
Security News
Another Round of TEA Protocol Spam Floods npm, But It’s Not a Worm
Recent coverage mislabels the latest TEA protocol spam as a worm. Here’s what’s actually happening.
dependency-detective
Advanced tools
DependencyDetective is a powerful tool for analyzing Python project dependencies. It scans your project to identify installed packages, compare them with requirements.txt (if it exists), and analyze usage across files. This tool helps maintain clean and efficient Python projects by providing insights into package usage and potential issues.
pip install dependency-detective
dependency-detective /path/to/your/project [options]
Optional arguments:
--requirements, -r: Specify a custom path to the requirements.txt file (default: requirements.txt)--output, -o: Specify an output file for the analysis report--new-requirements, -n: Generate a new requirements.txt with only necessary packages--exclude, -e: Specify directories to exclude from analysis (default: venv .venv env .env)--verbose, -v: Enable verbose loggingdependency-detective /path/to/your/project -r custom_requirements.txt -o analysis_report.txt -n new_requirements.txt -e venv example_dir
This command will:
/path/to/your/projectcustom_requirements.txt as the requirements fileanalysis_report.txtnew_requirements.txt with only necessary packagesvenv and example_dir directories from the analysisDependencyDetective generates a report that includes:
The new requirements file (if requested) will contain only the packages directly used in your project, helping to minimize unnecessary dependencies.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
FAQs
A tool to analyze Python project dependencies
We found that dependency-detective demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Security News
Recent coverage mislabels the latest TEA protocol spam as a worm. Here’s what’s actually happening.

Security News
PyPI adds Trusted Publishing support for GitLab Self-Managed as adoption reaches 25% of uploads

Research
/Security News
A malicious Chrome extension posing as an Ethereum wallet steals seed phrases by encoding them into Sui transactions, enabling full wallet takeover.