Is learning-curves safe to use?

learning-curves has no known vulnerabilities on the latest version (0.2.2). DepScope rates its health at 30/100 (critical risk).

What is the latest version of learning-curves?

The latest version of learning-curves is 0.2.2, released 2019-04-11.

Does learning-curves have known vulnerabilities?

No known vulnerabilities on the latest version of learning-curves.

Is learning-curves deprecated?

No, learning-curves is actively maintained. Latest release: 0.2.2 (2019-04-11).

What are alternatives to learning-curves?

Popular alternatives to learning-curves in PyPI include: urllib3, setuptools, pyyaml, pytest, jinja2.

What license does learning-curves use?

learning-curves is licensed under MIT.

depscope

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depscope/pypi/learning-curves

learning-curves

pypiv0.2.2

Python module allowing to easily calculate and plot the learning curve of a machine learning model and find the maximum expected accuracy

License MITpermissive2 versions1 maintainers0 deps5 weekly dl

H4dr1en/learning-curves

/ 100

Health

use with caution

[email protected] low health (30/100) — consider alternatives

DepScope

Package intelligence for AI agents. 19 ecosystems.

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API Documentation Hallucination Benchmark For Enterprise Swagger / OpenAPI Popular Packages Coverage AI Plugin Setup Watch the pitch (60s)

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depscope/pypi/learning-curves

learning-curves

pypiv0.2.2

Python module allowing to easily calculate and plot the learning curve of a machine learning model and find the maximum expected accuracy

License MITpermissive2 versions1 maintainers0 deps5 weekly dl

H4dr1en/learning-curves

/ 100

Health

use with caution

[email protected] low health (30/100) — consider alternatives

DepScope

Package intelligence for AI agents. 19 ecosystems.

Resources

API Documentation Hallucination Benchmark For Enterprise Swagger / OpenAPI Popular Packages Coverage AI Plugin Setup Watch the pitch (60s)

Legal

Legal hub Privacy Policy Terms of Service Cookie Policy Acceptable Use Attribution DPA Sub-processors Security ImprintContact 中文

Moderate health score (30/100) — verify manually

Health breakdown0 – 100

0/25

maintenance

0/20

popularity

25/25

security

3/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

API access

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curl https://depscope.dev/api/check/pypi/learning-curves