Graph Engine
v6d
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Graph Engine | v6d | |
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- | 5 | |
2,177 | 802 | |
0.8% | 1.6% | |
6.6 | 9.5 | |
4 months ago | 9 days ago | |
C# | C++ | |
MIT License | 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.
Graph Engine
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Tracking mentions began in Dec 2020.
v6d
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Has anyone here had experience using Vineyard?
Brief Overview for any interested: Vineyard (v6d) is an in-memory immutable data manager that provides out-of-the-box high-level abstraction and zero-copy in-memory sharing for distributed data in big data tasks, such as graph analytics (e.g., GraphScope), numerical computing (e.g., Mars), and machine learning.
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GitHub “allows” unauthorized users “merging” PRs, bypass write permission check
- https://github.com/v6d-io/v6d/pull/948
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[P] Bridging Dask and Tensorflow for distributed machine learniing with Vineyard
We propose vineyard, https://github.com/v6d-io/v6d to address such challenges, which, provides efficient zero-copy data sharing between different compute engines, without extra cost of copying and serialization, compared other similar solutions.
- Vineyard 0.2.7: Airflow, Dask, and better ML experience
- Vineyard v0.2.0: big-data applications optimization on Kubernetes
What are some alternatives?
PCLExt.FileStorage - Portable Storage APIs
cpp-ipc - C++ IPC Library: A high-performance inter-process communication using shared memory on Linux/Windows.
Erdos - Modular and modern graph-theory algorithms framework in Java
shadesmar - Fast C++ IPC using shared memory
zef - Toolkit for graph-relational data across space and time
iceoryx - Eclipse iceoryx™ - true zero-copy inter-process-communication
GraphScope - 🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
pe-util - List shared object dependencies of a portable executable (PE)
ecal - 📦 eCAL - enhanced Communication Abstraction Layer. A high performance publish-subscribe, client-server cross-plattform middleware.
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.