Skip to main content

Daily Client SDK for Python

Project description

Daily Client SDK for Python

The Daily client SDK for Python allows you to build video and audio calling into your native desktop and server applications.

This SDK is well suited to build AI applications on the server side as it can be easily integrated with well-known Python libraries such as YOLOv5, PyTorch, OpenCV, or numpy.

The SDK's core features include:

  • Joining a Daily meeting as a participant
  • As a meeting participant, configuring inputs, publishing, and subscription settings
  • Receiving video frames from other participants
  • Receiving raw audio from all participants in the meeting
  • Sending video into a meeting
  • Sending raw audio into a meeting

This functionality can be applied to several AI use cases, including:

  • Performing object or face detection on the server side
  • Processing audio from a Speech-To-Text platform into a meeting
  • Sending audio from a Text-To-Speech platform into a meeting
  • Sending video and audio tracks to a content moderation platform
  • Using generative AI to inject video content into a meeting

Documentation

See the Daily Python API docs.

For demos on how to use daily-python, refer to the demos directory.

Installation

daily-python can be easily installed using pip:

   pip install daily-python

To upgrade:

   pip install -U daily-python

Requirements

  • Python 3.7 or newer

Usage

For usage details, visit Daily's Python SDK getting start guide.

Support

Need help or have feedback? You can reach out through our developer community or chat with our support engineers.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

daily_python-0.5.4-cp37-abi3-manylinux_2_28_x86_64.whl (24.1 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.28+ x86-64

daily_python-0.5.4-cp37-abi3-manylinux_2_28_aarch64.whl (22.5 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.28+ ARM64

daily_python-0.5.4-cp37-abi3-macosx_11_0_arm64.whl (11.6 MB view details)

Uploaded CPython 3.7+macOS 11.0+ ARM64

daily_python-0.5.4-cp37-abi3-macosx_10_12_x86_64.whl (13.2 MB view details)

Uploaded CPython 3.7+macOS 10.12+ x86-64

File details

Details for the file daily_python-0.5.4-cp37-abi3-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for daily_python-0.5.4-cp37-abi3-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 93f53fdd0c955145a87c88e693482897be593ba604cc683fddbfd5bb5a53f9d4
MD5 710b290f10d1b85da17400aa3e3839e2
BLAKE2b-256 3d97c4b461cfe337da182a9e80dc435683712658d68041aa21b561453e3aa49f

See more details on using hashes here.

File details

Details for the file daily_python-0.5.4-cp37-abi3-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for daily_python-0.5.4-cp37-abi3-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 f469dc415d613c43a1bc4fe1725470ecd1b3cbeb46628438b401e26ae949af84
MD5 a396ec8549572b7442a7de45954ba143
BLAKE2b-256 de78e06d827abf062fecea0daec9bd0db90cce65d63919d7e1b2f0f0f795f880

See more details on using hashes here.

File details

Details for the file daily_python-0.5.4-cp37-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for daily_python-0.5.4-cp37-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 637e2732791d0a17ac618803105b154a65792a17dd68d4042be44693ff302449
MD5 9568195228f098e130c921c8bfc2231a
BLAKE2b-256 a3138b732a6af7f272b50564c9c51de1429feb23586ad7075027f5bcf0530c85

See more details on using hashes here.

File details

Details for the file daily_python-0.5.4-cp37-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for daily_python-0.5.4-cp37-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 5eb5a32c525436073d35a81036faf8f67a153ac9f242ebcc9eae7ede817564e9
MD5 689dffccc1f9104ba0d3b673a9056979
BLAKE2b-256 2750f595c31f51eacd11fc662f8ee4be457617b9711ed659601c29ec4a4b9da8

See more details on using hashes here.

Supported by

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