Python
Introduction
JFrog Xray provides security and compliance analysis for Python applications throughout the software development lifecycle. This page describes the supported scan contexts, package managers, capabilities, and dependency analysis available for Python.
Capabilities
| Capability | Source Code Scanning | Binary Scanning |
|---|---|---|
| Vulnerability Matching (CVEs) | ✅ | ✅ |
| License Detection | ✅ | ✅ |
| Malicious Package Detection | ✅ | ✅ |
| Operational Risk | ❌ | ❌ |
| Smart Remediation | 🔜 | 🔜 |
Source code scanning analyzes your project's dependency manifest files to identify components and their vulnerabilities. This is used by JFrog CLI (jf audit), Frogbot, IDE integrations, and CI pipelines.
Supported Files
| Package Manager | Supported Files |
|---|---|
| PyPI | requirements.txt, pyproject.toml, poetry.lock, Pipfile.lock, uv.lock, setup.py, wheels (*.whl), eggs (*.egg) – pip, poetry, pipenv, uv, setuptools |
| Conda | conda-meta/*.json – Installed Conda environment metadata |
Dependency Graph
| Package Manager | Dependency Graph |
|---|---|
| PyPI | ⚠️ Flat – No parent-child relationships, no transitive tracking |
| Conda | ⚠️ Flat – Installed packages enumerated, no graph |
Additional Information
Python source code scanning via jf audit requires pip and requirements.txt. Frogbot V3 expands support to poetry, pipenv, uv, setuptools, and Conda environment metadata.
Updated about 2 months ago
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