Call out relevant differences between tools
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 28/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- performance, tooling
Research direction
The issue names no files or tests. Start by locating the benchmark setup and the locking or updating measurements for pip-tools, pipenv, poetry, and pdm; then verify whether their lock files are platform-specific and whether that explains the timing difference. Done means confirming or correcting the hypothesis and recording the relevant tool differences and benchmark impact.
Written by the indexing model from the issue text.
Description
I don't want to build an entire feature matrix for all the tools, but I think there may be spots where the differences contribute directly to the benchmark results.
Currently, pip-tools and pipenv handle locking and updating faster than poetry and pdm.
If I remember correctly, both poetry and pdm generate cross-platform compatible lock files while pip-tools and pipenv only create lock files for the current platform.
Is this correct? If so, could it attribute to the difference we see in the benchmarks?
/cc @frostming @atugushev
- Dominant language
- Makefile
- Stars
- 50
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
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