dissect.volume
A Dissect module implementing a parser for different disk volume and partition systems, for example LVM2, GPT and MBR
Decision gist · record as of 2026-08-14
Yes, if you need to parse disk partitions programmatically in a forensics or system analysis context. The low install friction, active maintenance, and production-stable status make it reliable. However, the AGPL-3.0-or-later license requires careful review if you plan to use it in proprietary software.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction install with only two runtime dependencies (dissect.cstruct, dissect.util).
- Actively maintained with recent commits and production-stable status.
License · maintenance · safety
AGPL-3.0-or-later (agpl) — Released under AGPL-3.0-or-later; use in proprietary software requires careful licensing review or source code disclosure obligations.
last release 2026-02-24 (171 days) · last repo commit 2026-07-30 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 92,040 downloads/mo, #13,484 on PyPI
Alternatives
Verify before relying
pip install dissect.volume
import dissect.volume
# Parse partition metadata from a volume object- Whether the package supports parsing additional volume systems beyond LVM2, GPT, and MBR.
- Performance characteristics when parsing very large or complex partition tables.
- Whether dissect.volume is typically used standalone or primarily as part of the larger dissect framework.
What it is and what it does
dissect.volume is a parser library for disk volume and partition systems, part of the Dissect framework. It reads and interprets the metadata structures of common partitioning schemes—LVM2, GPT, and MBR—to expose partition information programmatically. The package is built on top of dissect.cstruct and dissect.util, providing low-level binary parsing of partition tables and volume metadata.
Typically used in digital forensics, disk analysis, and system administration workflows where you need to programmatically understand disk layout without relying on OS-level tools. It requires Python 3.10 or later and installs with minimal dependencies, making it suitable for integration into analysis pipelines or forensic tooling.
Use it for
- Forensic analysis: parse disk images to extract partition structure and identify volumes.
- Disk imaging tools: integrate partition parsing into backup or cloning utilities.
- System administration: programmatically enumerate and analyze partition schemes.
- Malware analysis: examine disk artifacts in isolated environments.
- Data recovery: reconstruct partition information from damaged disk headers.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to parse disk partitions programmatically in a forensics or system analysis context.
The low install friction, active maintenance, and production-stable status make it reliable. However, the AGPL-3.0-or-later license requires careful review if you plan to use it in proprietary software.
Install
dissect-volume on PyPI
Before you install
Low friction install with only two runtime dependencies (dissect.cstruct, dissect.util). Actively maintained with recent commits and production-stable status.
Requires Python 3.10 or later.
License in practice
Released under AGPL-3.0-or-later; use in proprietary software requires careful licensing review or source code disclosure obligations.
Quickstart
pip install dissect.volume
import dissect.volume
# Parse partition metadata from a volume objectVerify before relying
- Whether the package supports parsing additional volume systems beyond LVM2, GPT, and MBR.
- Performance characteristics when parsing very large or complex partition tables.
- Whether dissect.volume is typically used standalone or primarily as part of the larger dissect framework.
Package facts
| License | AGPL-3.0-or-later agpl |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesdissect.cstructdissect.util |
| Maintenance | Actively maintained 171 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 92,040 / month, #13,484 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: Information TechnologyOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Internet :: Log AnalysisTopic :: Scientific/Engineering :: Information AnalysisTopic :: SecurityTopic :: Utilities |
Evidence: dissect_volume-3.18-py3-none-any.whl
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See also dissect.hypervisor · dissect.ntfs · acquire · dissect.target · dissect.util · dissect.cstruct · mrcfile · os-brick · binpacking · pyobjc-framework-DiskArbitration