PyOpenCL
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Overview
HEALTH SCORE
Healthy
74out of 100
Solid development cadence and maintainer coverage. Security posture keeps the score from reaching Excellent.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy(74/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
Only 2 active maintainers currently have merge rights.
Organization Diversity
Contributors span 17 organizations.
Project Achievements
Leaderboards
About
PyOpenCL provides Python bindings for OpenCL, enabling developers to access parallel computing capabilities on GPUs and other accelerators through a high-level Python interface. It allows writing and executing OpenCL kernels from Python code, managing memory transfers, and coordinating parallel computations across different devices.
First commit
Software value
$2M
Tags
amd
array
cuda
gpu
heterogeneous-parallel-programming
multidimensional-arrays
nvidia
opencl
opengl
parallel-algorithm
parallel-computing
performance
prefix-sum
pyopencl
python
reduction
scientific-computing
shared-memory
sorting
License(s)
Other
Data sources
Git
GitHub