wust2
quine
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| wust2 | quine | |
|---|---|---|
| 1 | 6 | |
| 10 | 281 | |
| - | 5.7% | |
| 2.7 | 9.3 | |
| over 2 years ago | 2 days ago | |
| Scala | Scala | |
| GNU Affero General Public License v3.0 | 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.
wust2
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Show HN: We built a graph based task manager
Super cool! We need more graphs in the space. It reminds me of my last failed startup. https://github.com/woost/wust2
Everything was a node in the graph and could be connected and nested: folders, todos, notes, chat messages, even kanban columns.
We had big difficulties to sell, because nobody understood the concept. Or saw the advantages.
But yours is more visual and may be easier to grasp, because people today often already know Miro and Notion. I whish you best of luck and hope you succeed!
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.
What are some alternatives?
renku - Renku provides a platform and tools for reproducible and collaborative data analysis.
lila-ws - Lichess' websocket server
hackmd - CodiMD - Realtime collaborative markdown notes on all platforms. [Moved to: https://github.com/hackmdio/codimd]
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.
gremlin-scala - Scala wrapper for Apache TinkerPop 3 Graph DSL
fs2-kafka - Functional Kafka Streams for Scala
neotypes - Scala lightweight, type-safe, asynchronous driver for neo4j
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.