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docs/index.md

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* **JSON Serializable**: all models and pricers are built on [Pydantic](https://docs.pydantic.dev), making them fully serializable to and from JSON.
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## Contributing
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Contributions are welcome! See the [contributing guide](https://quantflow.quantmind.com/contributing/) for how to get started, including documentation contributions, which are a great entry point.
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## Citation
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If you use Quantflow in your research, please cite it using the metadata in [CITATION.cff](https://github.com/quantmind/quantflow/blob/main/CITATION.cff).

pyproject.toml

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[project.optional-dependencies]
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data = [
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"aio-fluid[http]>=2.3.1",
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"aio-fluid[http]>=2.4.0",
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]
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ml = [
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"torch>=2.12.0",
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"types-python-dateutil>=2.9.0.20251115",
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]
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docs = [
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"aio-fluid[http,log,k8s]>=2.3.1",
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"aio-fluid[http,log,k8s]>=2.4.0",
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"fastapi>=0.136.3",
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"griffe-pydantic>=1.1.0",
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"griffe-typingdoc>=0.2.7",

readme.md

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* **JSON Serializable**: all models and pricers are built on [Pydantic](https://docs.pydantic.dev), making them fully serializable to and from JSON.
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## Contributing
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Contributions are welcome! See the [contributing guide](https://quantflow.quantmind.com/contributing/) for how to get started, including documentation contributions, which are a great entry point.
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## Citation
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If you use Quantflow in your research, please cite it using the metadata in [CITATION.cff](https://github.com/quantmind/quantflow/blob/main/CITATION.cff).

uv.lock

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