View numba on Snyk Open Source Advisor

Package Health Score

91 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Sustainable
community
Active

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Popularity

Key ecosystem project

GitHub Stars: 9.99K
Forks: 1.13K
Contributors: 320

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package numba, we found that it has been starred 9,993 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 13, 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

BSD-2-Clause

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 1.53K
Open PR: 104
Last Release: 5 months ago
Last Commit: 1 day ago

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

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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 320
Funding: No

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

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

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Package

Python Versions Compatibility: >=3.9

Age: 12 years
Latest Release: 5 months ago
Dependencies: 0 Direct
Versions: 113
Maintainers: 5
Wheels: Linux, macOS, Windows

Not sure how to use numba?

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

peng-cao / mripy / fft / nufft_func_cuda.py View on Github

@cuda.jit
def gaussker_2d1_cuda(x, y, c, hx, hy, nf1, nf2, nspread, tau, real_ftau, imag_ftau ):
    """This kernel function for gauss grid 1d typ1, and it will be executed by a thread."""
    i  = cuda.grid(1)
    if i > x.shape[0]:
        return
    #do the 1d griding here
    xi = x[i] % (2 * np.pi) #x, shift the source point xj so that it lies in [0,2*pi]
    yi = y[i] % (2 * np.pi) #y, shift the source point yj so that it lies in [0,2*pi]
    mx = 1 + int(xi // hx) #index for the closest grid point
    my = 1 + int(yi // hy) #index for the closest grid point
    for mmx in range(-nspread, nspread): #mm index for all the spreading points
        for mmy in range(-nspread,nspread):
            #griding with g(x,y) = exp(-(x^2 + y^2) / 4*tau)
            #ftau[(mx + mmx) % nf1, (my + mmy) % nf2] +=
            tmp = c[i] * exp(-0.25 * (\
            (xi - hx * (mx + mmx)) ** 2 + \

View more ways to use numba

FAQs

What is numba?

compiling Python code using LLVM. Visit Snyk Advisor to see a full health score report for numba, including popularity, security, maintenance & community analysis.

Is numba popular?

The python package numba receives a total of 7,552,109 weekly downloads. As such, numba popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is numba well maintained?

We found indications that numba maintenance is sustainable demonstrating some project activity. We saw a total of 320 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is numba safe to use?

The python package numba was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 22 November-2024, at 12:52 (UTC).

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numba

compiling Python code using LLVM For more information about how to use this package see README

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Numba

A Just-In-Time Compiler for Numerical Functions in Python

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Numba

A Just-In-Time Compiler for Numerical Functions in Python

Installation

Demo

Contact

FAQs

What is numba?

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Is numba well maintained?

Is numba safe to use?

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Source Code

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