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CADISHI
Software package for efficient computation of Euclidean distance histograms from 3D Cartesian coordinate data, driving high-performance kernels pydh (CPU) and cudh (optional GPU...
What is CADISHI?
Software package for efficient computation of Euclidean distance histograms from 3D Cartesian coordinate data, driving high-performance kernels pydh (CPU) and cudh (optional GPU) written in C++ and CUDA.
Product typeScientific Models
PricingCADISHI is installed locally as an open-source package. ·
DeploymentSelf-hosted
APINot available
What teams use CADISHI for
Computing Euclidean distance histograms from 3D Cartesian coordinate data
Particle-pair distance histogram calculation on CPUs and GPUs
Analysis of molecular dynamics and astrophysical datasets
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
