Uses Sharphound, Bloodhound and Neo4j to produce an actionable list of attack paths for targeted remediation.
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Updated
Jul 9, 2024 - Python
Uses Sharphound, Bloodhound and Neo4j to produce an actionable list of attack paths for targeted remediation.
Here we will sort out a variety of interesting Python library learning
Graph Representation of MITRE ATT&CK's CTI data
A tool to import SnpEff annotated files to a Neo4j Graph database
A search and recommender system based on Elasticsearch, Neo4j, Flask, Apache
Cypher access to Neo4J via IPython
COMBAT-TB model is a Chado inspired graph model for genome annotation.
An exploratory, tutorial and analytical view of the Unified Medical Language System (UMLS) & the software/technologies provided via being a free UMLS license holder. This repo will subset 2021AB UMLS native release, introduce/build upon UMLS provided tools to load a configured subset into first a relational database --> MySQL, SQLite, PostgreSQL…
convert pandas DataFrames to neo4j graphs
Python uploader of GTFS data to Neo4j db. Creates correct graph according to the GTFS static specification (https://developers.google.com/transit/gtfs).
Analyze contributors to PyPi using Libraries.io data
A tool to aggregate and load TB data to Neo4j
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