View simdkalman on Snyk Open Source Advisor

Package Health Score

56 / 100

security
Security review needed
popularity
Recognized
maintenance
Inactive
community
Limited

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Popularity

Recognized

GitHub Stars: 178
Forks: 38
Contributors: 3

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package simdkalman, we found that it has been starred 178 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Dec 16, 2023
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

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Maintenance

Inactive

Commit Frequency

Open Issues: 1
Open PR: 0
Last Release: 11 months ago
Last Commit: 11 months ago

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

We found that simdkalman demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 3
Funding: No

This project has seen only 10 or less contributors.

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

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Package

Python Versions Compatibility: ==2.7.*, ==3.*

Age: 7 years
Latest Release: 11 months ago
Dependencies: 1 Direct / 1 Total
Versions: 9
Maintainers: 1
Wheels: OS Independent

Not sure how to use simdkalman?

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

oseiskar / simdkalman / tests / testsuite.py View on Github

def test_em_algorithm_multi_dimensional_observations(self):
        training_matrix = np.ones((5,10,2))
        training_matrix[1,1,1] = np.nan

        kf = simdkalman.KalmanFilter(
            state_transition = np.eye(2),
            process_noise = 0.1,
            observation_model = np.array([[1,1], [0,1]]),
            observation_noise = 0.1)

        r = kf.em(training_matrix, n_iter=5, verbose=False)

        self.assertSequenceEqual(r.process_noise.shape, (5,2,2))
        A0 = r.process_noise[0,...]
        self.assertMatrixEqual(A0, A0.T, epsilon=1e-8)
        self.assertTrue(min(np.linalg.eig(A0)[0]) > 0)

        B = r.observation_noise
        self.assertSequenceEqual(B.shape, (5,2,2))
        self.assertTrue(min(np.linalg.eig(B[0,...])[0]) > 0)

View more ways to use simdkalman

simdkalman dependencies

numpy

FAQs

What is simdkalman?

Kalman filters vectorized as Single Instruction, Multiple Data. Visit Snyk Advisor to see a full health score report for simdkalman, including popularity, security, maintenance & community analysis.

Is simdkalman popular?

The python package simdkalman receives a total of 15,875 weekly downloads. As such, simdkalman popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is simdkalman well maintained?

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

Is simdkalman safe to use?

While scanning the latest version of simdkalman, 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 4 November-2024, at 04:49 (UTC).

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simdkalman

Kalman filters vectorized as Single Instruction, Multiple Data For more information about how to use this package see README

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What is simdkalman?

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Snyk Vulnerability Scanner

Not sure how to use simdkalman?

simdkalman dependencies

FAQs

What is simdkalman?

Is simdkalman popular?

Is simdkalman well maintained?

Is simdkalman safe to use?

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Source Code

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