Project Summary
Pyclaw is a Python-based solver for hyperbolic PDEs that includes the algorithms of Clawpack and SharpClaw. It has been designed with easy extensibility, performance, and exploration in mind. The high-level code is written in Python using numpy and based on the PyClaw package. The low-level kernels used are the Clawpack and SharpClaw routines, which are written in Fortran. The PyClaw package also includes a scalable parallel implementation of Clawpack and SharpClaw, using PETSc.
Badges
In a Nutshell, PyClaw...
- ...
- ...
-
...
has a well established, mature codebase
maintained by a large development team
with decreasing Y-O-Y commits -
...
took an estimated 8 years of effort (COCOMO model)
starting with its first commit in April, 2011
ending with its most recent commit 3 days ago
Quick Reference
BSD 4-clause (University of California-Specific)
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Forbidden
Hold Liable
Use Trademarks
Required
Include Copyright
Include License
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Vulnerability Exposure Index
Did You Know...
-
...
65% of companies leverage OSS to speed application development in 2016
-
...
you can embed statistics from Open Hub on your site
-
...
in 2016, 47% of companies did not have formal process in place to track OS code
-
...
data presented on the Open Hub is available through our API
30 Day SummaryJul 29 2025 — Aug 28 2025
|
12 Month SummaryAug 28 2024 — Aug 28 2025
|
