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Miniconda vs pip-tools

Miniconda

anaconda.com

pip-tools

pip-tools.readthedocs.io

Side by side

FigureMinicondapip-tools
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Plans published11
Spec score · Python Package Managers7.8 (#13)8.1 (#6)
PurposeMiniconda installs conda, Python, and their dependencies in a minimal base environment so users can build project environments from scratch.pip-tools is a set of command-line tools that keeps pinned pip-based packages fresh and helps make builds predictable and deterministic.

Plans

Miniconda

  • MinicondaFree

Miniconda pricing →

pip-tools

  • pip-toolsFree

pip-tools pricing →

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.

Visit anaconda.com

pip-tools

pip-tools is a free set of command-line tools for keeping pinned pip-based packages current and making builds more predictable. Its two core commands are pip-compile and pip-sync. pip-compile generates requirements.txt files from pyproject.toml, setup.cfg, setup.py, or requirements.in, and can handle project and optional dependencies in pyproject.toml. It can also generate hashes for pip hash-checking mode. pip-sync installs, upgrades, or removes packages to make a virtual environment match a compiled requirements.txt file. Defaults can be configured in .pip-tools.toml or pyproject.toml, and pip-compile can be used as a pre-commit hook. The tools support Linux, macOS, and Windows, and the package requires Python 3.9 or later. Compilation results may differ across operating systems, Python versions, and implementations, so the project advises compiling separately for each target environment. The default backtracking resolver is described as more robust but generally slower; the legacy resolver is deprecated. pip-tools is distributed under the BSD License.

Visit pip-tools.readthedocs.io