# TensorFlow I/O

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![](https://tensorflow.org/images/SIGIO.png)  

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TensorFlow I/O is an extension package to Tensorflow, which encompasses io support for
a collection of file systems and file formats that are not available in TensorFlow's built-in support.
Integrations with many systems and cloud vendors include (but not limited to):

- Prometheus
- Apache Kafka
- Apache Ignite
- Google Cloud BigQuery
- Google Cloud PubSub
- AWS Kinesis
- Microsoft Azure Storage
- Alibaba Cloud OSS etc.

## Community

- SIG IO [Google Group](https://groups.google.com/a/tensorflow.org/forum/#!forum/io) and mailing list: [io@tensorflow.org](https://www.tensorflow.org/io/io@tensorflow.org)
- SIG IO [Monthly Meeting Notes](https://docs.google.com/document/d/1CB51yJxns5WA4Ylv89D-a5qReiGTC0GYum6DU-9nKGo/edit)
- Gitter room: [tensorflow/sig-io](https://gitter.im/tensorflow/sig-io)

## More Information

- [TensorFlow with Apache Arrow Datasets](https://medium.com/tensorflow/tensorflow-with-apache-arrow-datasets-cdbcfe80a59f) - [Bryan Cutler](https://github.com/BryanCutler)
- [How to build a custom Dataset for Tensorflow](https://towardsdatascience.com/how-to-build-a-custom-dataset-for-tensorflow-1fe3967544d8) - [Ivelin Ivanov](https://github.com/ivelin)
- [TensorFlow on Apache Ignite](https://medium.com/tensorflow/tensorflow-on-apache-ignite-99f1fc60efeb) - [Anton Dmitriev](https://github.com/dmitrievanthony)

## License

[Apache License 2.0](https://github.com/tensorflow/io/blob/master/LICENSE)