pysentry-rs
Security vulnerability auditing tool for Python packages
Decision gist · record as of 2026-08-14
Yes. PySentry is actively maintained, has no runtime dependencies, supports modern Python versions (3.9–3.14), and addresses a real security need with a straightforward CLI. The MIT license is permissive. Medium install friction is acceptable given the pre-built wheels and active development. Use it if you want a fast, multi-database vulnerability scanner for Python dependencies.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- For scanning manifests without a lock file (requirements.txt, pyproject.toml, Pipfile), uv or pip-tools must be installed separately.
- Medium install friction due to pre-built wheels for multiple Python versions (3.9–3.14) and platforms.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-07-30 (15 days) · last repo commit 2026-07-31 · 245 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 99,183 downloads/mo, #13,037 on PyPI
Alternatives
Verify before relying
pip install pysentry-rs
pysentry-rs
# or scan a specific project:
pysentry-rs /path/to/project
# report only high and critical findings:
pysentry-rs --severity high- Whether the three databases (PyPA Advisory, PyPI JSON API, OSV.dev) are queried with equal coverage or if one is more complete than others
- Performance characteristics on projects with very large dependency trees
- How frequently the local cache is refreshed and whether it can be manually cleared
What it is and what it does
PySentry is a command-line vulnerability scanner for Python projects built on a Rust core. It reads your dependency manifest or lock file (supporting formats like uv.lock, poetry.lock, Pipfile.lock, pyproject.toml, requirements.txt, and others), resolves the full dependency tree, and checks every package against three vulnerability databases concurrently. It then reports what is affected, how severe it is, and what upgrade fixes it.
The tool is designed for CI pipelines and local development. It distinguishes direct from transitive dependencies, flags archived or deprecated packages, and supports multiple output formats (human-readable, JSON, SARIF, Markdown). You can set exit thresholds by severity, forbid known malicious packages, and integrate it into pre-commit hooks or GitHub Actions. It has no runtime Python dependencies and comes with pre-built binaries for common platforms.
Use it for
- Audit a Python project in CI before deployment to catch known vulnerabilities early and fail the build if critical issues are found
- Scan a requirements.txt or pyproject.toml file locally to identify outdated or vulnerable dependencies before committing
- Generate a SARIF report for GitHub Code Scanning to track vulnerabilities alongside other code quality checks
- Integrate into a pre-commit hook to prevent commits that introduce known vulnerable packages
- Reject packages flagged as malicious or quarantined by using --forbid-quarantined in your build pipeline
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
PySentry is actively maintained, has no runtime dependencies, supports modern Python versions (3.9–3.14), and addresses a real security need with a straightforward CLI. The MIT license is permissive. Medium install friction is acceptable given the pre-built wheels and active development. Use it if you want a fast, multi-database vulnerability scanner for Python dependencies.
Install
pysentry-rs on PyPI
Before you install
Medium install friction due to pre-built wheels for multiple Python versions (3.9–3.14) and platforms. Active maintenance with a release 15 days ago and regular commits. No runtime dependencies simplifies deployment.
Requires Python 3.9 or later. For scanning manifests without a lock file (requirements.txt, pyproject.toml, Pipfile), uv or pip-tools must be installed separately.
License in practice
MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install pysentry-rs
pysentry-rs
# or scan a specific project:
pysentry-rs /path/to/project
# report only high and critical findings:
pysentry-rs --severity high
Verify before relying
- Whether the three databases (PyPA Advisory, PyPI JSON API, OSV.dev) are queried with equal coverage or if one is more complete than others
- Performance characteristics on projects with very large dependency trees
- How frequently the local cache is refreshed and whether it can be manually cleared
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 15 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 99,183 / month, #13,037 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: RustTopic :: SecurityTopic :: Software Development :: Libraries :: Python Modules |
Evidence: pysentry_rs-0.4.9-cp310-cp310-macosx_10_12_x86_64.whl; pysentry_rs-0.4.9-cp310-cp310-macosx_11_0_arm64.whl; pysentry_rs-0.4.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pysentry_rs-0.4.9-cp310-cp310-manylinux_2_28_aarch64.whl; pysentry_rs-0.4.9-cp310-cp310-win_amd64.whl; pysentry_rs-0.4.9-cp311-cp311-macosx_10_12_x86_64.whl; pysentry_rs-0.4.9-cp311-cp311-macosx_11_0_arm64.whl; pysentry_rs-0.4.9-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pysentry_rs-0.4.9-cp311-cp311-manylinux_2_28_aarch64.whl; pysentry_rs-0.4.9-cp311-cp311-win_amd64.whl; pysentry_rs-0.4.9-cp312-cp312-macosx_10_12_x86_64.whl; pysentry_rs-0.4.9-cp312-cp312-macosx_11_0_arm64.whl; pysentry_rs-0.4.9-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pysentry_rs-0.4.9-cp312-cp312-manylinux_2_28_aarch64.whl; pysentry_rs-0.4.9-cp312-cp312-win_amd64.whl; pysentry_rs-0.4.9-cp313-cp313-macosx_10_12_x86_64.whl; pysentry_rs-0.4.9-cp313-cp313-macosx_11_0_arm64.whl; pysentry_rs-0.4.9-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pysentry_rs-0.4.9-cp313-cp313-manylinux_2_28_aarch64.whl; pysentry_rs-0.4.9-cp313-cp313-win_amd64.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “python dependency vulnerability scanner”
- pysentry-rsPySentry scans Python projects for known security vulnerabilities by…
- pip-auditpip-audit scans Python environments and requirements files for…
- uv-secureScans uv.lock, pylock.toml, and requirements.txt files for known…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also pysnyk · safety · uv-secure · pip-audit · socketsecurity · ca9 · guarddog · nvdlib · cvss · pysonar