incubator-fury
feldera
| incubator-fury | feldera | |
|---|---|---|
| 15 | 4 | |
| 2,654 | 265 | |
| 3.4% | 13.6% | |
| 9.8 | 9.9 | |
| 4 days ago | 5 days ago | |
| Java | Rust | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
incubator-fury
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Rethinking string encoding: a 37.5% space efficient encoding than UTF-8 in Fury
For implemetation details, https://github.com/apache/incubator-fury/blob/main/java/fury... can be taken as an example
- Apache Fury – fast serialization framework – 0.5.0 released
- Fast Cloud Native Java Serialization:Fury JIT and GraalVM Native Image AOT
- Fury Serialization Framework 0.3.1 Released: Support Python 3.11&3.12
- Fury Serialization 0.3.1 Released: support Python 3.11&12
- Fury Serialization Framework 0.3.0 released
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Fury Scala: Fast binary serialization for any Scala 2/3 objects
See https://github.com/alipay/fury/blob/main/docs/guide/scala_gu... for scala serialization user doc
- Fury – Fast multi-language serialization framework powered by JIT and Zero-copy
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Fury: 170x faster than JDK, fast serialization powered by JIT and Zero-copy
Yes, Game is another scenario, it's very latency sensitive. Fury is very fast for such scenarios. Actually the java implememtation has been featured by some game developers. And there has always been a demand within the community for FURY to support C#: https://github.com/alipay/fury/issues/686 . I don't have experience for c#, so c# hasn't been support. We are still the community can join us for c# support.
- FLaNK Stack Weekly for 14 Aug 2023
feldera
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We Built a Streaming SQL Engine
Very nice! Are you using the dbsp implementation from the paper authors for this (e.g., https://github.com/feldera/feldera/tree/main/crates/dbsp)?
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Feldera – a more performant streaming database based on Z-sets
Hi,
> I wonder if it lives up to the hype.
We do think so! (disclaimer: I'm a co-founder at Feldera)
To give some more background: We are co-designing/trialing feldera with several industry/enterprise partners from different domains. Our core team also built differential datalog (https://github.com/vmware/differential-datalog) in the past. And while ddlog is used quite successfully in products today, we believe the many lessons we learned with ddlog will help us to build an even better continuous analytics platform. FYI our code is open-source at https://github.com/feldera/feldera if you'd like to try it out.
Also feel free to join our community slack channel (https://www.feldera.com/slack/) if you have more questions.
- FLaNK Stack Weekly for 14 Aug 2023
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Show HN: Arroyo – Write SQL on streaming data
I'm a developer of DBSP. Our repo now lives here: https://github.com/feldera/dbsp/. And here is some more benchmarking data vs Flink and Beam:
What are some alternatives?
jdbc-connector-for-apache-kafka - Aiven's JDBC Sink and Source Connectors for Apache Kafka®
sql-cli-for-apache-flink-docker - SQL CLI for Apache Flink® via docker-compose
grpc-dotnet - gRPC for .NET
llama2.c - Inference Llama 2 in one file of pure C
fury-benchmarks - Serialization Benchmarks for fury with other libraries
arroyo - Distributed stream processing engine in Rust
MemoryPack - Zero encoding extreme performance binary serializer for C# and Unity.
Llama-2-Onnx
FlatBuffers - FlatBuffers: Memory Efficient Serialization Library
databathing
qs - Quick serialization of R objects
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)