Category: TM1Py

  • TM1py v1.8 is now available

    TM1py v1.8 is now available

    A new version of TM1py is now available including many new features. Most of these features are coming from the TM1py community. Please join the TM1py community on GitHub to discuss the future of TM1py and to keep up-to-date with the latest developments.

  • 5 reasons why you should use TM1py

    5 reasons why you should use TM1py

    As an IBM Planning Analytics (TM1) developer, you probably already got asked one of these questions:

  • Connecting Data Lake into TM1

    Connecting Data Lake into TM1

    Even if IBM Planning Analytics with Watson (TM1) can handle massive amount of data, you get the requirement to either load or extract data from another system. It could be a data lake like the one from Azure or Amazon.

  • IBM Planning Analytics with Watson & Python Webinar Series

    IBM Planning Analytics with Watson & Python Webinar Series

    The IBM Planning Analytics ecosystem has never been so vibrant and innovative.Join us as we explore how this innovation can assist you and your organization forecast smarter, faster when using IBM Planning Analytics with Watson.

  • Simplify MDX in TM1 with Arc and TM1py

    Simplify MDX in TM1 with Arc and TM1py

    MDX plays an even bigger role in the TM1 server since the release of IBM Planning Analytics (TM1 v11). Each time a view is refreshed or you open a subset, behind the scenes Planning Analytics for Excel (PAfE) or Planning Analytics Workspace (PAW) executes MDX queries.

  • How to authenticate to TM1 with TM1py

    This article explains the different authentication method to TM1 with TM1py:

  • Save time testing TM1 security with impersonation

    Save time testing TM1 security with impersonation

    Setting the TM1 security data is a critical part of any IBM Planning Analytics project. TM1 gives developers a lot of flexibility in terms of security. If your TM1 applications have hundreds of TM1 users, testing the security is time-consuming. This article explains how the TM1 impersonation feature can save time when testing TM1 users’…

  • TM1py v1.6 is now available

    TM1py v1.6 is now available

    The TM1py community is growing bigger and bigger. For each release, we can see the number of contributions increasing. For v1.6, we would like to thank @rkvinoth, @scrambldchannel, @andreyea, @adscheevel, @wimgielis, @rclapp for contributing code to this release, and many others for reporting bugs and requesting features.

  • Meet the TM1py community

    Meet the TM1py community

    Since its official first release in 2016, the TM1py project evolved from a framework created and maintained by one person to a community project that is currently powering many TM1 applications.

  • Making TM1 applications faster and lighter

    Making TM1 applications faster and lighter

    There are three key principles that a IBM Planning Analytics powered by TM1 (TM1) developer needs to keep in mind when building TM1 applications: