timely-dataflow | A modular implementation of timely dataflow in Rust

 by   TimelyDataflow Rust Version: v0.12.0 License: MIT

kandi X-RAY | timely-dataflow Summary

kandi X-RAY | timely-dataflow Summary

timely-dataflow is a Rust library. timely-dataflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Timely dataflow is a low-latency cyclic dataflow computational model, introduced in the paper Naiad: a timely dataflow system. This project is an extended and more modular implementation of timely dataflow in Rust. This project is something akin to a distributed data-parallel compute engine, which scales the same program up from a single thread on your laptop to distributed execution across a cluster of computers. The main goals are expressive power and high performance. It is probably strictly more expressive and faster than whatever you are currently using, assuming you aren't yet using timely dataflow. Be sure to read the documentation for timely dataflow. It is a work in progress, but mostly improving. There is more long-form text in mdbook format with examples tested against the current builds. There is also a series of blog posts (part 1, part 2, part 3) introducing timely dataflow in a different way, though be warned that the examples there may need tweaks to build against the current code.
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            kandi-support Support

              timely-dataflow has a medium active ecosystem.
              It has 2910 star(s) with 256 fork(s). There are 90 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 68 open issues and 100 have been closed. On average issues are closed in 121 days. There are 47 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of timely-dataflow is v0.12.0

            kandi-Quality Quality

              timely-dataflow has 0 bugs and 0 code smells.

            kandi-Security Security

              timely-dataflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              timely-dataflow code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              timely-dataflow is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              timely-dataflow releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of timely-dataflow
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            timely-dataflow Key Features

            No Key Features are available at this moment for timely-dataflow.

            timely-dataflow Examples and Code Snippets

            No Code Snippets are available at this moment for timely-dataflow.

            Community Discussions

            No Community Discussions are available at this moment for timely-dataflow.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install timely-dataflow

            You can download it from GitHub.
            Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

            Support

            If you are interested in working with or helping out with timely dataflow, great!. There are a few classes of work that are helpful for us, and may be interesting for you. There are a few broad categories, and then an ever-shifting pile of issues of various complexity.
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