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1

AWS Data Wrangler

Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.

An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL).

Downloads: 9 This Week

Last Update: 2 days ago
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2

.NET for Apache Spark

A free, open-source, and cross-platform big data analytics framework

.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write...

Downloads: 0 This Week

Last Update: 2026-02-13
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3

Spark.jl

Julia binding for Apache Spark

A Julia interface to Apache Spark. Spark.jl provides an interface to Apache Spark™ platform, including SQL / DataFrame and Structured Streaming. It closely follows the PySpark API, making it easy to translate existing Python code to Julia. Spark.jl supports multiple cluster types (in client mode), and can be considered as an analog to PySpark or RSpark within the Julia ecosystem. It supports running within on-premise installations, as well as hosted instances such as Amazon EMR and Azure...

Downloads: 1 This Week

Last Update: 2023-11-22
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4

Snowplow Analytics

Enterprise-strength marketing and product analytics platform

Snowplow is ideal for data teams who want to manage the collection and warehousing of data across all their platforms and products.

Downloads: 1 This Week

Last Update: 2022-01-31
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