CheckMates

CheckMates is an Alteryx Open Source library which catches and warns of problems with your data and problem setup before modeling.

Installation

python -m pip install checkmates

Start

Load and validate example data

from checkmates import (
    IDColumnsDataCheck
)
import pandas as pd

id_data_check_name = IDColumnsDataCheck.name
X_dict = {
        "col_1": [1, 1, 2, 3],
        "col_2": [2, 3, 4, 5],
        "col_3_id": [0, 1, 2, 3],
        "Id": [3, 1, 2, 0],
        "col_5": [0, 0, 1, 2],
        "col_6": [0.1, 0.2, 0.3, 0.4],
    }
X = pd.DataFrame.from_dict(X_dict)
id_cols_check = IDColumnsDataCheck(id_threshold=0.95)
print(id_cols_check.validate(X))

Next Steps

Read more about CheckMates on our documentation page:

Support

The CheckMates community is happy to provide support to users of CheckMates. Project support can be found in four places depending on the type of question:

1. For usage questions, use Stack Overflow with the CheckMates tag.
2. For bugs, issues, or feature requests start a Github issue.
3. For discussion regarding development on the core library, use Slack.
4. For everything else, the core developers can be reached by email at [email protected]

Built at Alteryx

CheckMates is an open source project built by Alteryx. To see the other open source projects we’re working on visit Alteryx Open Source. If building impactful data science pipelines is important to you or your business, please get in touch.