clawpack/clawpack

Package for solving hyperbolic systems of partial differential equations

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Summary Information

Updated 16 minutes ago
Added to GitGenius on February 23rd, 2026
Created on April 19th, 2012
Open Issues & Pull Requests: 46 (+0)
Number of forks: 106
Total Stargazers: 209 (+0)
Total Subscribers: 20 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.4 hours
Mean response time: 40.8 days
90th percentile: 283.5 days
Tracked items: 9

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Issue Activity (beta)

Open issues: 20
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,986 days
Stale 30+ days: 20
Stale 90+ days: 20

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • Enhancement Proposal (2)

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Detailed Description

Clawpack is a Python-based package designed for solving hyperbolic systems of partial differential equations, with particular emphasis on conservation laws and wave propagation problems. The package implements finite volume methods with shock-capturing capabilities, making it suitable for problems involving discontinuities and complex fluid dynamics phenomena. It provides adaptive mesh refinement functionality to efficiently allocate computational resources where solutions vary most rapidly.

The repository serves as the primary distribution point for Clawpack, available through multiple installation channels including PyPI, conda-forge, and direct cloning from GitHub. The package is distributed as a Python module but interfaces with underlying numerical solvers and computational kernels. Documentation is centralized at clawpack.org and includes installation instructions for both end users and developers, guidance on selecting appropriate solvers for specific problem types, a developers' guide with contribution guidelines, regression testing procedures, and information about the broader Clawpack community.

Clawpack addresses a specific niche in scientific computing focused on hyperbolic PDEs and conservation laws. The package implements multiple solver variants tailored to different problem dimensions and equation types, as indicated by the documentation's reference to choosing between different Clawpack solvers. This modular approach allows users to select solvers optimized for their particular applications rather than using a one-size-fits-all approach.

The project maintains active development with a core group of contributors. Enhancement proposals represent the most actively tracked issue category, suggesting the project continues to evolve with new features and improvements.

The repository's contributor network overlaps significantly with major scientific Python projects including scipy, numpy, and open-mpi, indicating that Clawpack developers are embedded within the broader scientific computing ecosystem. This connection suggests the package benefits from and contributes to developments in foundational numerical libraries and parallel computing infrastructure.

Clawpack's focus on finite volume methods, adaptive mesh refinement, and shock-capturing techniques positions it as a specialized tool for researchers and practitioners working with hyperbolic conservation laws in fluid dynamics, geophysics, and related fields. The emphasis on providing multiple solver options and comprehensive documentation reflects a design philosophy centered on accessibility for both novice users and experienced developers extending the package's capabilities.