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davitbzh
committedJan 26, 2025
fix bad merge
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‎docs/user_guides/fs/compute_engines.md

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2. [Python](https://www.python.org/): For pure Python environments without dependencies on Spark, Hopsworks supports [Pandas Dataframes](https://pandas.pydata.org/) and [Polars Dataframes](https://pola.rs/).
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3. [Apache Flink](https://flink.apache.org): Flink Data Streams are currently supported as an experimental feature from Java/Scala environments.
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4. [Apache Beam](https://beam.apache.org/) *experimental*: Beam Data Streams are currently supported as an experimental feature from Java/Scala environments.
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5. [Java](https://www.java.com): For pure Java environments without dependencies on Spark, Hopsworks supports writing using List of POJO Objects.
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Hopsworks supports running [compute on the platform itself](../../concepts/dev/inside.md) in the form of [Jobs](../projects/jobs/pyspark_job.md) or in [Jupyter Notebooks](../projects/jupyter/python_notebook.md).
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Alternatively, you can also connect to Hopsworks using Python or Spark from [external environments](../../concepts/dev/outside.md), given that there is network connectivity.
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For more details head over to the [Getting Started Guide](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/integrations/java/beam).
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## Java
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It is also possible to interact to Hopsworks feature store using pure Java environments without dependencies on Spark, Flink or Beam.
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However, this is limited to retrieval of feature vector(s) from the online Feature Store.
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It is also possible to interact to Hopsworks feature store using pure Java environments without dependencies on Spark, Flink or Beam.
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For more details head over to the [Getting Started Guide](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/java).

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