vacuum-map-parser-roborock
Functionalities for Roborock vacuum map parsing
What it is and what it does
This package provides a specialized parser for the binary map format used by Roborock robotic vacuum cleaners. It takes raw map data from a Roborock device and unpacks it into a structured format that can be analyzed or rendered as an image. The parser is built on top of vacuum-map-parser-base, which provides the configuration framework for colors, sizes, drawable elements, and text overlays.
The package is intended for developers integrating Roborock vacuums into home automation systems or building companion applications. It handles the low-level binary protocol parsing so that map visualization and analysis can be built on top. Configuration is done through color palettes, drawable element lists, and image settings passed to the parser at initialization.
Use it for:
- Display real-time or historical vacuum cleaning maps in a home automation dashboard or mobile app.
- Extract room and obstacle data from Roborock maps for integration with smart home systems.
- Analyze vacuum coverage patterns or generate reports on cleaned areas.
- Build custom map visualization tools with application-specific overlays or annotations.
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Parses map data generated by Roborock vacuum cleaners, converting raw binary map files into structured data that can be rendered as images with configurable visual elements.
Yes, if you are building a home automation or companion application for Roborock vacuums. The package is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. It fills a specific niche—Roborock map parsing—with a clean dependency chain. Not relevant for general-purpose use.
Install
vacuum-map-parser-roborock on PyPI
pip
pip install vacuum-map-parser-roborockuv
uv add vacuum-map-parser-roborockpoetry
poetry add vacuum-map-parser-roborockInstalling vacuum-map-parser-roborock
Before you install
Low friction install with only two runtime dependencies (Pillow and vacuum-map-parser-base). Actively maintained with recent commits and no known vulnerabilities.
License in practice
Apache-2.0 permissive license allows use in commercial and private projects with minimal restrictions; attribution required but no copyleft obligations.
Quickstart
from vacuum_map_parser_roborock.map_data_parser import RoborockMapDataParser
from vacuum_map_parser_base.config.color import ColorsPalette
from vacuum_map_parser_base.config.image_config import ImageConfig
palette = ColorsPalette()
image_config = ImageConfig()
parser = RoborockMapDataParser(palette, Sizes(), [], image_config, [])
unpacked_map = parser.unpack_map(raw_map_bytes)
parsed_map = parser.parse(unpacked_map)
Requires Python 3.11 or later; raw map data must be obtained from Roborock vacuum device.
Verify before relying
- Whether the package supports all Roborock vacuum models or only specific firmware versions.
- Performance characteristics when parsing large or complex map files.
- Whether map rendering output formats (image types, resolutions) are documented.
Package facts
| License | Apache-2.0 (permissive) |
| Python support | supports the current Python release (<4.0,>=3.11) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 2 — Pillow, vacuum-map-parser-base |
| Maintenance | actively maintained — 88 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 85,946/month — #13,893 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: vacuum_map_parser_roborock-0.1.5-py3-none-any.whl
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