quine
quine-iconLibrary
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| quine | quine-iconLibrary | |
|---|---|---|
| 6 | 1 | |
| 281 | 0 | |
| 5.7% | - | |
| 9.3 | 3.9 | |
| 7 days ago | about 1 year ago | |
| Scala | Jupyter Notebook | |
| GNU General Public License v3.0 or later | - |
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.
quine
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Create a Quine Icon Library with Python
Quine
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Postgres: The Graph Database You Didn't Know You Had
Re [5]'s asssertion under "blunders" of the diminish usecases post sql/pgq, what do you think of sometime like Quine?
https://github.com/thatdot/quine
Their claim to fame is progressive incremental computation - each node is an actor responding to events -- and I'm not sure how a relational db could do that and match the latencies. That usecase is pretty much pattern matching and forensics and stuff like that.
https://docs.quine.io/core-concepts/architecture.html
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Use Quine Graph ETL to reduce SIEM storage costs.
Download Quine - JAR file | Docker Image | Github
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Standing Queries: Turning Data-Driven Events into Event-Driven Data
The first step to making a Standing Query is determining the graph pattern you want to watch for. You may have deployed Quine in your data pipeline to perform a series of tasks to isolate data, implement a specific feature, or monitor the stream to find a specific pattern in real time. In any case, Quine will implement your logic using Cypher. The recipe for this example is included in the Quine repo if you'd like to follow along.
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Ingesting From Multiple Data Sources into Quine Streaming Graphs
Quine is open source if you want to run this analysis for yourself. Download a precompiled version or build it yourself from the codebase (Quine Github). I published the recipe that I developed at https://quine.io/recipes. The page has instructions for downloading the CSV files and running the recipe.
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Ingesting Internet Data into Quine Streaming Graph
I welcome your feedback! Drop in to Quine Slack and let me know what you think. I'm always happy to discuss Quine or answer questions.
quine-iconLibrary
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Create a Quine Icon Library with Python
You can download this script and try it for yourself in this GitHub Repo
What are some alternatives?
lila-ws - Lichess' websocket server
AkkaGRPC - Akka gRPC
Scala Graph - Graph for Scala is intended to provide basic graph functionality seamlessly fitting into the Scala Collection Library. Like the well known members of scala.collection, Graph for Scala is an in-memory graph library aiming at editing and traversing graphs, finding cycles etc. in a user-friendly way.
fs2-kafka - Functional Kafka Streams for Scala
Iteratee - Iteratees for Cats
ldbc_snb_bi - Reference implementations for the LDBC Social Network Benchmark's Business Intelligence (BI) workload
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.
gremlin-scala - Scala wrapper for Apache TinkerPop 3 Graph DSL
wust2 - Graph-Based Realtime Collaboration System. Woost yourself.
ldbc_snb_datagen_spark - Synthetic graph generator for the LDBC Social Network Benchmark, running on Spark