Miniconda vs Spack
Miniconda
anaconda.comSpack
spack.ioSide by side
| Figure | Miniconda | Spack |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Python Package Managers | 7.8 (#13) | 8.1 (#8) |
| Purpose | Miniconda installs conda, Python, and their dependencies in a minimal base environment so users can build project environments from scratch. | Spack is a package manager that makes installing scientific software easy on supercomputers, Linux, macOS, and Windows. |
Plans
In their own words
Miniconda
Miniconda is a free installer for conda, Python, and their dependencies. It creates a minimal base environment, letting users build separate project environments from scratch. Conda installs software, resolves dependencies, and isolates projects so changes in one environment do not affect another. Miniconda reaches the same package repositories and environment-management capabilities as Anaconda Distribution. It is designed for command-line users who know which packages they need, and Anaconda describes it as a lightweight starting point for containers, CI/CD pipelines, and other automated workflows. The installation has no graphical interface and does not add extra packages. Miniconda runs on Linux, macOS, and Windows. Listed requirements include Windows 11 version 23H2 or later, macOS 12.1 or later on Apple Silicon, and 400 MB of disk space. Linux installers require glibc 2.28 or later. Local-user installation avoids administrator permissions. Package access through Anaconda repositories may have licensing requirements.
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.