pointblank
strict
pointblank | strict | |
---|---|---|
3 | 2 | |
826 | 224 | |
1.3% | - | |
9.4 | - | |
about 1 month ago | over 3 years ago | |
R | R | |
GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
pointblank
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R: Introduction to Data Science
(1) You might want to check out https://github.com/t-kalinowski/Rapp by my colleague Tomasz
(2) I think part of that is in scope for strict (https://github.com/hadley/strict). You might also be well served by adopting some more data validation tooling, e.g. pointblank (https://rstudio.github.io/pointblank/).
- Custom Formatting in pointblank
- Pointblank: R package for data validation
strict
-
R: Introduction to Data Science
(1) You might want to check out https://github.com/t-kalinowski/Rapp by my colleague Tomasz
(2) I think part of that is in scope for strict (https://github.com/hadley/strict). You might also be well served by adopting some more data validation tooling, e.g. pointblank (https://rstudio.github.io/pointblank/).
What are some alternatives?
pandera - A light-weight, flexible, and expressive statistical data testing library
allure-environment-writer - Java library which allows to write environment.xml file into allure-results directory.
allure-docker-service - This docker container allows you to see up to date reports simply mounting your "allure-results" directory in the container (for a Single Project) or your "projects" directory (for Multiple Projects). Every time appears new results (generated for your tests), Allure Docker Service will detect those changes and it will generate a new report automatically (optional: send results / generate report through API), what you will see refreshing your browser.
soda-core - :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
piperider - Code review for data in dbt
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets