GraphScope VS euler

Compare GraphScope vs euler and see what are their differences.

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GraphScope euler
7 1
1,276 2,712
8.2% 0.7%
9.4 0.0
5 days ago 24 days ago
Java C++
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.

GraphScope

Posts with mentions or reviews of GraphScope. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-02.

euler

Posts with mentions or reviews of euler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-02.

What are some alternatives?

When comparing GraphScope and euler you can also consider the following projects:

libvineyard - vineyard (v6d): an in-memory immutable data manager. [Moved to: https://github.com/alibaba/v6d]

MPAndroidChart - A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.

sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.

libgrape-lite - 🍇 A C++ library for parallel graph processing 🍇

awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations.

vg - tools for working with genome variation graphs

indradb - A graph database written in rust

parallel-disk-usage - Highly parallelized, blazing fast directory tree analyzer

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

awesome-efficient-gnn - Efficient Graph Neural Networks - a curated list of papers and projects