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Top 6 Jupyter Notebook graph-algorithm Projects
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kglab
Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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python-graphblas
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
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semi-supervised-segmentation-on-graphs
Semi supervised segmentation on graphs (images and pointclouds). Using Eikonal equation.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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Index
What are some of the best open-source graph-algorithm projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | kglab | 556 |
| 2 | global-chem | 140 |
| 3 | python-graphblas | 112 |
| 4 | everystreet | 83 |
| 5 | Graph_Signal_Processing | 14 |
| 6 | semi-supervised-segmentation-on-graphs | 4 |
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