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Top 13 Python Neo4j Projects
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pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
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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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GoodHound
Uses Sharphound, Bloodhound and Neo4j to produce an actionable list of attack paths for targeted remediation.
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movies-python-bolt
Neo4j Movies Example application with Flask backend using the neo4j-python-driver
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full-stack-fastapi-postgresql
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Nuxt3, Docker, automatic HTTPS and more. (by whythawk)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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reddit-detective
Play detective on Reddit: Discover political disinformation campaigns, secret influencers and more
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gqlalchemy
GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
Project mention: [GitHub Action]: Wrappers for sqlmap, bbot and nikto | /r/cybersecurity | 2023-05-29Its not that much of a tool than wrappers of few awesome tools that most of you probably know and use today - sqlmap, bbot and nikto.
Extra fun: We find most enterprise/gov graph analytics work only requires 1-2 attributes to go along with the graph index, and those attributes often are already numeric (time, $, ...) or can be dictionary-encoded as discussed here (categorical, ID, ...)... so even 'tough' billion scale graphs are fine on 1 gpu.
Early, but that's been the basic thinking into our new GFQL system: slice into the columns you want, and then do all the in-GPU traversals you want. In our V1, we keep things dataframe-native include the in-GPU data representation, and are already working on the first extensions to support switching to more graph-native indexing for steps as needed.
Ex: https://github.com/graphistry/pygraphistry/blob/master/demos...
Name Description Url BloodHound BloodHound GUI https://github.com/BloodHoundAD/BloodHound/ PlumHound Generate a report with actions to resolve the security flaws in the Active Directory configuration https://github.com/DefensiveOrigins/PlumHound/ GoodHound GoodHound operationalises Bloodhound by determining the busiest paths to high value targets and creating actionable output to prioritise remediation of attack paths. https://github.com/idnahacks/GoodHound/ BlueHound Tool that helps blue teams pinpoint the security issues that actually matter. By combining information about user permissions, network access and unpatched vulnerabilities, BlueHound reveals the paths attackers would take if they were inside your network. https://github.com/zeronetworks/BlueHound/
Name Description Url BloodHound BloodHound GUI https://github.com/BloodHoundAD/BloodHound/ PlumHound Generate a report with actions to resolve the security flaws in the Active Directory configuration https://github.com/DefensiveOrigins/PlumHound/ GoodHound GoodHound operationalises Bloodhound by determining the busiest paths to high value targets and creating actionable output to prioritise remediation of attack paths. https://github.com/idnahacks/GoodHound/ BlueHound Tool that helps blue teams pinpoint the security issues that actually matter. By combining information about user permissions, network access and unpatched vulnerabilities, BlueHound reveals the paths attackers would take if they were inside your network. https://github.com/zeronetworks/BlueHound/
Project mention: Link Prediction With node2vec in Physics Collaboration Network | dev.to | 2023-06-16As already mentioned, link prediction refers to the task of predicting missing links or links that are likely to occur in the future. In this tutorial, we will make use the of MAGE spell called node2vec. Also, we will use Memgraph to store data, and gqlalchemy to connect from a Python application. The dataset will be similar to the one used in this paper: Graph Embedding Techniques, Applications, and Performance: A Survey.
Python Neo4j related posts
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Graph query language for Python-NetworkX
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Search NetworkX graph networks using openCypher queries
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GrandCypher: Implementation of the Cypher language for searching NetworkX graphs
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Alternative to Datawalk or Analyst's Notebook?
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BBot, an OSINT Swiss knife for everyone
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Open source
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A note from our sponsor - InfluxDB
www.influxdata.com | 7 May 2024
Index
What are some of the best open-source Neo4j projects in Python? This list will help you:
Project | Stars | |
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1 | bbot | 3,733 |
2 | pygraphistry | 2,060 |
3 | PlumHound | 1,015 |
4 | GoodHound | 438 |
5 | movies-python-bolt | 370 |
6 | langchain2neo4j | 241 |
7 | full-stack-fastapi-postgresql | 224 |
8 | reddit-detective | 206 |
9 | gqlalchemy | 207 |
10 | zef | 107 |
11 | impfuzzy | 82 |
12 | dotmotif | 80 |
13 | grand-cypher | 62 |
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