Schematics
pandera
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| Schematics | pandera | |
|---|---|---|
| - | 7 | |
| 2,571 | 2,994 | |
| -0.1% | 4.8% | |
| 0.0 | 8.9 | |
| 10 months ago | 5 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Schematics
We haven't tracked posts mentioning Schematics yet.
Tracking mentions began in Dec 2020.
pandera
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Unit testing functions that input/output dataframes?
I use Pandera, so I just need to define the expected input/output schemas (i.e. column names, types, and constraints on them), and Pandera automatically generates fake data for the unit tests, and validates the result: https://github.com/unionai-oss/pandera
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Great Expectations is annoyingly cumbersome
Please DM me! Or we can discuss in this issue which I just created: https://github.com/unionai-oss/pandera/issues/1042
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Data validation for dashboards
In my opinion for simple data validation tasks the best solution is always Pandera.
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Show HN: Pandera 0.8.0 – validate pandas, dask, modin, and koalas dataframes
* adds support for mypy static type-linting if you need that extra type safety
Repo: https://github.com/pandera-dev/pandera
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Pandera 0.8.0: Schema Validation for Pandas, Dask, Modin, and Koalas DataFrames. Oh, and also out-of-the-box Pydantic and Mypy support :)
Repo: https://github.com/pandera-dev/pandera
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How heavily do you use Great Expectations?
pandera
What are some alternatives?
jsonschema - An implementation of the JSON Schema specification for Python
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
Cerberus - Lightweight, extensible data validation library for Python
colander - A serialization/deserialization/validation library for strings, mappings and lists.
pointblank - Data quality assessment and metadata reporting for data frames and database tables
schema - Schema validation just got Pythonic
swifter - A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
voluptuous - CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
python-codicefiscale - :it: :credit_card: italian fiscal codes encoding, decoding and validation - codifica, decodifica e validazione del Codice Fiscale italiano.
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.