deptry 0.14.0 – detect unused Python dependencies up to 10 times faster

In plain words

deptry is a command-line tool that detects unused and missing dependencies in Python projects. The latest version 0.14.0 is up to 10 times faster than previous releases, achieving this speed improvement by using Rust to parse code instead of Python's ast module. It is designed for Python developers who want to identify and resolve dependency issues in their codebases.

written from the facts on this page · September 2026

From the sources

Find unused, missing and transitive dependencies in a Python project. - Release 0.14.0 · osprey-oss/deptry

This release significantly improves the speed of deptry , particularly for large projects, by utilizing Rust to manage the parsing of Abstract Syntax Trees (AST) from .py files and to extract the import statements. For some benchmarks, see below: Since the changes are all in the back-end, little has changed for the user other than the execution speed. The two minor notable changes are: Where earlier releases published a single .whl file to PyPi, with the move to Rust we now build and publish wheels for a variety of platforms and architectures. More specifically, wheel files for the following combinations are now available on PyPi: Alongside the ABI3 wheels, we provide a source distribution…from github.com

In the maker’s words, at launch

deptry 0.14.0 was just released, bringing significant speed improvements: It is now up to 10 times faster than the previous release! For those unfamiliar with deptry; deptry is a command line tool to check for issues with dependencies in a Python project, such as unused or missing dependencies. GitHub…

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