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Spack vs virtualenv

Spack

spack.io

virtualenv

virtualenv.pypa.io

Side by side

FigureSpackvirtualenv
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Self-hostedYes—
Plans published11
Spec score · Python Package Managers8.1 (#8)7.3 (#23)
IntegrationsSpack's services page lists GitLab, CDash, Grafana, Prometheus, and Metabase.The documentation names tox, poetry, and pipx as tools that use virtualenv’s programmatic API.
LicenseSpack is distributed under the MIT license or Apache License 2.0, at the user's option.virtualenv is distributed under the MIT License.
PurposeSpack is a package manager that makes installing scientific software easy on supercomputers, Linux, macOS, and Windows.virtualenv is a command-line tool for creating isolated Python environments.

Plans

Spack

  • SpackFree

Spack pricing →

virtualenv

  • virtualenvFree

virtualenv pricing →

In their own words

Spack

Spack is a package manager for installing scientific software on supercomputers, Linux, macOS, and Windows. It is designed for large supercomputing centers that share software across clusters and varied architectures, and is available at free. Users can choose package versions, compiler choices, target architectures, and compile-time options, while controlling direct and transitive dependencies. Spack can build stacks that combine Python or R packages with C, C++, or Fortran libraries. Each distinct package and dependency configuration receives its own prefix, so different builds can coexist without a new installation disrupting an existing one. Software can be installed to a user-selected directory without administrator privileges. Spack primarily builds customized software from source and also supports binary installation through build caches. It supports lockfiles, environment management, and private registries. Package recipes are Python scripts, and the `spack create` command generates starter boilerplate. The project is distributed under either the MIT license or Apache License 2.0, at the user's option.

Visit spack.io

virtualenv

virtualenv has no write-up on Specifiction yet; its figures are above.

Visit virtualenv.pypa.io