Composable command line interface toolkit
An extension module for click to enable registering CLI commands via setuptools entry-points.
Enables git-like *did-you-mean* feature in click
REPL plugin for Click
Option groups missing in Click
Universal Command Line Environment for AWS.
ClickHouse Database Core Driver for Python, Pandas, and Superset
Click utility functions
WebSocket client for Python with low level API options
Click params for commmand line interfaces to GeoJSON
Python driver with native interface for ClickHouse
A python native Weaviate client
Google API Client Library for Python
click_default_group
Python client for the Prometheus monitoring system.
Simple ClickHouse SQLAlchemy Dialect
Jupyter protocol implementation and client libraries
Spinner for Click
functions to exit an cli application properly
Logging integration for Click
Colorization of help messages in Click
A Python module for working with the Tableau Server REST API.
OAuth 2.0 client library
Command Line Interface Formulation Framework
Helpers for building command-line apps
CliKit is a group of utilities to build beautiful and testable command line interfaces.
Python interface to MySQL
Google Cloud Dataflow Client API client library
Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀
HTTP REST client, simplified for Python
A command line interface for Databricks
Collection of all Datadog Public endpoints
Format click help output nicely with rich
Deploy and manage FastAPI Cloud apps from the command line 🚀
The geodesic routines from GeographicLib
A cross-platform clipboard module for Python. (Only handles plain text for now.)
Microsoft Azure Command-Line Tools Core Module
Slack API clients for Web API and RTM API (Legacy) - Please use https://pypi.org/project/slack-sdk/ instead.
Python 3.6 and 3.7 language support for the CloudFormation CLI
Typescript language support for the CloudFormation CLI
Python Client SDK for Unstructured API
Microsoft Azure CLI Telemetry Package
Microsoft Azure Command-Line Tools
Python library for easily interacting with trained machine learning models