Skip to main content

Python library with core abstractions for software development in the qBraid ecosystem.

Project description

qbraid-core

Documentation codecov PyPI version Python verions GitHub

Python library providing core abstractions for software development within the qBraid ecosystem, and a low-level interface to a growing array of qBraid cloud services. The qbraid-core package forms the foundational base for the qBraid CLI, the qBraid SDK, and the jupyter-environment-manager.

You can find the latest, most up to date, documentation here, including a list of services that are supported.

See also: qbraid-core-js

Getting Started

You can install qbraid-core from PyPI with:

python -m pip install qbraid-core

Local configuration

After installing qbraid-core, you must configure your account credentials:

  1. Create a qBraid account or log in to your existing account by visiting account.qbraid.com
  2. Copy your API Key from the left side of your account page:
  3. Save your API key from step 2 in local configuration file. On Linux and macOS, this file is located at ~/.qbraid/qbraidrc, where ~ corresponds to your home ($HOME) directory. On Windows, the equivalent default location is %USERPROFILE%\.qbraid\qbraidrc.
[default]
api-key = YOUR_KEY
url = https://api.qbraid.com/api

Or generate your ~/.qbraid/qbraidrc file via the qbraid-core Python interface:

>>> from qbraid_core import QbraidSession
>>> session = QbraidSession(api_key='API_KEY')
>>> session.save_config()
>>> session.get_available_services()
['chat', 'environments', 'quantum', 'storage']

Other credential configuration methods are available using the qBraid-CLI.

Verify setup

After configuring your qBraid credentials, verify your setup by running the following from a Python interpreter:

>>> import qbraid_core
>>> quantum_client = qbraid_core.client('quantum')
>>> device_data = quantum_client.search_devices()
>>> for item in device_data:
...     print(item['qbraid_id'])

Community

Launch on qBraid

The "Launch on qBraid" button (below) can be added to any public GitHub repository. Clicking on it automaically opens qBraid Lab, and performs a git clone of the project repo into your account's home directory. Copy the code below, and replace YOUR-USERNAME and YOUR-REPOSITORY with your GitHub info.

Use the badge in your project's README.md:

[<img src="https://qbraid-static.s3.amazonaws.com/logos/Launch_on_qBraid_white.png" width="150">](https://account.qbraid.com?gitHubUrl=https://github.com/YOUR-USERNAME/YOUR-REPOSITORY.git)

Use the badge in your project's README.rst:

.. image:: https://qbraid-static.s3.amazonaws.com/logos/Launch_on_qBraid_white.png
    :target: https://account.qbraid.com?gitHubUrl=https://github.com/YOUR-USERNAME/YOUR-REPOSITORY.git
    :width: 150px

Project details


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 Distribution

qbraid_core-0.2.0a8.tar.gz (256.4 kB view details)

Uploaded Source

Built Distribution

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

qbraid_core-0.2.0a8-py3-none-any.whl (116.9 kB view details)

Uploaded Python 3

File details

Details for the file qbraid_core-0.2.0a8.tar.gz.

File metadata

  • Download URL: qbraid_core-0.2.0a8.tar.gz
  • Upload date:
  • Size: 256.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for qbraid_core-0.2.0a8.tar.gz
Algorithm Hash digest
SHA256 075b96db0aee23c7319ec189a84bdccf2673dde35b264b9257dda3701d48105e
MD5 2e792bdfdd757c59b9871473b385af5f
BLAKE2b-256 6e6f7cd30f658a12d331b7d67f7958d2754e69770bcb28be8f3689dd62ce10b2

See more details on using hashes here.

File details

Details for the file qbraid_core-0.2.0a8-py3-none-any.whl.

File metadata

  • Download URL: qbraid_core-0.2.0a8-py3-none-any.whl
  • Upload date:
  • Size: 116.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for qbraid_core-0.2.0a8-py3-none-any.whl
Algorithm Hash digest
SHA256 86a08de2498c37b7b74f50e7f6333c79854315a26b5793575843210d1077bc84
MD5 a6c05a6162f9544a12806d2e3ca5da26
BLAKE2b-256 c773fe1303406a65937be2451ada7ea6a54b975aa939e43e71d5ab6cfa54b988

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