rslint
differential-dataflow
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rslint | differential-dataflow | |
---|---|---|
3 | 14 | |
2,661 | 2,467 | |
0.1% | 1.3% | |
0.0 | 8.3 | |
about 1 year ago | 4 days 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.
rslint
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ESLint alternatives - quick-lint-js and rslint
3 projects | 24 Dec 2021
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Rust Is the Future of JavaScript Infrastructure
Author here. A few other Rust projects to note that I didn't mention in the original post I've since found:
- Boa (JS engine in Rust) – https://github.com/boa-dev/boa
- RSLint (JS/TS linter in Rust) – https://github.com/rslint/rslint
- Node version manager in Rust – https://github.com/Schniz/fnm
If you know of any other popular ones, let me know. I'm keeping a list :)
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Why isn't differential dataflow more popular?
[4]: https://github.com/rslint/rslint
differential-dataflow
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We Built a Streaming SQL Engine
Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views.
https://github.com/timelydataflow/differential-dataflow
https://materialize.com/
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Hydroflow: Dataflow Runtime in Rust
I'm looking for this but can't find it, how does this project compare to differential dataflow?
As a sibling commenter mentioned, it's built on timely dataflow (which is lower-level), but that already has differential dataflow[0] built on top of it by the same authors.
How do they differ?
[0]: https://github.com/TimelyDataflow/differential-dataflow
- Using Rust to write a Data Pipeline. Thoughts. Musings.
- PlanetScale Boost
- Program Synthesis is Possible (2018)
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Convex vs. Firebase
hi! sujay from convex here. I remember reading about your "reverse query engine" when we were getting started last year and really liking that framing of the broadcast problem here.
as james mentions, we entirely re-run the javascript function whenever we detect any of its inputs change. incrementality at this layer would be very difficult, since we're dealing with a general purpose programming language. also, since we fully sandbox and determinize these javascript "queries," the majority of the cost is in accessing the database.
eventually, I'd like to explore "reverse query execution" on the boundary between javascript and the underlying data using an approach like differential dataflow [1]. the materialize folks [2] have made a lot of progress applying it for OLAP and readyset [3] is using similar techniques for OLTP.
[1] https://github.com/TimelyDataflow/differential-dataflow
[2] https://materialize.com/
[3] https://readyset.io/
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Announcing avalanche 0.1, a React- and Svelte-inspired GUI library
differential dataflow which is used to power materialize db
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Differential Datalog
It's partially inspired by Linq, so the similarity you see is expected.
It's not really arbitrary structures so much, though you're mostly free in what record type you use in a relation (structs and tagged enums are typical, though).
The incremental part is that you can feed it changes to the input (additions/retractions of facts) and get changes to the outputs back with low latency (you can alternatively just use it to keep an index up-to-date, where you can quickly look up based on a key (like a materialized view in SQL)).
This [0] section in the readme of the underlying incremental dataflow framework may help get the concept across, but feel free to follow up if you're still not seeing the incrementality.
[0]: https://github.com/TimelyDataflow/differential-dataflow#an-e...
- Dbt and Materialize
- Materialized view questions
What are some alternatives?
ESLint - Find and fix problems in your JavaScript code.
ballista - Distributed compute platform implemented in Rust, and powered by Apache Arrow.
deno_lint - Blazing fast linter for JavaScript and TypeScript written in Rust
materialize - The data warehouse for operational workloads.
napi-rs - A framework for building compiled Node.js add-ons in Rust via Node-API
reflow - A language and runtime for distributed, incremental data processing in the cloud
quick-lint-js - quick-lint-js finds bugs in JavaScript programs
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.
timely-dataflow - A modular implementation of timely dataflow in Rust
swc - Rust-based platform for the Web
clj-3df - Clojure(Script) client for Declarative Dataflow.