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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file daily_python-0.5.3-cp37-abi3-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: daily_python-0.5.3-cp37-abi3-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 24.1 MB
- Tags: CPython 3.7+, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
29b9e7a47df5be6a86cc9a8b0c853376c507a2de48d330a2fef5c7c1ae626f6a
|
|
| MD5 |
a86377fd2150ffdabd05f9a089954959
|
|
| BLAKE2b-256 |
82cba2c610ef6d6fdd64a2014ab7fad1ea3f0adba07d4d759263140b45894638
|
File details
Details for the file daily_python-0.5.3-cp37-abi3-manylinux_2_28_aarch64.whl.
File metadata
- Download URL: daily_python-0.5.3-cp37-abi3-manylinux_2_28_aarch64.whl
- Upload date:
- Size: 22.5 MB
- Tags: CPython 3.7+, manylinux: glibc 2.28+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0fbe36d7cda000af3f94130294dd2d9b28b253462cc1a382dffb50efa2e7da66
|
|
| MD5 |
c493f8012518da04144e5ccf467307a2
|
|
| BLAKE2b-256 |
ac34345e2fe6ba56b90bc7760025be5fb87f96a610b85bc9c04911417136b9f1
|
File details
Details for the file daily_python-0.5.3-cp37-abi3-macosx_11_0_arm64.whl.
File metadata
- Download URL: daily_python-0.5.3-cp37-abi3-macosx_11_0_arm64.whl
- Upload date:
- Size: 11.6 MB
- Tags: CPython 3.7+, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0d9de82567af4f0e02eb4cf3bd5248e476876e458bc663da762bdf65965f3b0a
|
|
| MD5 |
13f0cb69e2a7da7c091edc65d174fddc
|
|
| BLAKE2b-256 |
c5e03faa7a223b882ffb153b0c626abb8131dcb199be983467578b73f802331d
|
File details
Details for the file daily_python-0.5.3-cp37-abi3-macosx_10_12_x86_64.whl.
File metadata
- Download URL: daily_python-0.5.3-cp37-abi3-macosx_10_12_x86_64.whl
- Upload date:
- Size: 13.2 MB
- Tags: CPython 3.7+, macOS 10.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
de03df18c6b3121f513f7b478f21d23bd04e07efc415e172562f8b2d8b7974bd
|
|
| MD5 |
0355117085cecfbda254221ef0b5dea6
|
|
| BLAKE2b-256 |
2c2c3f53e84f8fb2316c75cc690566c9605e312233a34ac3cac7e3493fe1b0c7
|
