libvineyard VS euler

Compare libvineyard vs euler and see what are their differences.

libvineyard

vineyard (v6d): an in-memory immutable data manager. [Moved to: https://github.com/alibaba/v6d] (by alibaba)
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libvineyard euler
4 2
403 2,873
- 0.2%
9.1 0.0
almost 3 years ago 8 months ago
C++ 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.

libvineyard

Posts with mentions or reviews of libvineyard. 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 2022-03-17.

What are some alternatives?

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

GraphScope - 🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

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

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

feather - Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow

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

efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks

vg - tools for working with genome variation graphs

GNNs-Recipe - 🟠 A study guide to learn about Graph Neural Networks (GNNs)

simulacrum - A framework for procedural content generation with C++20

motion_planning - Robot path planning, mapping and exploration algorithms