avro
Avro is a serialization and RPC framework.
Decision gist · record as of 2026-08-14
Yes. Avro is a production-stable, zero-dependency serialization library with broad language support and no known vulnerabilities. Install it if you need compact binary encoding, schema-driven serialization, or cross-language data interchange. The aging release cycle is not a blocker for a mature, standardized format, but verify that its feature set matches your use case before committing to it.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- The package is marked as aging (303 days since last release), but it is production-stable and supports current Python versions (3.9–3.13).
License · maintenance · safety
Apache License 2.0 (permissive) — Licensed under Apache License 2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you include a copy of the license and any NOTICE files.
last release 2025-10-15 (303 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 16,641,331 downloads/mo, #1,145 on PyPI
Alternatives
Verify before relying
pip install avro
import avro.schema
import avro.io
schema_str = '{"type": "record", "name": "User", "fields": [{"name": "name", "type": "string"}]}'
schema = avro.schema.parse(schema_str)
record = {"name": "Alice"}
# Use avro.io.DatumWriter and BytesIO to serialize- Whether the package's aging status (303 days since release) reflects a stable, mature codebase or signals reduced maintenance velocity.
- Performance characteristics and serialization speed compared to other binary formats in typical workloads.
What it is and what it does
Apache Avro is a mature, language-agnostic data serialization framework that converts structured data into a compact binary format. It uses schemas to define the shape of data, enabling efficient encoding and decoding across different systems and programming languages. The Python package provides tools to parse schemas, serialize Python objects into Avro binary format, and deserialize binary data back into Python objects.
Avro is commonly used in distributed systems, data pipelines, and RPC frameworks where compact representation and schema evolution matter. It has no external runtime dependencies, making it straightforward to integrate into existing Python projects. The package supports Python 3.9 through 3.13 and is classified as production-stable.
Use it for
- Serialize and deserialize structured records in data pipelines and message brokers.
- Define and enforce schemas for data interchange between microservices or across language boundaries.
- Compress structured data for efficient storage in databases or data lakes.
- Build RPC frameworks that need language-neutral data encoding and schema versioning.
- Validate incoming data against a predefined schema before processing.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Avro is a production-stable, zero-dependency serialization library with broad language support and no known vulnerabilities. Install it if you need compact binary encoding, schema-driven serialization, or cross-language data interchange. The aging release cycle is not a blocker for a mature, standardized format, but verify that its feature set matches your use case before committing to it.
Install
avro on PyPI
Before you install
Low install friction with no runtime dependencies. The package is marked as aging (303 days since last release), but it is production-stable and supports current Python versions (3.9–3.13).
License in practice
Licensed under Apache License 2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you include a copy of the license and any NOTICE files.
Quickstart
pip install avro
import avro.schema
import avro.io
schema_str = '{"type": "record", "name": "User", "fields": [{"name": "name", "type": "string"}]}'
schema = avro.schema.parse(schema_str)
record = {"name": "Alice"}
# Use avro.io.DatumWriter and BytesIO to serializeVerify before relying
- Whether the package's aging status (303 days since release) reflects a stable, mature codebase or signals reduced maintenance velocity.
- Performance characteristics and serialization speed compared to other binary formats in typical workloads.
Package facts
| License | Apache License 2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 303 days since the last release |
| First released | |
| Downloads | 16,641,331 / month, #1,145 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: avro-1.12.1-py2.py3-none-any.whl
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See also avro-python3 · thrift · fastavro · py-avro-schema · dataclasses-avroschema · confluent_avro · pydantic-avro · pandavro · azure-schemaregistry-avroserializer · cbor2