Skip to main content

Daily Client SDK for Python

Project description

PyPI Docs

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.

daily-python

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 OpenAI, Deepgram, YOLOv5, PyTorch, OpenCV and much more.

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

daily_python-0.13.0-cp37-abi3-manylinux_2_28_x86_64.whl (13.9 MB view details)

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

daily_python-0.13.0-cp37-abi3-manylinux_2_28_aarch64.whl (13.3 MB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.28+ ARM64

daily_python-0.13.0-cp37-abi3-macosx_11_0_arm64.whl (11.0 MB view details)

Uploaded CPython 3.7+ macOS 11.0+ ARM64

daily_python-0.13.0-cp37-abi3-macosx_10_12_x86_64.whl (12.7 MB view details)

Uploaded CPython 3.7+ macOS 10.12+ x86-64

File details

Details for the file daily_python-0.13.0-cp37-abi3-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for daily_python-0.13.0-cp37-abi3-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 36905a71883297ac1ecdfe8dad7557d97e83c63d01087e9baf96cfd8b88e3b60
MD5 c8b9d18deb08a48e3be619a99590439c
BLAKE2b-256 4dba43be60cb5f261dc836038b9bf893639cff47435be3d86ce0e8183331d5d2

See more details on using hashes here.

File details

Details for the file daily_python-0.13.0-cp37-abi3-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for daily_python-0.13.0-cp37-abi3-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 9e9d42193ed7e5f0e9363cda6106d2e13044d5ed9ef4fbed80f5f8f2b8329c8f
MD5 1dca934a683bb37a90cbe82b508004b6
BLAKE2b-256 3a249a851d3dbe14b61b807d4cdf3c5a22dc00cfc18c4970fd19d1ce7e2bb95f

See more details on using hashes here.

File details

Details for the file daily_python-0.13.0-cp37-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for daily_python-0.13.0-cp37-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 57d8913a5f87ce2013d48e27249accd7a4d40454abf6000e6599735336df37de
MD5 dfe5dd915eeec84b5b1abf44e989be4c
BLAKE2b-256 8c1090b1bd3c5856b1588bed65e806934ca38d3f932aa9edf9beedcd811b1e02

See more details on using hashes here.

File details

Details for the file daily_python-0.13.0-cp37-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for daily_python-0.13.0-cp37-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 f2d2fc996c5d27865f87b2c45e4510bfc3cce7c0e20f6cf6e11f59df1413e1f7
MD5 433ac24118b60b40a1fc876f1e78fb50
BLAKE2b-256 4f69b88d5264e3dce3207ec3bf78f47b9516d014459434fb29aba0ced61b4f81

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