Top 3 Jupyter Notebook Sparql Projects
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graph-notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
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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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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Project mention: AWS Neptune for analysing event ticket sales between users - Part 1 | dev.to | 2023-05-30We will now configure a Neptune graph notebook to access the cluster, so we can run queries and generate interactive visualisations. Neptune Workbench allows users to run fully managed jupyter notebook environment in Sagemaker with the latest release of the open source graph Neptune project. This has the benefit of offering in-built capabilities like visualisation of queries
Jupyter Notebook Sparql related posts
Index
What are some of the best open-source Sparql projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | graph-notebook | 684 |
2 | kglab | 556 |
3 | gastrodon | 131 |
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