MIT License
Copyright (c) 2022 Practicus AI
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
OTHER OPEN SOURCE LICENSES
Practicus AI uses several open source projects, some of which are listed below. See the individual LICENSE files for copyright owners using the links below, or more recent licenses available in the online open source repositories.
Practicus AI open source project linceses include, but not limited to:
Pandas https://github.com/pandas-dev/pandas
DASK https://github.com/dask/dask
SQlAlchemy https://github.com/sqlalchemy/sqlalchemy
RAPIDS https://github.com/rapidsai
PySpark https://github.com/apache/spark/tree/master/python/pyspark
PyCaret https://github.com/pycaret/pycaret
Lz4 https://github.com/lz4/lz4
pyOpenSSL https://github.com/openssl/openssl
matplotlib https://github.com/matplotlib/matplotlib
pyperclip https://github.com/asweigart/pyperclip
Cython https://github.com/cython/cython
pyinstaller https://github.com/pyinstaller/pyinstaller
requests https://github.com/psf/requests
websocket-client https://github.com/websocket-client/websocket-client
boto3 https://github.com/boto/boto3
dataclasses-json https://github.com/lidatong/dataclasses-json
chardet https://github.com/chardet/chardet
openpyxl https://github.com/theorchard/openpyxl
Airflow https://github.com/apache/airflow
pyarrow https://github.com/apache/arrow/tree/master/python/pyarrow
s3fs https://github.com/s3fs-fuse/s3fs-fuse
psutil https://github.com/giampaolo/psutil
sweetviz https://github.com/fbdesignpro/sweetviz
Jinja2 https://github.com/pallets/jinja
jupyterlab https://github.com/jupyterlab/jupyterlab
psycopg2 https://github.com/psycopg/psycopg2
PyMySQL https://github.com/PyMySQL/PyMySQL
sqlalchemy-redshift https://github.com/sqlalchemy-redshift/sqlalchemy-redshift
snowflake-sqlalchemy https://github.com/snowflakedb/snowflake-sqlalchemy
dask-sql https://github.com/dask-contrib/dask-sql
xgboost https://github.com/dmlc/xgboost
catboost https://github.com/catboost/catboost
nyoka https://github.com/SoftwareAG/nyoka
interpretml https://github.com/interpretml/interpret
fairlearn https://github.com/fairlearn/fairlearn
scikit-learn https://github.com/scikit-learn/scikit-learn