JGAAP
Druid
JGAAP | Druid | |
---|---|---|
4 | 25 | |
253 | 13,197 | |
-1.2% | 0.3% | |
4.2 | 9.9 | |
11 months ago | 4 days ago | |
Java | Java | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JGAAP
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Professor says I used ChatGPT
There's an open source algorithmic tool you can use to feed pre-gpt writing samples to and then give it a post GPT Sample and ask if it is the same author. You can use Wikipedia texts, other journal articles, and actual GPT texts as your adversarial examples. https://github.com/evllabs/JGAAP there are other newer neural network based5 programs too, but you'll have to Google it and figure out which one is best for your case.
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Question: Authors reusing the same rare words
And you can download a copy of one of the linguistic analysis tools they apparently used here, though you'll have to run it locally, there's no hosted version: https://github.com/evllabs/JGAAP
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Critical New 0-day Vulnerability in Popular Log4j Library - List of applications
EVLLABS JGAAP : https://github.com/evllabs/JGAAP/releases/tag/v8.0.2
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The layout of the threat e-mail on Phil's Twitter looks familiar
Example desktop tool: https://github.com/evllabs/JGAAP
Druid
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System Design: Databases and DBMS
Apache Druid
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How to choose the right type of database
Apache Druid: Focused on real-time analytics and interactive queries on large datasets. Druid is well-suited for high-performance applications in user-facing analytics, network monitoring, and business intelligence.
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the “top 10 product list” might change in real-time.
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Show HN: The simplest tiny analytics tool – storywise
https://github.com/apache/druid
It's always a question of tradeoffs.
The awesome-selfhosted project has a nice list of open-source analytics projects. It's really good inspiration to dig into these projects and find out about the technology choices that other open-source tools in the space have made.
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Analysing Github Stars - Extracting and analyzing data from Github using Apache NiFi®, Apache Kafka® and Apache Druid®
Spencer Kimball (now CEO at CockroachDB) wrote an interesting article on this topic in 2021 where they created spencerkimball/stargazers based on a Python script. So I started thinking: could I create a data pipeline using Nifi and Kafka (two OSS tools often used with Druid) to get the API data into Druid - and then use SQL to do the analytics? The answer was yes! And I have documented the outcome below. Here’s my analytical pipeline for Github stars data using Nifi, Kafka and Druid.
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Apache Druid® - an enterprise architect's overview
Apache Druid is part of the modern data architecture. It uses a special data format designed for analytical workloads, using extreme parallelisation to get data in and get data out. A shared-nothing, microservices architecture helps you to build highly-available, extreme scale analytics features into your applications.
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Real Time Data Infra Stack
Apache Druid
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When you should use columnar databases and not Postgres, MySQL, or MongoDB
But then you realize there are other databases out there focused specifically on analytical use cases with lots of data and complex queries. Newcomers like ClickHouse, Pinot, and Druid (all open source) respond to a new class of problem: The need to develop applications using endpoints published on analytical queries that were previously confined only to the data warehouse and BI tools.
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Druids by Datadog
Datadog's product is a bit too close to Apache Druid to have named their design system so similarly.
From https://druid.apache.org/ :
> Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data.
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Mom at 54 is thinking about coding and a complete career shift. Thoughts?
Maybe rare for someone to be seeking their first coding job at that age. But plenty of us are in our 50s or older and still coding up a storm. And not necessarily ancient tech or anything. My current project exposes analytics data from Apache Druid and Cassandra via Go microservices hosted in K8s.
What are some alternatives?
JSAT - Java Statistical Analysis Tool, a Java library for Machine Learning
iced - A cross-platform GUI library for Rust, inspired by Elm
nelson - Automated, multi-region container deployment
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
SuperStyl - Supervised Stylometry
Apache Cassandra - Mirror of Apache Cassandra
signald
Apache HBase - Apache HBase
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
egui - egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native
security-tools
Scylla - NoSQL data store using the seastar framework, compatible with Apache Cassandra