# What kind of custom models can be built in Sparkflows via the pyspark node?

**URL:** <https://community.sparkflows.ai/t/what-kind-of-custom-models-can-be-built-in-sparkflows-via-the-pyspark-node/241>\
**Category:** Machine Learning\
**Created:** [December 30, 2025, 2:25pm UTC](https://community.sparkflows.ai/t/what-kind-of-custom-models-can-be-built-in-sparkflows-via-the-pyspark-node/241 "2025-12-30T14:25:42Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Tarika](https://avatars.discourse-cdn.com/v4/letter/t/8491ac/32.png) [@Tarika](https://community.sparkflows.ai/u/Tarika)\
**Post date:** [December 30, 2025, 2:25pm UTC](https://community.sparkflows.ai/t/what-kind-of-custom-models-can-be-built-in-sparkflows-via-the-pyspark-node/241/1 "2025-12-30T14:25:42Z")

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One can build any custom model in Sparkflows as long as the library being used by Sparkflows is installed in the python environment. If a library which one wants to use is missing, it can easily be added to the python environment by activating the environment and then running a pip install on the package.