c3-toolset-nightly

v20230126

Toolset for control, calibration and characterization of physical systems For more information about how to use this package see README

Latest version published 2 years ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

51 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Active

Popularity

Small

GitHub Stars: 69
Forks: 35
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package c3-toolset-nightly, we found that it has been starred 69 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jan 26, 2023
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
2
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

We found a way for you to contribute to the project! Looks like c3-toolset-nightly is missing a security policy.

You can connect your project's repository to Snyk to stay up to date on security alerts and receive automatic fix pull requests.

Keep your project free of vulnerabilities with Snyk

Maintenance

Inactive

Commit Frequency

Open Issues: 45
Open PR: 5
Last Release: 2 years ago
Last Commit: 11 months ago

Further analysis of the maintenance status of c3-toolset-nightly based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for c3-toolset-nightly is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 20
Funding: No

With more than 10 contributors for the c3-toolset-nightly repository, this is possibly a sign for a growing and inviting community.

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Ensure all the packages you're using are healthy and well-maintained

Snyk Vulnerability Scanner

Get health score & security insights directly in your IDE

Package

Python Versions Compatibility: ~=3.7

Age: 4 years
Latest Release: 2 years ago
Dependencies: 10 Direct / 58 Total
Versions: 717
Maintainers: 0
Wheels: OS Independent

Readme

C3 - An integrated tool-set for Control, Calibration and Characterization

The C3 package is intended to close the loop between open-loop control optimization, control pulse calibration, and model-matching based on calibration data.

Installation

pip install c3-toolset

If you want to try out the bleeding edge (possibly buggy) version under development:

pip install c3-toolset-nightly

There is no official support for c3-toolset on Apple Silicon devices, but you can check the CONTRIBUTING.md for instructions on setting up an experimental version.

Usage

C3 provides a simple Python API through which it may integrate with virtually any experimental setup. Contact us at c3@q-optimize.org.

The paper introducing C3 as a scientific concept can be found in Wittler2021. Software and implementation details are described in SahaRoy2022.

Documentation is available here on RTD.

Examples

The following notebooks are available in the examples/ directory and can also be run online using the launch|binder badge above:

Contributing

If you wish to contribute, please check out the issues tab and also the CONTRIBUTING.md for useful resources.

The source code is available on Github at https://github.com/q-optimize/c3.

Citation

If you use c3-toolset in your research, please cite it as below:

@article{Wittler2021,
   title={Integrated Tool Set for Control, Calibration, and Characterization of Quantum Devices Applied to Superconducting Qubits},
   volume={15},
   DOI={10.1103/physrevapplied.15.034080},
   number={3},
   journal={Physical Review Applied},
   author={Wittler, Nicolas and Roy, Federico and Pack, Kevin and Werninghaus, Max and Saha Roy, Anurag and Egger, Daniel J. and Filipp, Stefan and Wilhelm, Frank K. and Machnes, Shai},
   year={2021},
   month={Mar}
}

c3-toolset-nightly dependencies

adaptive cma gast hjson numpy rich scipy tensorflow tensorflow-estimator tensorflow-probability

FAQs

What is c3-toolset-nightly?

Toolset for control, calibration and characterization of physical systems. Visit Snyk Advisor to see a full health score report for c3-toolset-nightly, including popularity, security, maintenance & community analysis.

Is c3-toolset-nightly popular?

The python package c3-toolset-nightly receives a total of 7,570 weekly downloads. As such, c3-toolset-nightly popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is c3-toolset-nightly well maintained?

We found indications that c3-toolset-nightly is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is c3-toolset-nightly safe to use?

While scanning the latest version of c3-toolset-nightly, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 20 December-2024, at 16:47 (UTC).

Build a secure application checklist

Select a recommended open source package

Minimize your risk by selecting secure & well maintained open source packages

DONE

Scan your app for vulnerabilities

Scan your application to find vulnerabilities in your: source code, open source dependencies, containers and configuration files

SCAN NOW

Fix identified vulnerabilities

Easily fix your code by leveraging automatically generated PRs

AUTO FIX

Monitor for new issues

New vulnerabilities are discovered every day. Get notified if your application is affected

MONITOR APP