riptable
pandera
| riptable | pandera | |
|---|---|---|
| 1 | 7 | |
| 346 | 3,012 | |
| 0.9% | 2.5% | |
| 6.7 | 9.1 | |
| 9 days ago | 1 day ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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riptable
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Data-Oriented Programming in Python
I'd like to plug riptables (https://github.com/rtosholdings/riptable), which is (more-or-less) a performance upgrade to pandas.
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?
sql_to_ibis - A Python package that parses sql and converts it to ibis expressions
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
dataframe_sql - A Python package that parses SQL and interprets it as methods that act upon existing pandas (or other types of) DataFrames that have been declared and registered
Schematics - Python Data Structures for Humans™.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
jsonschema - An implementation of the JSON Schema specification for Python
tensorflow - An Open Source Machine Learning Framework for Everyone
pointblank - Data quality assessment and metadata reporting for data frames and database tables
eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
swifter - A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.