DaCe
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Overview
HEALTH SCORE
Healthy
82out of 100
Solid maintainer coverage and development cadence. Security posture keeps the score from reaching Excellent.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy(82/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 2 days.
Bus factor
13 active maintainers currently have merge rights.
Organization Diversity
Contributors span 27 organizations.
Project Achievements
Leaderboards
About
DaCe (Data-Centric Parallel Programming) is a programming framework that enables high-performance parallel computing by separating algorithm logic from execution optimization. It transforms Python programs with NumPy-like operations into stateful dataflow programs, allowing automatic optimization and efficient mapping to various hardware architectures like CPUs, GPUs, and FPGAs.
First commit
Software value
$7.9M
Tags
cuda
fpga
high-level-synthesis
high-performance-computing
programming-language
vivado-hls
License(s)
BSD-3-Clause
Data sources
Git
GitHub