incubator-fury VS pkgx

Compare incubator-fury vs pkgx and see what are their differences.

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incubator-fury pkgx
15 47
2,654 8,723
3.4% 0.8%
9.8 9.0
4 days ago 10 days ago
Java TypeScript
Apache License 2.0 Apache License 2.0
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.

incubator-fury

Posts with mentions or reviews of incubator-fury. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-07.

pkgx

Posts with mentions or reviews of pkgx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-27.

What are some alternatives?

When comparing incubator-fury and pkgx you can also consider the following projects:

jdbc-connector-for-apache-kafka - Aiven's JDBC Sink and Source Connectors for Apache Kafka®

nix - Nix, the purely functional package manager

grpc-dotnet - gRPC for .NET

litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

fury-benchmarks - Serialization Benchmarks for fury with other libraries

Llama-2-Onnx

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

macports-base - The MacPorts command-line client

FlatBuffers - FlatBuffers: Memory Efficient Serialization Library

symmetric-ds - SymmetricDS is database replication and file synchronization software that is platform independent, web enabled, and database agnostic. It is designed to make bi-directional data replication fast, easy, and resilient. It scales to a large number of nodes and works in near real-time across WAN and LAN networks.

qs - Quick serialization of R objects

white-paper - how will the protocol work?