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Free open source OSINT platform for gathering, ingesting, and analyzing open-source intelligence data

12 starsPython

Alexandria, open source news aggregation and classification suite

by RicDan·Mar 26, 2026·6 points·0 comments
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AI Analysis

●MidNiche GemShip It

Functional pipeline with Neo4j graphs, but training system and GPU support aren't built yet.

Strengths
  • •Modular Docker compose architecture with RabbitMQ enables flexible pipeline configuration.
  • •Custom label and relation schema lets users define their own NLP classification targets.
  • •Neo4j graph database visualizes entity relationships with temporal decay controls.
Weaknesses
  • •Author admits training pipeline doesn't exist yet — only manual labelling is implemented.
  • •NLP runs CPU-only with no GPU acceleration, making processing noticeably slow.
Category
Data
Target Audience

Researchers and journalists tracking news sources and entity relationships

Similar To

Feedly · Inoreader · Maltego

Post Description

I've always felt it a bit hard to grasp how far news reach and all. Because I'm also a bit behind on python, I decided to build something from scratch.

It's really simple: docker compose, micro services connected to some very basic data pipelines using rabbitMQ, and some local NLP. The NLP portion is a bit slow as it's pure CPU and doesn't leverage GPU/NPE if you have them.

The tool offers you to define your own "labels" and "relations", which are then picked up by the local NLP models to assign it to news articles. Standard, there are only a few included.

But the goal is to have your own personal news aggregator, and adding/changing news sources (if they have a rss feed) should be pretty easy through the docker compose file.

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