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Spark is a GitHub repository or organization with source code, releases, documentation, or project resources.
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SparkleShare helps upload, sync, or manage files across cloud storage, remote drives, or shared storage services.
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A listener that streams your spark events logs to delight, a free and improved spark UI.
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A distributed machine learning framework Apache Spark.
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Spark is a fast and general engine for large-scale data processing.
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A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
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A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.
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Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.
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A Clojure dataframe library that runs on Apache Spark.
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ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
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Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.
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Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
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Analyzes structured data and helps produce queries, insights or visualizations.