By wrapping the IBM Planning Analytics (TM1) REST API in a concise Python framework, TM1py facilitates Python developments for TM1.

Interacting with TM1 programmatically has never been easier.

with TM1Service(address='localhost', port=8001, user='admin', password='apple', ssl=True) as tm1:
    subset = Subset(dimension_name='Month', subset_name='Q1', elements=['Jan', 'Feb', 'Mar'])
    tm1.subsets.create(subset, private=True)

TM1py offers handy features to interact with TM1 from Python, such as

• Read data from cubes through cube views and MDX Queries
• Write data into cubes
• Execute processes and chores
• Execute loose statements of TI
• CRUD features for TM1 objects (cubes, dimensions, subsets, etc.)
• Query and kill threads
• Query MessageLog and TransactionLog
• Generate MDX Queries from existing cube views

• Python (3.5 or higher)
• TM1 (10.2.2 FP 5 or higher)

pip install TM1py

from TM1py.Services import TM1Service

with TM1Service(address='localhost', port=8001, user='admin', password='apple', ssl=True) as tm1:
    for chore in tm1.chores.get_all():
        chore.reschedule(hours=-1)
        tm1.chores.update(chore)

Code Documentation: http://tm1py.readthedocs.io/en/latest/

Detailed Installation instructions: https://github.com/MariusWirtz/TM1py-samples

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