halide

v19.0.0

Halide is a programming language designed to make it easier to write high-performance image and array processing code. For more information about how to use this package see README

Latest version published 11 days ago

License: MIT

PyPI

GitHub

Package Health Score

81 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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Popularity

Small

GitHub Stars: 5.93K
Forks: 1.07K
Contributors: 190

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package halide, we found that it has been starred 5,928 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 17, 2024
Direct Vulnerabilities: 0
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0
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0
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0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 979
Open PR: 63
Last Release: 11 days ago
Last Commit: 14 days ago

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

We found that halide demonstrates a positive version release cadence with at least one new version released in the past 3 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: No
Code of Conduct: Yes
Contributors: 190
Funding: No

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

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Package

Python Versions Compatibility: >=3.8

Age: 11 days
Latest Release: 11 days ago
Dependencies: 2 Direct
Versions: 1
Maintainers: 0
Wheels: Linux, macOS, Windows

Readme

Halide is a programming language designed to make it easier to write high-performance image and array processing code on modern machines. Halide currently targets:

CPU architectures: X86, ARM, Hexagon, PowerPC, RISC-V
Operating systems: Linux, Windows, macOS, Android, iOS, Qualcomm QuRT
GPU Compute APIs: CUDA, OpenCL, Apple Metal, Microsoft Direct X 12, Vulkan

Rather than being a standalone programming language, Halide is embedded in Python. This means you write Python code that builds an in-memory representation of a Halide pipeline using Halide's Python API. You can then compile this representation to an object file, or JIT-compile it and run it in the same process.

Using Halide from C++

Halide is also available as a C++ library. This package provides the development files necessary to use Halide from C++, including a CMake package. On Linux and macOS, CMake's find_package command should find Halide as long as you're in the same virtual environment you installed it in. On Windows, you will need to add the virtual environment root directory to CMAKE_PREFIX_PATH. This can be done by running set CMAKE_PREFIX_PATH=%VIRTUAL_ENV% in cmd.

Other build systems can find the Halide root path by running python -c "import halide; print(halide.install_dir())".

halide dependencies

imageio numpy

FAQs

What is halide?

Halide is a programming language designed to make it easier to write high-performance image and array processing code. Visit Snyk Advisor to see a full health score report for halide, including popularity, security, maintenance & community analysis.

Is halide popular?

We’re still processing downloads data for the python package halide. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is halide well maintained?

We found that halide demonstrated a healthy version release cadence and project activity. It has a community of 190 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is halide safe to use?

The python package halide 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 25 December-2024, at 18:28 (UTC).

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