Package · PyPI
PyPI · v4.20.0 · MIT License
Generate profile report for pandas DataFrame
pip install fg-data-profilingPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
<6.1,>=6.0.3<2,>=1.9>=1.0.0==4.3.2<3.2,>=3.1.6<3.12,>=3.5>=0.15.0<2,>=1.4<0.68,>=0.60<2.6,>=1.22!=1.4.0,<3.0,>1.5<0.13,>=0.12.5<3,>=2<3,>=2.32.0<1.19.0,>=1.8<0.14,>=0.10.1<1,>=0.13.2<5,>=4.66.3<5,>=4<0.9,>=0.7.5>=1.9.4No published news event mentions this package or its repository yet.