katara
reactor-core
| katara | reactor-core | |
|---|---|---|
| 4 | 21 | |
| 130 | 4,832 | |
| 0.0% | 0.7% | |
| 0.7 | 9.4 | |
| about 1 year ago | about 20 hours ago | |
| Python | Java | |
| Apache License 2.0 | Apache License 2.0 |
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.
katara
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Hydroflow: Dataflow Runtime in Rust
Oh, I realize this comes out the Hydro Project that produced a previous HN submission I thought was cool:
Katara is a project to synthesize CRDTs from a C++ implementation of a regular plain-old data structure along with a few annotations
https://news.ycombinator.com/item?id=32977887
https://github.com/hydro-project/katara
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This Week In Python
katara – Synthesize CRDTs from classic data types with verified lifting
- Katara: Synthesize CRDTs from Sequential Types
- Katara: Synthesizing CRDTs with Verified Lifting
reactor-core
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Is it wrong to use "try-catch" inside a reactive stream operator (project reactor)?
I was exploring reactive streams with project reactor and I encountered a use case where I needed to skip to the next event if an error occurred during the processing of the current event (e.g. deserialization issue).
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Modern Async Primitives on iOS, Android, and the Web
Kotlin also has a construct for asynchronous collections/streams. Kotlin's version of AsyncSequence is called a Flow. Just as Swift's AsyncSequence builds upon prior experience with RxSwift and Combine, Kotlin's Flow APIs build upon earlier stream/collection APIs in the JVM ecosystem: Java's RxJava, Java8 Streams, Project Reactor, and Scala's Akka.
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Alternatives to scala FP
Java's projectreactor.io ? It is widely used in Java world, see Spring WebFlux.
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Hydroflow: Dataflow Runtime in Rust
I guess more a closer comparison would be with the Project Reactor https://projectreactor.io/ which is also a low level framework for data processing.
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Reactive Backend Applications with Spring Boot, Kotlin and Coroutines (Part 1)
Spring Framework is one of the most popular choices for web applications. It comes with a great ecosystem, tooling, and support. Spring applications are mainly written in Java. While they can serve quite well in many different domains and use cases, they may not be a good fit for modern-day applications which require low-latency and high-throughput. This is where the reactive programming paradigm could help because the paradigm is designed to address these issues by its non-blocking nature. Spring already supports reactive programming via Project Reactor.
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Brief Intro to Reactive Streams with Project Reactor
The reactive streams API provides the specification for non-blocking async streams processing with back pressure mechanism, and Project Reactor is an implementation written in java.
- Angular for Junior Developers: Promises vs Observables
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How much of real world programming involves using containers and for loops?
https://projectreactor.io/ https://docs.oracle.com/javase/8/docs/api/java/util/stream/Stream.html https://rxjs.dev/ https://developer.android.com/kotlin/coroutines https://developer.apple.com/documentation/combine
- Spring Reactor
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Reactor bad, Loom good - but how will the landscape shape out?
With respect to Loom, it could be much easier for synchronous and reactive code to interoperate using schedulers that take advantage of Loom. The impact of Loom on Project Reactor was discussed in #3084, you might find it interesting.
What are some alternatives?
database-stream-processor - Streaming and Incremental Computation Framework
Reactive Streams - Reactive Streams Specification for the JVM
puff - ☁ Puff ☁ - The deep stack framework.
RxKotlin - RxJava bindings for Kotlin
koda-validate - Typesafe, Composable Validation
RxJava - RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
django-pgtransaction - A context manager/decorator which extends Django's atomic function with the ability to set isolation level and retries for a given transaction.
reactor-kotlin-extensions
hydroflow - Hydro's low-level dataflow runtime
redux-kotlin - Predictable state container for Kotlin apps
differential-dataflow - An implementation of differential dataflow using timely dataflow on Rust.
Async Http Client - Asynchronous Http and WebSocket Client library for Java