module_sdstate

v0.2.7

Implementation of Slater Determinant states as dictionaries of states and coefficient pairs. Each state is represented with an integar treated as binary, allowing applying of Excitation operators on the state efficiently. Memory-efficient implementation of Lanczos iteration for estimating Hamiltonian spectrum range. For more information about how to use this package see README

Latest version published 10 days ago
License: MIT

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Package Health Score

69 / 100

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Popularity

Limited
GitHub Stars
98
Forks
37
Contributors
4

Direct Usage Popularity


Based on project statistics from the GitHub repository for the PyPI package module_sdstate, we found that it has been starred 98 times.

Security

No known security issues
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0.2.7 (Latest)

Security and license risk for latest version

Release Date
Nov 15, 2024
Direct Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
Indirect Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
License Risk
  • 0
    H
  • 0
    M
  • 0
    L
All security vulnerabilities belong to production dependencies of direct and indirect packages.

License
MIT

Security Policy
No

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Maintenance

Sustainable

Commit Frequency

Open Issues
2
Open PR
1
Last Release
10 days ago
Last Commit
8 months ago

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

We found that module_sdstate 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

Sustainable
Readme
Yes
Contributing.md
Yes
Code of Conduct
No
Contributors
4
Funding
No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like module_sdstate is missing a Code of Conduct.


Embed Package Health Score Badge

package health: 69/100 package health 69/100

Package

Python Versions Compatibility
<4.0,>=3.9

Age
9 months
Latest Release
10 days ago
Dependencies
0 Direct
Versions
17
Maintainers
1
Wheels
OS Independent