libgrape-lite
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libgrape-lite | ravel | |
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3 | 1 | |
365 | 27 | |
1.1% | - | |
6.3 | 0.0 | |
21 days ago | over 2 years ago | |
C++ | C++ | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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libgrape-lite
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libgrape-lite VS CXXGraph - a user suggested alternative
2 projects | 17 Mar 2022
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GraphScope: A One-Stop Large-Scale Graph Computing System
We don't have a benchmark between the analytical engine in GraphScope (aka. GAE) with GraphX/Giraph. But we do have evaluated the performance of the underlying engine of GAE (libgrape-lite) with LDBC Graph Analytics Benchmark and it achieves higher performance comparably to the state-of-the-art systems [2].
[1]: https://github.com/alibaba/libgrape-lite
[2]: https://github.com/alibaba/libgrape-lite/blob/master/Perform...
Yes, we intend to cover the functionality provided by GraphLab, but with better performance (see https://github.com/alibaba/libgrape-lite/blob/master/Perform..., We are actually 10x~50x faster...).
Also we also provide the ability to do Gremlin queries on graphs as well as GNN with TensorFlow, neither is provided with GraphLab
ravel
What are some alternatives?
QuickQanava - :link: C++17 network / graph visualization library - Qt6 / QML node editor.
GraphScope - 🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
CXXGraph - Header-Only C++ Library for Graph Representation and Algorithms
euler - A distributed graph deep learning framework.
libvineyard - vineyard (v6d): an in-memory immutable data manager. [Moved to: https://github.com/alibaba/v6d]
HPCInfo - Information about many aspects of high-performance computing. Wiki content moved to ~/docs.
mpl - A C++17 message passing library based on MPI
LightGraphs.jl - An optimized graphs package for the Julia programming language
dmtcp - DMTCP: Distributed MultiThreaded CheckPointing
faasm - High-performance stateful serverless runtime based on WebAssembly
gtl - A collection of useful well-commented, self-contained, simple, and/or interesting C++ classes
timemory - Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.