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ofbiz-plugins
Apache OFBiz is an open source product for the automation of enterprise processes. It includes framework components and business applications for ERP, CRM, E-Business/E-Commerce, Supply Chain Management and Manufacturing Resource Planning. OFBiz provides a foundation and starting point for reliable, secure and scalable enterprise solutions.
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ofbiz-framework
Apache OFBiz is an open source product for the automation of enterprise processes. It includes framework components and business applications for ERP, CRM, E-Business/E-Commerce, Supply Chain Management and Manufacturing Resource Planning. OFBiz provides a foundation and starting point for reliable, secure and scalable enterprise solutions.
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airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
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arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication…
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hadoop-ozone
Scalable, redundant, and distributed object store for Apache Hadoop
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spark
Apache Spark - A unified analytics engine for large-scale data processing
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incubator-nuttx
Apache NuttX is a mature, real-time embedded operating system (RTOS)
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logging-log4j2
Apache Log4j 2 is an upgrade to Log4j that provides significant improvements over its predecessor, Log4j 1.x, and provides many of the improvements available in Logback while fixing some inherent problems in Logback's architecture.
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flink-statefun
Apache Flink Stateful Functions
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shardingsphere
Distributed database middleware
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skywalking
APM, Application Performance Monitoring System
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hudi
Upserts, Deletes And Incremental Processing on Big Data.

