
- Reference topic definitions and examples during development of new Sentry services that produce or consume Kafka topics.
- Synchronize schema definitions across Sentry, Snuba, and Relay services during schema evolution.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are developing or operating a Sentry instance or integration that produces or consumes Kafka messages.
The package is actively maintained, has low install friction, and provides essential schema definitions and validation for Sentry's event pipeline. Verify the license status before use in proprietary contexts, and confirm Python version compatibility for your environment.
Install
sentry-kafka-schemas on PyPI
Before you install
Active maintenance with a release on 2026-08-14. Low install friction: pure Python wheel with six runtime dependencies (python-rapidjson, PyYAML, typing-extensions, fastjsonschema, msgpack, sentry-protos). No minimum Python version specified in the fact sheet.
License in practice
License treatment is unclear—no SPDX identifier or raw license text is provided. Verify the actual license before using in proprietary or GPL-sensitive contexts.
Quickstart
pip install sentry-kafka-schemas
from sentry_kafka_schemas import get_codec, ValidationError
from sentry_kafka_schemas.schema_types.ingest_metrics_v1 import IngestMetric
SCHEMA = get_codec("ingest-metrics")
try:
decoded = SCHEMA.decode(b'{"type": "c", ...}')
except ValidationError:
passVerify before relying
- Minimum Python version required (requires_python is unspecified in the fact sheet)
- Whether license is open-source or proprietary (license_treatment is 'unclear')
- Stability guarantees for schema versioning and backward compatibility across releases
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagespython-rapidjsonPyYAMLtyping-extensionsfastjsonschemamsgpacksentry-protos |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 135,680 / month, #11,422 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: sentry_kafka_schemas-3.0.0-py2.py3-none-any.whl
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See also sentry-protos · kafka-schema-registry · drf-jsonschema-serializer · confluent_avro · jsonschema-pydantic · jsonschema-typed-v2 · marshmallow-jsonschema · sphinx-jsonschema · azure-schemaregistry · schematics