Skip to main content

Python library for interacting with local installed MindManager(tm) on Windows and MacOS platform.

Project description

mindm

Python library for interacting with locally installed MindManager™ on Windows and macOS platforms.

PyPI version Documentation

Features

  • 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/

Project Layout

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
├── dist/         # Build artifacts generated by python -m build
└── Makefile      # Build/packaging helpers (make help for summary)

Installation

PyPI

pip install mindm

Local development

git clone https://github.com/robertZaufall/mindm
cd mindm
pip install -e ".[dev]"

Getting Started

Low-level example

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)

High-level examples

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 Specific Functionality

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

Development Workflow

  • pip install -e ".[dev]" to get linting, testing, and docs dependencies
  • make build (or python -m build) to create wheels and sdists in dist/
  • make docs to rebuild the HTML documentation under docs/_build/html
  • pytest for unit/integration coverage (add tests in tests/ or examples/)
  • python examples/test.py for 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.

Documentation

Generated docs publish to GitHub Pages: https://robertzaufall.github.io/mindm/.
Run make docs locally to validate new API additions before contributing changes.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mindm-0.0.5.2.tar.gz (99.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mindm-0.0.5.2-py3-none-any.whl (99.6 kB view details)

Uploaded Python 3

File details

Details for the file mindm-0.0.5.2.tar.gz.

File metadata

  • Download URL: mindm-0.0.5.2.tar.gz
  • Upload date:
  • Size: 99.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for mindm-0.0.5.2.tar.gz
Algorithm Hash digest
SHA256 7ed030fb9ed489a78ca02ca0c636163310eed8d435dfc665682c8e614c6df1fe
MD5 c0c5df0c077be57e251a0e8c08c50902
BLAKE2b-256 7edd11834b509eab13f98f9eea70603e86de3ff7aebbceda8bbe3cff598c29b0

See more details on using hashes here.

File details

Details for the file mindm-0.0.5.2-py3-none-any.whl.

File metadata

  • Download URL: mindm-0.0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 99.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for mindm-0.0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 daa58c3c89638ef475a054596f3a7b3ff61151eb9bf8dfcb84455f66ee1a8b1f
MD5 70808dd285548b1d23b233a2304cac44
BLAKE2b-256 0855eef80b1cd441f1c9e1aa5f05f67a8efed915589035bc84d6e302503c55a4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page