Awesome Scientific Computing

A curated, community-maintained directory of software, libraries, and tools for numerical analysis and scientific computing.

Scientific computing and numerical analysis focus on solving large-scale scientific problems using computers, including ordinary and partial differential equations (ODEs, PDEs), their discretizations, and the resulting linear algebra problems.

Category

• Themed Directories

Tags

• Scientific computing
• Data science
• Awesome lists

Features

• Curated awesome list of software related to numerical analysis and scientific computing.
• Focus on large-scale scientific problems, including:
  • Ordinary differential equations (ODEs)
  • Partial differential equations (PDEs)
  • Discretization methods
  • Linear algebra problems arising from scientific models
• Organized contents for easier discovery of tools and libraries, including sections such as:
  • Basic linear algebra
  • Multi-purpose toolkits
  • Finite element libraries and frameworks
  • Meshing tools and libraries
    • Triangular and tetrahedral meshing
    • Quadrilateral and hexahedral meshing
    • Mesh processing and mesh tools
  • Data formats relevant to scientific computing
  • Sparse linear solvers
  • Visualization tools for numerical results and simulations
  • Other libraries and tools related to scientific computing workflows
• Community-driven project hosted on GitHub, with:
  • Clear contribution guidelines (contributing.md)
  • Standard open-source licensing (LICENSE)
• Part of the broader “awesome” ecosystem, following the Awesome list conventions and badges.

Pricing

• Not applicable – this is a free, open-source curated list.

Source

• GitHub: https://github.com/nschloe/awesome-scientific-computing#readme