quacc

v0.11.7

A platform to enable high-throughput, database-driven quantum chemistry and computational materials science For more information about how to use this package see README

Latest version published 1 month ago

License: BSD-3-Clause

PyPI

GitHub

Package Health Score

78 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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Popularity

Small

GitHub Stars: 176
Forks: 48
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package quacc, we found that it has been starred 176 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 11, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 36
Open PR: 7
Last Release: 1 month ago
Last Commit: 14 days ago

Further analysis of the maintenance status of quacc based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that quacc demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: No
Code of Conduct: Yes
Contributors: 30
Funding: No

With more than 10 contributors for the quacc repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.10

Age: 3 years
Latest Release: 1 month ago
Dependencies: 1 Direct
Versions: 71
Maintainers: 1
Wheels: No

Readme

`quacc` – The Quantum Accelerator 🦆

Python - Version PyPI - Version

quacc is a flexible platform for computational materials science 💎 and quantum chemistry 🧪 that is built for the big data era 🔥. It is maintained by the Rosen Research Group at Princeton University.

quacc makes it possible to easily run pre-made computational materials science workflows that can be efficiently dispatched anywhere: locally, HPC, the cloud, or any combination thereof.
quacc gives you the freedom of choice. Through a single, unified interface to several workflow management solutions, you can use what best suits your unique computing needs.
quacc leverages community resources so we don't reinvent the wheel. It is built around the Atomic Simulation Environment and much of the software infrastructure powering the Materials Project.

Documentation 📖

Learn More Here!

... or skip to one of the following sections:

Citation 📝

If you use quacc in your work, please cite it as follows:

quacc – The Quantum Accelerator, https://doi.org/10.5281/zenodo.7720998.

License ⚖️

quacc is released under a BSD 3-Clause license.

quacc dependencies

psutil

FAQs

What is quacc?

A platform to enable high-throughput, database-driven quantum chemistry and computational materials science. Visit Snyk Advisor to see a full health score report for quacc, including popularity, security, maintenance & community analysis.

Is quacc popular?

The python package quacc receives a total of 1,327 weekly downloads. As such, quacc popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is quacc well maintained?

We found that quacc demonstrated a healthy version release cadence and project activity. It has a community of 30 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is quacc safe to use?

The python package quacc was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 11 November-2024, at 07:55 (UTC).

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