Magic Playlist
Spotify.me
Spotalike
Playlist Machinery
Spotify
SubmitHub
Audio Habits
Muru Music
Memgraph
neo4j
FalkorDB
ArangoDB
RedisGraph
NetworkX
TigerGraph DB
Payload CMS
Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications you never thought possible in days, not months.
Memgraph directly connects to your streaming infrastructure, so you and your team don’t spend countless hours building and maintaining complex data pipelines. You can ingest data from sources like Kafka, SQL, or plain CSV files. Memgraph provides a standard interface to query your data with Cypher, a widely-used and declarative query language that is easy to write, understand and optimize for performance. This is achieved by using the property graph data model, which stores data in terms of objects, their attributes, and the relationships that connect them. This is a natural and effective way to model many real-world problems without relying on complex SQL schemas.
Memgraph is implemented in C/C++ and leverages an in-memory first architecture to ensure that you’re getting the best possible performance consistently and without surprises. It’s also ACID-compliant and highly available.
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The product is very robust and easy to use. I highly recommend it to anyone who needs to analyze streaming data in real-time.
Based on our record, Memgraph should be more popular than Magic Playlist. It has been mentiond 21 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Try this site out. It’s basically a similar to this music finder. I do encourage you to try and expand your tastes, but it’s definitely a habit to listen to use music, so ease into it! I usually make a goal of 3 new albums a week. Magic playlist. Source: over 2 years ago
In regards to OP’s question, lately I’ve been digging through genre specific sub-Reddits. There are tonnes of people out there who are absolutely obsessive about their love of certain artists. If I’m digging someone’s taste, I might go look at their comment history to see what else they like. I might then take any of the tunes that I find, plug them into Magic Playlist and then flip through the suggested tracks... Source: over 2 years ago
MagicList will do that for you. I can't recall if it'll make a direct connect with Apple Music or if you have to import it from Spotify using SongShift. Source: almost 3 years ago
My kids have completely fucked the algorithm listening to their shite, so I abandoned it a while back and now when I'm looking for new music I use this - you can create a new playlist based on a track you like and it'll push it straight to Spotify: https://magicplaylist.co/. Source: about 3 years ago
3) A weekly playlist for each one. Only new songs. https://magicplaylist.co/#/pt?_k=4mkq5q (welcome). Source: about 3 years ago
Memgraph | Staff C++ Database Engineer | REMOTE (Central/Western Europe, LatAm, or North America) https://memgraph.com/ Memgraph is a Seed stage, open source graph database vendor. Graph DBs are a great solution for GenAI, logistics, cybersecurity and fintech so we are looking to grow aggressively this year. We're looking for a staff-level engineer to set technical direction, mentor junior team members, and solve... - Source: Hacker News / 4 months ago
Relational databases have a much longer history of development, and much more engineering time has went into designing RDBMS. It is not a surprise that they are mature on more levels. By looking at the age of a product, you can get a sense of how mature RDBMS systems are compared to most GraphDB projects. Horizontal scaling is hard in GraphDBs due to the nature of how the graph is structured and how you interact... - Source: Hacker News / 7 months ago
NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / 11 months ago
Whether it's about identifying similar user profiles in a social network, detecting similar patterns in a communication network, or classifying nodes in a semantic network, cosine similarity contributes valuable insights. Combined with a powerful graph database system, such as Memgraph, it gives a better understanding of complex networks. Memgraph is an open-source in-memory graph database built to handle... - Source: dev.to / about 1 year ago
Take a look at this blog post about choosing the optimal index. It focuses on Memgraph graph database but it offers a theoretical background that is not vendor related. Source: about 1 year ago
Spotify.me - Beautiful analytics on your Spotify listening habits 🎧
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Spotalike - Spotify playlist with similar songs, according to Last.fm
FalkorDB - Explore FalkorDB, the premier knowledge graph database tailor-made for GenAI applications. Unlock the power of structured data for advanced AI insights.
Playlist Machinery - Tools that help you create & organize your Spotify playlists
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.