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marcosschroh/dataclasses-avroschema

Generate avro schemas from python dataclasses, Pydantic models and Faust Records. Code generation from avro schemas. Serialize/Deserialize python instances with avro schemas.

Python ◇ apache-avro MIT
★252STARS
⑂80FORKS
!23ISSUES
🏆#8,575GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,058

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

dataclasses-avroschema gained 10 stars in the last 30 days, about 1 a day, and now has 252. It is about 7 years old and has averaged roughly 36 stars a year. It ranks #1,058 among Python repositories and #8,575 across all languages on GitHubRepo.

Trending Record

dataclasses-avroschema has maintained a continuous presence across global trending indexes, peaking at #8185. Below is the 30-day activity profile:

💡 Overview

dataclasses-avroschema is an open-source project written in Python: Generate avro schemas from python dataclasses, Pydantic models and Faust Records. Code generation from avro schemas. Serialize/Deserialize python instances with avro schemas.

Engineered for speed, consistency, and developer ease, it solves common hurdles in apache-avro, avro, avro-schemas. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install dataclasses-avroschema

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

dataclasses-avroschema coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed dataclasses-avroschema into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install dataclasses-avroschema using your package manager: `pip install dataclasses-avroschema`

2

Initialize your project workspace or configuration file for dataclasses-avroschema.

3

Import dataclasses-avroschema into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `dataclasses-avroschema --help` to verify successful setup.

👍 Strengths

Active community backing with 252 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

marcosschroh/dataclasses-avroschema is currently ranked #8,575 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does dataclasses-avroschema do? +

Generate avro schemas from python dataclasses, Pydantic models and Faust Records. Code generation from avro schemas. Serialize/Deserialize python instances with avro schemas.

What language is dataclasses-avroschema written in? +

The primary language is Python. Topics include: apache-avro, avro, avro-schemas, code-generation, faust-streaming.

Is dataclasses-avroschema actively maintained? +

Yes, the last recorded push was on Oct 5, 2026 with 23 open issues being tracked.

How many stars does dataclasses-avroschema have? +

dataclasses-avroschema has 252 stars and 80 forks on GitHub.

How does dataclasses-avroschema rank among GitHub repositories? +

With 252 stars, marcosschroh/dataclasses-avroschema is ranked #8,575 globally across all repositories tracked on GitHubRepo and #1,058 among Python projects.

What license is dataclasses-avroschema distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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