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datamodel-code-generator
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datamodel-code-generator/datamodel-code-generator

Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.

Python ◇ code-generator MIT
★4KSTARS
⑂460FORKS
!35ISSUES
🏆#1,571GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+101

STARS · LAST 30 DAYS

3

PER DAY

#252

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+21+101+270
Per day333
Forks gained+2+9+23

datamodel-code-generator gained 101 stars in the last 30 days, about 3 a day, and now has 4K. It is about 7 years old and has averaged roughly 575 stars a year. It ranks #252 among Python repositories and #1,571 across all languages on GitHubRepo.

Trending Record

datamodel-code-generator has maintained a continuous presence across global trending indexes, peaking at #2466. Below is the 30-day activity profile:

💡 Overview

datamodel-code-generator is an open-source project written in Python: Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.

Engineered for speed, consistency, and developer ease, it solves common hurdles in code-generator, csv, dataclass. 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 datamodel-code-generator

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

datamodel-code-generator 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 datamodel-code-generator 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 datamodel-code-generator using your package manager: `pip install datamodel-code-generator`

2

Initialize your project workspace or configuration file for datamodel-code-generator.

3

Import datamodel-code-generator into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `datamodel-code-generator --help` to verify successful setup.

👍 Strengths

Active community backing with 4,027 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

datamodel-code-generator/datamodel-code-generator is currently ranked #1,571 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does datamodel-code-generator do? +

Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.

What language is datamodel-code-generator written in? +

The primary language is Python. Topics include: code-generator, csv, dataclass, datamodel, fastapi.

Is datamodel-code-generator actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 35 open issues being tracked.

How many stars does datamodel-code-generator have? +

datamodel-code-generator has 4,027 stars and 460 forks on GitHub.

How does datamodel-code-generator rank among GitHub repositories? +

With 4,027 stars, datamodel-code-generator/datamodel-code-generator is ranked #1,571 globally across all repositories tracked on GitHubRepo and #252 among Python projects.

What license is datamodel-code-generator distributed under? +

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

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