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title: "Packages"
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## sparklyr
- [Reference](/packages/sparklyr/latest/reference) - Package index
- [News](/packages/sparklyr/latest/news.html)
## On CRAN
| Package | Description |
|---------------------|---------------------------------------------------|
| [`pysparklyr`](/packages/pysparklyr/index.md) | Integrate `sparklyr` with Spark Connect and Databricks Connect (v2) |
| [`sparkxgb`](/packages/sparkxgb/index.md) | A `sparklyr` extension that provides an interface to [XGBoost](https://github.com/dmlc/xgboost) on Spark. |
| [`graphframes`](/packages/graphframes/index.md) | Enables graph analysis in Spark via GraphFrames |
## On Github
| Package | Description |
|----------------------|--------------------------------------------------|
| [`sparktf`](/packages/sparktf/index.md) | Allows writing of Spark DataFrame's to TFRecord, the recommended format for persisting data to be used in training with TensorFlow |
| [`mleap`](/packages/mleap/index.md) | A `sparklyr` extension that provides an interface to [MLeap](https://github.com/combust/mleap), which allows us to take Spark pipelines to production. |