A package to interact with FridayLabs AI API

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for FridayLabs from gravatar.com FridayLabs

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: FridayLabs
  • Requires: Python >=3.6
Classifiers

Project description

FridayLabs

FridayLabs is an innovative AI company dedicated to creating intelligent solutions that seamlessly integrate into everyday life. Our goal is to enhance user experiences by providing cutting-edge AI-driven technologies that simplify and enrich daily routines.

FridayLabs Python Package

The FridayLabs Python package is a simple yet powerful tool to get started with AI-powered applications. This package includes basic functionalities to demonstrate how our AI technologies can be easily implemented in various projects.

Features

  • A simple method to interact with FridayLabs AI API
  • Easy to install and use
  • Perfect for beginners looking to explore AI integration

Installation

You can install the FridayLabs package using pip:

pip install fridaylabs

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for FridayLabs from gravatar.com FridayLabs

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: FridayLabs
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

0.2.4

0.2.2

0.2.1

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

This version

0.1.2

0.1.1

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fridaylabs-0.1.2.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

fridaylabs-0.1.2-py3-none-any.whl (3.9 kB view details)

Uploaded Python 3

File details

Details for the file fridaylabs-0.1.2.tar.gz.

File metadata

  • Download URL: fridaylabs-0.1.2.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.6

File hashes

Hashes for fridaylabs-0.1.2.tar.gz
Algorithm Hash digest
SHA256 0b90b2f21a236bda9298dce5e3743efd67dbfb1f0cb054b756c47349219de750
MD5 59a20c516a59659b3bac0eca6c027d8e
BLAKE2b-256 638f3bf10f52e608c8425083f6495a9e1a834eae40d6e3a5c6f4ef0955f71354

See more details on using hashes here.

File details

Details for the file fridaylabs-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: fridaylabs-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 3.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.6

File hashes

Hashes for fridaylabs-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9914d24e46e4606875c6a06bb9c0592313ccdf661b8e19c9da79eb6e946f4e56
MD5 abbe8ba5c0f5f87de7173654c7ac834b
BLAKE2b-256 b482d644d0a5959fba2ec040cdb62cd16700f353985ce1ce700679c5041e6e79

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page