fury-benchmarks vs fact-checker

fury-benchmarks

Serialization Benchmarks for fury with other libraries (by chaokunyang)

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fact-checker

Fact-checking LLM outputs with self-ask (by jagilley)

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fury-benchmarks		fact-checker
	Project
4	Mentions	2
2	Stars	261
-	Growth	-
5.9	Activity	2.8
14 days ago	Latest Commit	7 months ago
Java	Language	Jupyter Notebook
-	License	-

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

fury-benchmarks

Posts with mentions or reviews of fury-benchmarks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-20.

FLaNK Stack Weekly for 20 Nov 2023
37 projects | dev.to | 20 Nov 2023
FLaNK Stack Weekly for 30 Oct 2023
24 projects | dev.to | 30 Oct 2023
Fury: 170x faster than JDK, fast serialization powered by JIT and Zero-copy
12 projects | news.ycombinator.com | 7 Oct 2023

1) Fury is 41.6x faster than jackson for Struct serialization 2) Fury is 65.6x faster than jackson for Struct deserialization 3) Fury is 9.4x faster than jackson for MediaContent serialization 4) Fury is 9.6x faster than jackson for MediaContent deserialization
see https://github.com/chaokunyang/fury-benchmarks for detailed benchmark code.

fact-checker

Posts with mentions or reviews of fact-checker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-30.

FLaNK Stack Weekly for 30 Oct 2023
24 projects | dev.to | 30 Oct 2023
Toolformer: Language Models Can Teach Themselves to Use Tools
2 projects | news.ycombinator.com | 11 Feb 2023

The fact checking with prompt chaining[0] repository has something along those lines (their readme has an example).
It is not perfect and it is costly in number of calls to a language model but it does help a lot.
[0]: https://github.com/jagilley/fact-checker

What are some alternatives?

When comparing fury-benchmarks and fact-checker you can also consider the following projects:

jvm-serializers - Benchmark comparing serialization libraries on the JVM

langchain-tutorials - Overview and tutorial of the LangChain Library

MemoryPack - Zero encoding extreme performance binary serializer for C# and Unity.

hngpt - Collecting my favoritet Hacker News stories by LangChain

MessagePack for C# (.NET, .NET Core, Unity, Xamarin) - Extremely Fast MessagePack Serializer for C#(.NET, .NET Core, Unity, Xamarin). / msgpack.org[C#]

lang-segment-anything - SAM with text prompt

grpc-dotnet - gRPC for .NET

spelltest - AI-to-AI Testing | Simulation framework for LLM-based applications

incubator-fury - A blazingly fast multi-language serialization framework powered by JIT and zero-copy.

ClassGPT - ChatGPT for lecture slides

orbital - Orbital automates integration between data sources (APIs, Databases, Queues and Functions). BFF's, API Composition and ETL pipelines that adapt as your specs change.

ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines