Dynamic

pip requirements.txt vs Pipenv

Developers should use requirements meets developers should use pipenv when working on python projects that require reproducible dependency management and isolated environments, such as web applications, data science pipelines, or microservices. Here's our take.

🧊Nice Pick

pip requirements.txt

Developers should use requirements

pip requirements.txt

Nice Pick

Developers should use requirements

Pros

  • +txt to ensure consistent dependency installation across different systems, such as in development, testing, and production environments
  • +Related to: python, pip

Cons

  • -Specific tradeoffs depend on your use case

Pipenv

Developers should use Pipenv when working on Python projects that require reproducible dependency management and isolated environments, such as web applications, data science pipelines, or microservices

Pros

  • +It is particularly useful for teams to ensure consistent development and production setups, as it locks dependencies to specific versions, preventing 'works on my machine' issues
  • +Related to: python, pip

Cons

  • -Specific tradeoffs depend on your use case

The Verdict

Use pip requirements.txt if: You want txt to ensure consistent dependency installation across different systems, such as in development, testing, and production environments and can live with specific tradeoffs depend on your use case.

Use Pipenv if: You prioritize it is particularly useful for teams to ensure consistent development and production setups, as it locks dependencies to specific versions, preventing 'works on my machine' issues over what pip requirements.txt offers.

🧊
The Bottom Line
pip requirements.txt wins

Developers should use requirements

Disagree with our pick? nice@nicepick.dev