View nlp on Snyk Open Source Advisor

Package Health Score

66 / 100

security
Security review needed
popularity
Recognized
maintenance
Inactive
community
Active

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Popularity

Recognized

GitHub Stars: 18.36K
Forks: 2.51K
Contributors: 450

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nlp, we found that it has been starred 18,363 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Aug 3, 2020
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Inactive

Commit Frequency

Open Issues: 595
Open PR: 73
Last Release: 4 years ago
Last Commit: 10 days ago

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

An important project maintenance signal to consider for nlp is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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: Yes
Code of Conduct: Yes
Contributors: 450
Funding: No

A good and healthy external contribution signal for nlp project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: ==3.6.*, ==3.7.*

Age: 4 years
Latest Release: 4 years ago
Dependencies: 9 Direct / 15 Total
Versions: 8
Maintainers: 2
Wheels: OS Independent

Not sure how to use nlp?

To help you get started, we've collected the most common ways that nlp is being used within popular public projects.

PythonOptimizers / NLP.py / tests / tools / test_dercheck.py View on Github

model = Rosenbrock(request.param)
    x = np.ones(model.nvar)
    x[1::2] = -1
    dcheck = DerivativeChecker(model, x, tol=1.0e-4)
    dcheck.check()
    dcheck.check(cheap_check=True, hess=False)
    return dcheck


def test_rosenbrock(rosenbrock_checker):
    assert (len(rosenbrock_checker.grad_errs) == 0)
    assert (len(rosenbrock_checker.hess_errs) == 0)
    assert (len(rosenbrock_checker.cheap_grad_errs) == 0)


class Erroneous(NLPModel):

    def __init__(self, nvar, **kwargs):
        kwargs.pop("m", None)
        super(Erroneous, self).__init__(nvar, m=1, **kwargs)

    def obj(self, x):
        return 0.5 * np.dot(x, x)

    def grad(self, x):
        g = x.copy()
        g[0] += 1  # error: should be x[0].
        return g

    def hess(self, x, *args, **kwargs):
        obj_weight = kwargs.get('obj_weight', 1.0)
        H = np.eye(self.nvar)

View more ways to use nlp

nlp dependencies

dataclasses dill filelock numpy pandas pyarrow requests tqdm xxhash

FAQs

What is nlp?

HuggingFace/NLP is an open library of NLP datasets. Visit Snyk Advisor to see a full health score report for nlp, including popularity, security, maintenance & community analysis.

Is nlp popular?

The python package nlp receives a total of 2,408 weekly downloads. As such, nlp popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is nlp well maintained?

We found indications that nlp is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is nlp safe to use?

While scanning the latest version of nlp, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 25 April-2024, at 12:02 (UTC).

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nlp

HuggingFace/NLP is an open library of NLP datasets. For more information about how to use this package see README

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nlp dependencies

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Commit Frequency

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Not sure how to use nlp?

nlp dependencies

FAQs

What is nlp?

Is nlp popular?

Is nlp well maintained?

Is nlp safe to use?

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Source Code

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