vg
euler
Our great sponsors
vg | euler | |
---|---|---|
2 | 2 | |
1,056 | 2,873 | |
1.3% | 0.2% | |
9.4 | 0.0 | |
11 days ago | 8 months ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
vg
-
VG v1.36.0 just released!
Just released! VG v1.36.0, available at https://github.com/vgteam/vg/releases/tag/v1.36.0 offers improvements vg clip, including an option for clipping out big deletion edges while skipping multiple specified alleles.
-
VG v1.34.0 Release!
Just out! vg v1.34.0 code-named "Arguello" is available now: https://github.com/vgteam/vg/releases/tag/v1.34.0
euler
-
euler VS CXXGraph - a user suggested alternative
2 projects | 17 Mar 2022
-
GraphScope: A One-Stop Large-Scale Graph Computing System
https://github.com/alibaba/euler/wiki
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
bwa-mem2 - The next version of bwa-mem
awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations.
seq - A high-performance, Pythonic language for bioinformatics
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
bowtie2 - A fast and sensitive gapped read aligner
libgrape-lite - 🍇 A C++ library for parallel graph processing (GRAPE) 🍇
libvineyard - vineyard (v6d): an in-memory immutable data manager. [Moved to: https://github.com/alibaba/v6d]
efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks
GNNs-Recipe - 🟠 A study guide to learn about Graph Neural Networks (GNNs)
simulacrum - A framework for procedural content generation with C++20