python-package-migrator

To plan Python library upgrades safely, you parse dependency files like requirements.txt and pyproject.toml to assess compatibility and identify risks. This process generates an actionable upgrade plan and a compatibility report to mitigate dependency drift.

Checking FastAPI or Django compatibility before a version bump involves evaluating your codebase against major framework versions to flag potential breaking changes. This assessment is integrated into the generated upgrade plan to ensure release readiness.

Yes, you can automate dependency management in a CI workflow by generating upgrade plans suitable for automated validation. Running the migration process in dry-run mode within your CI pipelines ensures release readiness without immediately applying changes.

The best way to handle legacy Python migrations is to inspect dependency configurations across the codebase to propose target library versions. This approach identifies upgrade risks specific to legacy projects and produces a structured compatibility report.

Dependency parsing for Python upgrades supports pyproject.toml and setup.py, along with requirements.txt. Parsing these files allows the tool to extract current dependencies, propose target versions, and identify potential breaking changes across the project.