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System.Threading.Tasks.Dataflow

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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>
License: Permissive (MIT)
Published: about 1 month ago
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SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

INCIDENTS FOR THIS VERSION:

Overviewissues2vulnerabilities0malware0behaviors5dependencies0contributors2versions131

FAQ for System.Threading.Tasks.Dataflow

What is System.Threading.Tasks.Dataflow?

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>. For more information about this package, visit its homepage.

Is System.Threading.Tasks.Dataflow malicious or is it safe to use?

The .NET package System.Threading.Tasks.Dataflow was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. No risks were detected, therefore, this version of the package is currently considered as safe to use.

Is System.Threading.Tasks.Dataflow popular?

The .NET package System.Threading.Tasks.Dataflow ranks among the top 1000 projects in this community. It has 829M recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure System.Threading.Tasks.Dataflow once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how System.Threading.Tasks.Dataflow behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a System.Threading.Tasks.Dataflow version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

Did you know...

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We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.

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