analytics-toolkit 1.3.6.14

Shared Python utilities for SQL, Excel, and date helpers.

analytics_toolkit

A compact Python toolkit for AB-test analysis, SQL workflows, Excel reports, and date helpers.

Version: 1.3.6.14
Depends: Python (>=3.8,<3.15)
Imports: clickhouse-connect (>=0.5.14,<1), lz4 (>=4.3.2,<5), numpy (>=1.24.2,<2), openpyxl (>=3.1.1,<4), orjson (>=3.8.7,<4), pandas (>=1.4.4,<3), psycopg2-binary (>=2.9.5,<3), python-dateutil (>=2.8.2,<3), pytz (>=2022.7), requests (>=2.28.2,<3), scipy (>=1.10.1,<2), sqlglot (>=20,<31), sqlparse (>=0.4.3,<1), tqdm (>=4.65.0,<5), trino (>=0.320,<1), zstandard (>=0.20.0,<1)
Suggests: apache-airflow (>=2.4,<3; optional extra airflow)
Install: pip install analytics-toolkit
PyPI: pypi.org/project/analytics-toolkit
License: MIT
Source: github.com/Karapsin/analytics_toolkit
Issues: GitHub Issues

Installation

From PyPI:

pip install analytics-toolkit

From GitHub:

pip install git+https://github.com/Karapsin/analytics_toolkit.git

Areas

• analytics_toolkit.ab_utils: AB-test metric comparison helpers.
• analytics_toolkit.sql: SQL read, execute, load, and transfer helpers.
• analytics_toolkit.excel: Excel report helpers for long-format dataframes.
• analytics_toolkit.dates: date and period helpers.
• analytics_toolkit.general: shared logging and file path helpers.

SQL Import Policy

Supported SQL imports are from analytics_toolkit import sql or import analytics_toolkit.sql as sql. Deep imports under analytics_toolkit.sql.* are internal implementation details and may change; call SQL helpers through the sql facade, for example sql.create_sql_table(...) or sql.transfer(...). Do not restore removed root implementation paths.

Documentation

• Full README
• analytics_toolkit Manual
• Airflow SQL Manual
• SQL module
• AB utilities
• Excel helpers
• Date helpers
• Changelog