Python library for interacting with locally installed MindManager™ on Windows and macOS platforms.
- Direct automation hooks for MindManager via platform-specific connectors in
mindm/ - High-level document model, serialization helpers, and exporters in
mindmap/ - YAML, JSON, and Mermaid serialization/deserialization helpers for round-tripping maps
- Sphinx documentation plus runnable snippets under
examples/
mindm/
├── mindm/ # Platform connectors (MindManager COM, AppleScript, etc.)
├── mindmap/ # MindmapDocument model + serialization helpers
├── docs/ # Sphinx documentation (make docs → docs/_build/html)
├── examples/ # Usage snippets / sanity scripts
pip install mindmgit clone https://github.com/robertZaufall/mindm
cd mindm
pip install -e ".[dev]"Example for iterating over all topics in a mindmap and changing the topic text to uppercase:
import mindm.mindmanager
def iterate_topics(topic):
text = m.get_text_from_topic(topic)
m.set_text_to_topic(topic, text.upper())
subtopics = m.get_subtopics_from_topic(topic)
for subtopic in subtopics:
iterate_topics(subtopic)
m = mindm.mindmanager.Mindmanager()
central_topic = m.get_central_topic()
iterate_topics(central_topic)Example for loading a mindmap from an open mindmap document and cloning it to a new document:
import mindmap.mindmap as mm
document = mm.MindmapDocument()
document.get_mindmap()
document.create_mindmap()Example for serializing a mindmap to YAML format:
import yaml
import mindmap.mindmap as mm
import mindmap.serialization as mms
document = mm.MindmapDocument()
document.get_mindmap()
guid_mapping = {}
mms.build_mapping(document.mindmap, guid_mapping)
yaml_data = mms.serialize_object(document.mindmap, guid_mapping)
print(yaml.dump(yaml_data, sort_keys=False))Example for serializing / deserializing a mindmap to / from Mermaid format including all attributes:
import json
import mindmap.mindmap as mm
import mindmap.serialization as mms
document = mm.MindmapDocument()
document.get_mindmap()
guid_mapping = {}
mms.build_mapping(document.mindmap, guid_mapping)
serialized = mms.serialize_mindmap(document.mindmap, guid_mapping, id_only=False)
print(serialized)
deserialized = mms.deserialize_mermaid_full(serialized, guid_mapping)
print(json.dumps(mms.serialize_object_simple(deserialized), indent=1))
document_new = mm.MindmapDocument()
document_new.mindmap = deserialized
document_new.create_mindmap()Example for serializing / deserializing a simplified Mermaid mindmap (text and indentation only):
import mindmap.mindmap as mm
import mindmap.serialization as mms
document = mm.MindmapDocument()
document.get_mindmap()
simple_mermaid = mms.serialize_mindmap_simple(document.mindmap)
print(simple_mermaid)
simple_root = mms.deserialize_mermaid_simple(simple_mermaid)Example for deserializing a simplified Mermaid mindmap (text and indentation only):
import mindmap.serialization as mms
mermaid = """
mindmap
Creating an AI startup
Vision & Strategy
Mission and Value
Problem statement
Value proposition
Long term goals
"""
mindmap_root = mms.deserialize_mermaid_simple(mermaid)| Platform | Supported | Not Supported |
|---|---|---|
| Windows | topics, subtopics, notes, icons, images, tags, external/topic links, relationships, RTF | floating topics, callouts, colors, lines, boundaries |
| macOS | topics, subtopics, notes, relationships | icons, images, tags, links, RTF, floating topics, callouts, colors, lines, boundaries |
pip install -e ".[dev]"to get linting, testing, and docs dependenciesmake build(orpython -m build) to create wheels and sdists indist/make docsto rebuild the HTML documentation underdocs/_build/htmlpytestfor unit/integration coverage (add tests intests/orexamples/)python examples/test.pyfor a live smoke run against a connected MindManager instance
See make help for additional automation such as version bumps (make update-version) or GitHub releases.
Generated docs publish to GitHub Pages: https://robertzaufall.github.io/mindm/.
Run make docs locally to validate new API additions before contributing changes.