Skip to main content

The author of this package has not provided a project description

Metadata

Release files for dora-openai-websocket 0.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for dora-openai-websocket 0.5.0
File Actions
dora_openai_websocket-0.5.0-cp37-abi3-win_amd64.whl CPython 3.7 abi3 Windows x86-64 Details for dora_openai_websocket-0.5.0-cp37-abi3-win_amd64.whl
dora_openai_websocket-0.5.0-cp37-abi3-musllinux_1_2_armv7l.whl CPython 3.7 abi3 Linux musl 1.2+ ARMv7l Details for dora_openai_websocket-0.5.0-cp37-abi3-musllinux_1_2_armv7l.whl
dora_openai_websocket-0.5.0-cp37-abi3-manylinux_2_28_x86_64.whl CPython 3.7 abi3 Linux glibc 2.28+ x86-64 Details for dora_openai_websocket-0.5.0-cp37-abi3-manylinux_2_28_x86_64.whl
dora_openai_websocket-0.5.0-cp37-abi3-manylinux_2_28_aarch64.whl CPython 3.7 abi3 Linux glibc 2.28+ ARM64 Details for dora_openai_websocket-0.5.0-cp37-abi3-manylinux_2_28_aarch64.whl
dora_openai_websocket-0.5.0-cp37-abi3-macosx_11_0_arm64.whl CPython 3.7 abi3 macOS 11.0+ ARM64 Details for dora_openai_websocket-0.5.0-cp37-abi3-macosx_11_0_arm64.whl

Total release size: 17.8 MB

Release files / dora_openai_websocket-0.5.0-cp37-abi3-win_amd64.whl

Download URL dora_openai_websocket-0.5.0-cp37-abi3-win_amd64.whl
Size 8.2 MB
Tags CPython 3.7 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
9977bd72d1b3bf895ec6d1f55156ff76295090f87ea5258dd678b64891e05662
BLAKE2b-256 checksum
How to use checksums
d151f5d7978ad2e825a9d3e262d5747b66defeb59a7ef2be6eef5245060be525
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / dora_openai_websocket-0.5.0-cp37-abi3-musllinux_1_2_armv7l.whl

Download URL dora_openai_websocket-0.5.0-cp37-abi3-musllinux_1_2_armv7l.whl
Size 2.2 MB
Tags CPython 3.7 Linux musl 1.2+ ARMv7l abi3
SHA-256 checksum
How to use checksums
53d9761e609c25d39ea5a954b9aaa58583f33d1cb02fa3eba3a4008c0b32d2cd
BLAKE2b-256 checksum
How to use checksums
0082ab706a14b41911429f00e700e42d71d0466440551efe6ed0143382259ca6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / dora_openai_websocket-0.5.0-cp37-abi3-manylinux_2_28_x86_64.whl

Download URL dora_openai_websocket-0.5.0-cp37-abi3-manylinux_2_28_x86_64.whl
Size 2.6 MB
Tags CPython 3.7 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum
How to use checksums
0cae220e2b9a71370c90bd542db610d55c22d1abfafb258b65edb25f7b428d67
BLAKE2b-256 checksum
How to use checksums
dfb47c97b5f9789c8c3421a00a794c290d4d0c7e0d44e0626c6b54a236a460f0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / dora_openai_websocket-0.5.0-cp37-abi3-manylinux_2_28_aarch64.whl

Download URL dora_openai_websocket-0.5.0-cp37-abi3-manylinux_2_28_aarch64.whl
Size 2.4 MB
Tags CPython 3.7 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum
How to use checksums
edf847236c4f2c7132d3839167c26cedd0e0dc0ae0cbbd2f42086425604de8d1
BLAKE2b-256 checksum
How to use checksums
dca67c6a340c2bc8c9a53d88fef503274e27bee9360956c5f078f48c88ff47d5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / dora_openai_websocket-0.5.0-cp37-abi3-macosx_11_0_arm64.whl

Download URL dora_openai_websocket-0.5.0-cp37-abi3-macosx_11_0_arm64.whl
Size 2.5 MB
Tags CPython 3.7 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
edf5e52dafa1bd94d84e3b1474b4745d794dd0a7663400d13aafb76db92c1a50
BLAKE2b-256 checksum
How to use checksums
4f0c1ccffa0d6b79784252137e7f7632cdefcdda3947bf99ae35f0c3bf6ad0f6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for dora-openai-websocket 0.5.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page