Package Health Score

63 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 22.73K
Forks: 495
Contributors: 180

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package dagster-pydantic, we found that it has been starred 22,725 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 19, 2022
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

CC0-1.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 234
Open PR: 15
Last Release: 2 years ago
Last Commit: 8 days ago

Further analysis of the maintenance status of dagster-pydantic based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for dagster-pydantic is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 180
Funding: No

A good and healthy external contribution signal for dagster-pydantic project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.10,<4.0

Age: 2 years
Latest Release: 2 years ago
Dependencies: 2 Direct
Versions: 1
Maintainers: 0
Wheels: OS Independent

Readme

dagster-pydantic

This is a naive approach for using Pydantic types for Dagster Type Checking. The package dagster_pydantic includes a really simple validation factory. Pydanitc is not built as a data validation library, it's actually a great parser and an OK validator in that order.

The purpose of this validation step is to ensure the shape of the model is correct before the data is consumed by the next op. Pydantic will stop you during the instantiation of your model if the data is not up to spec but if you want to check if the shape of the parsed data will match the model, that's where the validation layer comes in.

Usage

class MyPydanticModel(BaseModel):
    """
    This is a Pydantic model.
    """
    a: int
    b: str


MyPydanticModelDT = pydantic_to_dagster_type(MyPydanticModel)

@op(out=Out(MyPydanticModelDT))
def get_model():
    model = MyPydanticModel(
        a = 1,
        b = "hello"
    )
    # This should fail type checking in the Dagit UI.
    model.b = {} # type: ignore
    return model

This code will result in:

A typechecking error in the dagit UI

Without this integration, you wouldn't see that typechecking error in the console and the next op will consume a dict in place of a str.

Developing

First, install Just

$ just install

This will run two poetry commands in your current terminal, one that configures venvs to be in the project directory so the dependencies are accessable from your local environment. The other will install the dependencies.

$ just shell

This opens a current shell into your poetry virtual env.

Running tests

$ just test # This only runs pytest

Disclaimer

I've only had my hands on Dagster for a few weeks. I love the declarative framework, and the focus on flexibility + developer velocity. I am a bit iffy on the pricing and what's offered in the "Standard plan", but otherwise I'm so impressed by the open-source project.

That being said, I'm a noobie. This is my first integration and also my first Python module, so feel free to drop an issue if there's something I'm missing.

dagster-pydantic dependencies

dagster pydantic

FAQs

What is dagster-pydantic?

. Visit Snyk Advisor to see a full health score report for dagster-pydantic, including popularity, security, maintenance & community analysis.

Is dagster-pydantic popular?

The python package dagster-pydantic receives a total of 20 weekly downloads. As such, dagster-pydantic popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is dagster-pydantic well maintained?

We found indications that dagster-pydantic is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is dagster-pydantic safe to use?

The python package dagster-pydantic was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 24 December-2024, at 17:02 (UTC).

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dagster-pydantic

For more information about how to use this package see README

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Package

Readme

dagster-pydantic

Usage

Developing

Disclaimer

dagster-pydantic dependencies

FAQs

What is dagster-pydantic?

Is dagster-pydantic popular?

Is dagster-pydantic well maintained?

Is dagster-pydantic safe to use?

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Commit Frequency

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Readme

dagster-pydantic

Usage

Developing

Disclaimer

dagster-pydantic dependencies

FAQs

What is dagster-pydantic?

Is dagster-pydantic popular?

Is dagster-pydantic well maintained?

Is dagster-pydantic safe to use?

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Source Code

Open Source

Container

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