[**Documentation**](#documentation) | [Latest releases](#latest-releases) | [Get support][GitHub issues] # Nippy #### The fastest serialization library for Clojure Clojure's rich data types are awesome. And its [reader](https://clojure.org/reference/reader) allows you to take your data just about anywhere. But the reader can be painfully slow when you've got a lot of data to crunch (like when you're serializing to a database). Nippy is an attempt to provide a reliable, high-performance **drop-in alternative to the reader**. Used by [Carmine](https://github.com/taoensso/carmine), [Faraday](https://github.com/ptaoussanis/faraday), [PigPen](https://github.com/Netflix/PigPen), [Onyx](https://github.com/onyx-platform/onyx), [XTDB](https://github.com/xtdb/xtdb), and others. ## Latest release/s - `2023-08-02` `3.3.0-RC1` (dev): [changes](../../releases/tag/v3.3.0-RC1) - `2022-07-18` `3.2.0` (stable): [changes](../../releases/tag/v3.2.0) [![Main tests][Main tests SVG]][Main tests URL] [![Graal tests][Graal tests SVG]][Graal tests URL] See [here][GitHub releases] for earlier releases. ## Why Nippy? - Small, simple **all-Clojure** library - **Terrific performance**: the [best](#performance) for Clojure that I'm aware of - Comprehensive support for **all standard data types** - Easily extendable to **custom data types** - **Robust test suite**, incl. full coverage for every supported type - Auto fallback to Java Serializable when available - Auto fallback to Clojure Reader for all other types (including tagged literals - Pluggable **compression** with built-in [LZ4](https://code.google.com/p/lz4/) - Pluggable **encryption** with built-in AES128 - Tools for easy + robust **integration into 3rd-party libraries**, etc. ## Performance Since its earliest versions, Nippy has consistently been the **fastest serialization library for Clojure** that I'm aware of. It offers: - Roundtrip times **>12x faster** than `tools.reader` with **60% smaller** data size. - Roundtrip times **>2x faster** than `data.fressian` with **30% smaller** data size.  The [benchmark code](https://github.com/taoensso/nippy/blob/master/src/taoensso/nippy/benchmarks.clj) can be easily run in your own environment. ## Documentation - [Full documentation][GitHub wiki] (**getting started** and more) - Auto-generated API reference: [Codox][Codox docs], [clj-doc][clj-doc docs] ## Funding You can [help support][sponsor] on this project, thank you!! 🙏 ## License Copyright © 2012-2023 [Peter Taoussanis][]. Licensed under [EPL 1.0](LICENSE.txt) (same as Clojure). [GitHub releases]: ../../releases [GitHub issues]: ../../issues [GitHub wiki]: ../../wiki [Peter Taoussanis]: https://www.taoensso.com [sponsor]: https://www.taoensso.com/sponsor [Codox docs]: https://taoensso.github.io/nippy/ [clj-doc docs]: https://cljdoc.org/d/com.taoensso/nippy/ [Clojars SVG]: https://img.shields.io/clojars/v/com.taoensso/nippy.svg [Clojars URL]: https://clojars.org/com.taoensso/nippy [Main tests SVG]: https://github.com/taoensso/nippy/actions/workflows/main-tests.yml/badge.svg [Main tests URL]: https://github.com/taoensso/nippy/actions/workflows/main-tests.yml [Graal tests SVG]: https://github.com/taoensso/nippy/actions/workflows/graal-tests.yml/badge.svg [Graal tests URL]: https://github.com/taoensso/nippy/actions/workflows/graal-tests.yml