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System.Threading.Tasks.Dataflow
Advanced tools
TPL Dataflow promotes actor/agent-oriented designs through primitives for in-process message passing, dataflow, and pipelining. TDF builds upon the APIs and scheduling infrastructure provided by the Task Parallel Library (TPL), and integrates with the language support for asynchrony provided by C#, Visual Basic, and F#. Commonly Used Types: System.Threading.Tasks.Dataflow.ActionBlock<TInput> System.Threading.Tasks.Dataflow.BatchBlock<T> System.Threading.Tasks.Dataflow.BatchedJoinBlock<T1, T2> System.Threading.Tasks.Dataflow.BatchedJoinBlock<T1, T2, T3> System.Threading.Tasks.Dataflow.BroadcastBlock<T> System.Threading.Tasks.Dataflow.BufferBlock<T> System.Threading.Tasks.Dataflow.DataflowBlock System.Threading.Tasks.Dataflow.JoinBlock<T1, T2> System.Threading.Tasks.Dataflow.JoinBlock<T1, T2, T3> System.Threading.Tasks.Dataflow.TransformBlock<TInput, TOutput> System.Threading.Tasks.Dataflow.TransformManyBlock<TInput, TOutput> System.Threading.Tasks.Dataflow.WriteOnceBlock<T>
FAQs
TPL Dataflow promotes actor/agent-oriented designs through primitives for in-process message passing, dataflow, and pipelining. TDF builds upon the APIs and scheduling infrastructure provided by the Task Parallel Library (TPL), and integrates with the language support for asynchrony provided by C#, Visual Basic, and F#. Commonly Used Types: System.Threading.Tasks.Dataflow.ActionBlock<TInput> System.Threading.Tasks.Dataflow.BatchBlock<T> System.Threading.Tasks.Dataflow.BatchedJoinBlock<T1, T2> System.Threading.Tasks.Dataflow.BatchedJoinBlock<T1, T2, T3> System.Threading.Tasks.Dataflow.BroadcastBlock<T> System.Threading.Tasks.Dataflow.BufferBlock<T> System.Threading.Tasks.Dataflow.DataflowBlock System.Threading.Tasks.Dataflow.JoinBlock<T1, T2> System.Threading.Tasks.Dataflow.JoinBlock<T1, T2, T3> System.Threading.Tasks.Dataflow.TransformBlock<TInput, TOutput> System.Threading.Tasks.Dataflow.TransformManyBlock<TInput, TOutput> System.Threading.Tasks.Dataflow.WriteOnceBlock<T>
We found that system.threading.tasks.dataflow demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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