ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Stop fighting 'dependency drift.' Learn how Poetry uses pyproject.toml and deterministic lockfiles to ensure your Python environments are identical across all stages.
Decide where each non-core dependency lives in a Poetry project: groups for internal tooling, extras for user-facing optional features, markers for platform conditions — with a concrete pyproject.toml layout, install commands per environment, and validation steps.
Since mid 2022 it is now possible to get rid of setup.py , setup.cfg in favor of pyproject.toml . Editable installs work with recent versions of setuptools and pip and even the official packaging tutorial switched away from setup.py to pyproject.toml . However, documentation regarding requirements.txt seems to be have been also removed, and I wonder where to
Background I was about to try Python package downloaded from GitHub, and realized that it did not have a setup.py , so I could not install it with pip install -e <folder> Instead, the package had a pyproject.toml file which seems to have very similar entries as the setup.py usually has. What I found Googling lead me into PEP-518 and it gives some criti
Resolver Performance and Constraint Conflict Poetry uses a deterministic resolver and a backtracking algorithm to generate the poetry.lock file based on the constraints defined in pyproject.toml . While this ensures environment consistency, the resolution process can encounter performance bottlenecks when managing deeply nested dependency trees or restrictiv
When a project is specified only via pyproject.toml (i.e. no setup.{py,cfg} files), how can it be installed in editable mode via pip (i.e. python -m pip install -e . )? I tried both setuptools and poetry for the build system, but neither worked: [build-system] requires = ["setuptools", "wheel"] build-backend = "setuptools.build_meta" [build-system] requires
I'm trying to migrate a setuptools -based project from the legacy setup.py towards modern pyproject.toml configuration. At the same time I want to keep well established workflows based on pip-compile , i.e., a requirements.in that gets compiled to a requirements.txt (for end-user / non-library projects of course). This has important benefits as a result of t
Circular Dependency Handling in Poetry 1.5 Poetry 1.5 enforces deterministic dependency resolution using pyproject.toml as the sole configuration source and a poetry.lock file to pin exact versions. The resolver prefers the lockfile over the TOML to maintain parity across environments. In plugin-based projects, the core package may depend on a plugin that, i
python
poetry