Factual package intelligence from PyPI

etl-ml 1.0.7 package intelligence

etl_ml is a tools could etl origin excel or csv dirty data and send data to ftp or server and insert data to hive database and load data from jump hive make feature project machine learning model train and jump the jump machine to connect hive get hive data to pandas dataframe

pip install etl-ml

Current version
1.0.7
Python requirement
Not declared
License
Apache 2.0
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
47.1 KiB
Release history
5 releases with files
Median release cadence
0 days

etl-ml dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. thrift >=0.11.0
  2. thrift-sasl >=0.3.0
  3. hdfs >=2.1.0
  4. sklearn-pandas >=1.6.0
  5. scikit-learn >=0.19.1
  6. click >=6.7
  7. scipy >=1.1.0
  8. numpy >=1.14.3pandas>=0.20.3
  9. PyHive >=0.5.1
  10. paramiko >=2.4.1
  11. selectors >=0.0.14
  12. sasl >=0.2.1

Compatibility and release files

etl-ml publishes 1 wheel and 0 source archives for version 1.0.7. Wheel platform tags: any.

Declared Python classifiers: 2.7, 3.4, 3.5, 3.6.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .