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See the [official Elasticsearch JavaScript client](elasticsearch-js://docs/reference/index.md).
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See the [official Elasticsearch JavaScript client](elasticsearch-js://reference/index.md).
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## Julia [julia]
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*[ElasticsearchClient.jl](https://github.com/OpenSesame/ElasticsearchClient.jl): Elasticsearch client inspired by the [official Elasticsearch Ruby client](elasticsearch-ruby://docs/reference/index.md).
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*[ElasticsearchClient.jl](https://github.com/OpenSesame/ElasticsearchClient.jl): Elasticsearch client inspired by the [official Elasticsearch Ruby client](elasticsearch-ruby://reference/index.md).
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## Kotlin [kotlin]
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*[ES Kotlin](https://github.com/mbuhot/eskotlin): Elasticsearch Query DSL for kotlin based on the [official Elasticsearch Java client](elasticsearch-java://docs/reference/index.md). **Last commit more than a year ago**
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*[ES Kotlin](https://github.com/mbuhot/eskotlin): Elasticsearch Query DSL for kotlin based on the [official Elasticsearch Java client](elasticsearch-java://reference/index.md). **Last commit more than a year ago**
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*[ES Kotlin Wrapper Client](https://github.com/jillesvangurp/es-kotlin-wrapper-client): Kotlin extension functions and abstractions for the [official Elasticsearch high-level client](https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/index.html). Aims to reduce the amount of boilerplate needed to do searches, bulk indexing and other common things users do with the client. **No longer maintained**
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## .NET [dotnet]
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See the [official Elasticsearch .NET client](elasticsearch-net://docs/reference/index.md).
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See the [official Elasticsearch .NET client](elasticsearch-net://reference/index.md).
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## Perl [perl]
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## PHP [php]
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Also see the [official Elasticsearch PHP client](elasticsearch-php://docs/reference/index.md).
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Also see the [official Elasticsearch PHP client](elasticsearch-php://reference/index.md).
Refer to [Aggregations](docs-content://explore-analyze/query-filter/aggregations.md) in the **Explore and analyze** section for overview, getting started and conceptual information.
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:::
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Aggregations are a powerful framework that enables you to perform complex data analysis and summarization over indexed documents. They enable you to extract and compute statistics, trends, and patterns from large datasets.
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