torchdiffeq

v0.2.5

ODE solvers and adjoint sensitivity analysis in PyTorch. For more information about how to use this package see README

Latest version published 1 month ago
License: MIT

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Package Health Score

79 / 100

Popularity

Influential project
GitHub Stars
5.66K
Forks
938
Contributors
-

Direct Usage Popularity

TOP 10%

Based on project statistics from the GitHub repository for the PyPI package torchdiffeq, we found that it has been starred 5,659 times.

Security

No known security issues
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0.2.5 (Latest)

Security and license risk for latest version

Release Date
Nov 21, 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
71
Open PR
6
Last Release
1 month ago
Last Commit
1 month ago

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

We found that torchdiffeq 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
No
Contributing.md
No
Code of Conduct
No
Contributors
0
Funding
No

This project has seen only 10 or less contributors.

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

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Embed Package Health Score Badge

package health: 79/100 package health 79/100

Package

Python Versions Compatibility
~=3.6

Age
5 years
Latest Release
1 month ago
Dependencies
0 Direct
Versions
9
Maintainers
1
Wheels
OS Independent