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conda

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A system-level, binary package and environment manager running on all major operating systems and platforms.

C

OSS

conda

Added 1 June 2026

#conda #package-management #python

Overview

Conda is a system-level, binary package and environment manager that runs on all major operating systems and platforms. It installs, updates, and manages software packages and their dependencies, primarily for Python but also for other languages.

Best for

Best for
Data scientists and developers who need reproducible, cross-platform environments with complex dependencies

Use cases

  • Create isolated Python environments for different projects
  • Install binary packages with dependency resolution
  • Reproduce environments across machines with environment files

Notes

Conda is a system-level, binary package and environment manager that runs on all major operating systems and platforms. It installs, updates, and manages software packages and their dependencies, primarily for Python but also for other languages.

7,418 stars on GitHub. Last updated 2026-06-01.

Use cases

  • Create isolated Python environments for different projects
  • Install binary packages with dependency resolution
  • Reproduce environments across machines with environment files

Pros

  • Cross-platform support for Windows, macOS, and Linux
  • Handles non-Python dependencies and binary packages
  • Strong dependency resolution and environment reproducibility

Cons

  • Can be slower than pip for simple package installations
  • Larger initial download size due to bundled dependencies
  • Not all Python packages are available via conda channels

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Cross-platform support for Windows, macOS, and Linux
  • Handles non-Python dependencies and binary packages
  • Strong dependency resolution and environment reproducibility

Cons

  • Can be slower than pip for simple package installations
  • Larger initial download size due to bundled dependencies
  • Not all Python packages are available via conda channels