Is layer-to-layer-pytorch safe to use?

layer-to-layer-pytorch has no known vulnerabilities on the latest version (0.3.0). DepScope rates its health at 31/100 (critical risk).

What is the latest version of layer-to-layer-pytorch?

The latest version of layer-to-layer-pytorch is 0.3.0, released 2020-09-17.

Does layer-to-layer-pytorch have known vulnerabilities?

No known vulnerabilities on the latest version of layer-to-layer-pytorch.

Is layer-to-layer-pytorch deprecated?

No, layer-to-layer-pytorch is actively maintained. Latest release: 0.3.0 (2020-09-17).

What are alternatives to layer-to-layer-pytorch?

Popular alternatives to layer-to-layer-pytorch in PyPI include: python-dateutil, cffi, numpy, boto3, aiohttp.

What license does layer-to-layer-pytorch use?

layer-to-layer-pytorch is licensed under MIT.

layer-to-layer-pytorch

pypiv0.3.0

PyTorch implementation of L2L execution algorithm

License MITpermissive5 versions1 maintainers5 deps35 weekly dl

TezRomacH/layer-to-layer-pytorch

/ 100

Health

use with caution

[email protected] low health (31/100) — consider alternatives

Moderate health score (31/100) — verify manually

Health breakdown0 – 100

0/25

maintenance

0/20

popularity

25/25

security

3/15

maturity

3/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (5)

importlib_metadata typer[all]torch tqdm numpy

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/layer-to-layer-pytorch

layer-to-layer-pytorch

pypiv0.3.0

PyTorch implementation of L2L execution algorithm

License MITpermissive5 versions1 maintainers5 deps35 weekly dl

TezRomacH/layer-to-layer-pytorch

/ 100

Health

use with caution

[email protected] low health (31/100) — consider alternatives

Moderate health score (31/100) — verify manually

Health breakdown0 – 100

0/25

maintenance

0/20

popularity

25/25

security

3/15

maturity

3/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (5)

importlib_metadata typer[all]torch tqdm numpy

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/layer-to-layer-pytorch