Bundled Dependencies vs Optional Dependencies
Developers should use bundled dependencies when deploying applications in isolated or offline environments, such as air-gapped systems, embedded devices, or containerized deployments, to guarantee that all required libraries are available without external network calls meets developers should use optional dependencies when building applications that need to support multiple configurations or environments without bloating the core installation. Here's our take.
Bundled Dependencies
Developers should use bundled dependencies when deploying applications in isolated or offline environments, such as air-gapped systems, embedded devices, or containerized deployments, to guarantee that all required libraries are available without external network calls
Bundled Dependencies
Nice PickDevelopers should use bundled dependencies when deploying applications in isolated or offline environments, such as air-gapped systems, embedded devices, or containerized deployments, to guarantee that all required libraries are available without external network calls
Pros
- +It is also valuable for creating reproducible builds in continuous integration pipelines, reducing the risk of version mismatches or broken dependencies that can occur with dynamic fetching
- +Related to: package-management, dependency-management
Cons
- -Specific tradeoffs depend on your use case
Optional Dependencies
Developers should use optional dependencies when building applications that need to support multiple configurations or environments without bloating the core installation
Pros
- +For example, in data science projects, optional dependencies might include GPU-accelerated libraries for users with compatible hardware, while others can use CPU-only versions
- +Related to: package-management, dependency-management
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Bundled Dependencies if: You want it is also valuable for creating reproducible builds in continuous integration pipelines, reducing the risk of version mismatches or broken dependencies that can occur with dynamic fetching and can live with specific tradeoffs depend on your use case.
Use Optional Dependencies if: You prioritize for example, in data science projects, optional dependencies might include gpu-accelerated libraries for users with compatible hardware, while others can use cpu-only versions over what Bundled Dependencies offers.
Developers should use bundled dependencies when deploying applications in isolated or offline environments, such as air-gapped systems, embedded devices, or containerized deployments, to guarantee that all required libraries are available without external network calls
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