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 increasing 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 about 1 month 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...
-
...
55% of companies leverage OSS for production infrastructure
-
...
data presented on the Open Hub is available through our API
-
...
nearly 1 in 3 companies have no process for identifying, tracking, or remediating known open source vulnerabilities
-
...
search using multiple tags to find exactly what you need
30 Day SummaryAug 19 2024 — Sep 18 2024
|
12 Month SummarySep 18 2023 — Sep 18 2024
|
