Factual package intelligence from PyPI
Library to scan, analyse and predict financial data from National Stock Exchange (NSE - India) in pandas dataframe
pip install nseta
PyPI declares 41 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.9.75.123>=4.8.2>=19.10b0>=0.0.1>=0.12.6>=1.51.84>=2019.11.28>=3.0.4>=7.0>=0.9.5>=2.3.0>=0.3.35>=0.22>=2.8>=0.0.9>=4.6.2>=3.2.2>=2.4>=1.18.0>=3.1.0>=1.1.2>=4.14.3>=2.6.2>=1.7.1==2.19.1.1The compact report shows 25 of 41 declarations. The interactive dependency graph loads the complete metadata.
nseta publishes 1 wheel and 1 source archive for version 0.7.386. Wheel platform tags: any.
Declared Python classifiers: 3.7, 3.8.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 13 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .