timely-dataflow
node_crunch
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timely-dataflow | node_crunch | |
---|---|---|
11 | 15 | |
3,141 | 78 | |
1.0% | - | |
7.2 | 0.0 | |
15 days ago | 5 months ago | |
Rust | Rust | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
timely-dataflow
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Readyset: A MySQL and Postgres wire-compatible caching layer
They have a bit about their technical foundation here[0].
Given that Readyset was co-founded by Jon Gjengset (but has apparently since departed the company), who authored the paper on Noria[1], I would assume that Readyset is the continuation of that research.
So it shares some roots with Materialize. They have a common conceptual ancestry in Naiad, where Materialize evolved out of timely-dataflow.
[0]: https://docs.readyset.io/concepts/streaming-dataflow
[1]: https://jon.thesquareplanet.com/papers/osdi18-noria.pdf
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Mandala: experiment data management as a built-in (Python) language feature
And systems like timely dataflow, https://github.com/TimelyDataflow/timely-dataflow
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Arroyo: A distributed stream processing engine written in Rust
Project looks cool! Glad you open sourced it. It could use some comments in the code base to help contributors ;). I also like the datafusion usage, that is awesome. BTW I work on github.com/bytewax/bytewax, which is based on https://github.com/TimelyDataflow/timely-dataflow another Rust dataflow computation engine.
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Rust MPI -- Will there ever be a fully oxidized implementation?
Just found this https://github.com/TimelyDataflow/timely-dataflow and my heart skipped a beat.
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Streaming processing in Python using Timely Dataflow with Bytewax
Bytewax is a Python native binding to the Timely Dataflow library (written in Rust) for building highly scalable streaming (and batch) processing pipelines.
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Alternative Kafka Integration Framework to Kafka Connect?
I am working on Bytewax, which is a Python stream processing framework built on Timely Dataflow. It is not exactly a Kafka integration framework because it is a more of a general stream processing framework, but might be interesting for you. We are focused on enabling people to more easily debug, containerize, parallelize and customize and less on enabling a declarative integration framework. It is still early days for us! And we are looking for feedback and ideas from the community.
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[AskJS] JavaScript for data processing
We used to use a library called Pond.js, https://github.com/esnet/pond, but the reliance on Immutable.JS caused some performance pitfalls, so we wrote a system from scratch that deals with data in a batched streaming fashion. A lot of the concepts were borrowed from a Rust library called timely-dataflow, https://github.com/TimelyDataflow/timely-dataflow.
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Dataflow: An Efficient Data Processing Library for Machine Learning
Though the name "Dataflow" might be an unfortunate name conflict with another Rust project: https://github.com/TimelyDataflow/timely-dataflow
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Ask HN: Is there a way to subscribe to an SQL query for changes?
> In the simplest case, I'm talking about regular SQL non-materialized views which are essentially inlined.
I see that now -- makes sense!
> Wish we had some better database primitives to assemble rather than building everything on Postgres - its not ideal for a lot of things.
I'm curious to hear more about this! We agree that better primitives are required and that's why Materialize is written in Rust using using TimelyDataflow[1] and DifferentialDataflow[2] (both developed by Materialize co-founder Frank McSherry). The only relationship between Materialize and Postgres is that we are wire-compatible with Postgres and we don't share any code with Postgres nor do we have a dependence on it.
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7 Real-Time Data Streaming Tools You Should Consider On Your Next Project
Under the hood, Materialize uses Timely Dataflow (TDF) as the stream-processing engine. This allows Materialize to take advantage of the distributed data-parallel compute engine. The great thing about using TDF is that it has been in open source development since 2014 and has since been battle-tested in production at large Fortune 1000-scale companies.
node_crunch
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Rust MPI -- Will there ever be a fully oxidized implementation?
I've written my own crate called node-crunch for distributed computing.
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Eclipse Zenoh: 0.7.0 release
This looks really nice! It has encryption and compression is planned for the next release. I've developed node_crunch, a crate for distributed computing and designed the protocols myself. I think that Zenoh could make my life a lot easier ;-) I'll definitely try it out!
- HyperQueue: ergonomic HPC task executor written in Rust
- Mandelbrot rendering with Rust
- possibility of blas natively in Rust
- An optimization story
- Rust and Scientific/High-Performance Computing
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[Feedback] Genetic Algorithm to Solve Sudoku Puzzles
You may be interested in darwin-rs, a crate for evolutionary algorithm that I'm working on. It uses multiple threads to speed things up, but I'm currently implementing node-crunch support, so that it can run on a cluster.
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Added Glasses and Soft Shadows to my Ray Tracer
Nice! I'm currently working on node_crunch a crate for distributed computing. I've modified an existing ray tracer to run on a cluster. If you're interested you can have a look at the code.
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What sort of mature, open-source libraries do you feel Rust should have but currently lacks?
I'm currently working on node_crunch.
What are some alternatives?
noria - Fast web applications through dynamic, partially-stateful dataflow
darwin-rs - darwin-rs, evolutionary algorithms with rust
differential-datalog - DDlog is a programming language for incremental computation. It is well suited for writing programs that continuously update their output in response to input changes. A DDlog programmer does not write incremental algorithms; instead they specify the desired input-output mapping in a declarative manner.
libint - Libint: high-performance library for computing Gaussian integrals in quantum mechanics
materialize - The data warehouse for operational workloads.
rsmpi - MPI bindings for Rust
bytewax - Python Stream Processing
constellation - Constellation is the first Confidential Kubernetes. Constellation shields entire Kubernetes clusters from the (cloud) infrastructure using confidential computing.
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
StaticArrays.jl - Statically sized arrays for Julia
differential-dataflow - An implementation of differential dataflow using timely dataflow on Rust.
libcint - general GTO integrals for quantum chemistry