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-0.6.4-cp37-abi3-manylinux_2_28_x86_64.whl (23.8 MB view details)

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

daily_python-0.6.4-cp37-abi3-manylinux_2_28_aarch64.whl (22.1 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.28+ ARM64

daily_python-0.6.4-cp37-abi3-macosx_11_0_arm64.whl (11.2 MB view details)

Uploaded CPython 3.7+macOS 11.0+ ARM64

daily_python-0.6.4-cp37-abi3-macosx_10_12_x86_64.whl (12.8 MB view details)

Uploaded CPython 3.7+macOS 10.12+ x86-64

File details

Details for the file daily_python-0.6.4-cp37-abi3-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for daily_python-0.6.4-cp37-abi3-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ef28fb0eeb9b0d15a4df1c73a362ddf75f9c2ae3b7fdc796cb8c015bd59f95a6
MD5 d52611feb452bd3ad5ac5924faa19aba
BLAKE2b-256 b632024b3443b477af402c7d8019d81f10cf1845f06eb2ab48352b7cdb4f5988

See more details on using hashes here.

File details

Details for the file daily_python-0.6.4-cp37-abi3-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for daily_python-0.6.4-cp37-abi3-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 35c189ebb216389ea7167a74e3a5bd12230d2325533a39e9a0820c71d1137c0e
MD5 54ed488f3e61822c23de029fd0378916
BLAKE2b-256 b46b411df20f22c8ce23958f43a3ca967c4304730db50c59e9b52917b6fdef5d

See more details on using hashes here.

File details

Details for the file daily_python-0.6.4-cp37-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for daily_python-0.6.4-cp37-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a2cf5b8fc92350bc3a205e12eb215228ad7fc679ba391c6bda1cbcd3a4287be1
MD5 849f4d2cc95f396b14f7727abb8dad8a
BLAKE2b-256 326c83c7062571779433b20f7d2789c004b8dac64b28a7e81da153e973d07d7d

See more details on using hashes here.

File details

Details for the file daily_python-0.6.4-cp37-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for daily_python-0.6.4-cp37-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 f406dacebadd7f991a539469083676611214bdd2f652dcf2ee2573749b817de7
MD5 87cea7bf00a33842035d2adec6fce0a4
BLAKE2b-256 cd51ca15e94f8e11095cadb7b31e92185c16847db3177d3ed3f19961c6099de6

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