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CoinBLAS Alternatives
Similar projects and alternatives to CoinBLAS
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Joplin
Joplin - the secure note taking and to-do app with synchronisation capabilities for Windows, macOS, Linux, Android and iOS.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Oat++
🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
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mapbox-gl-js
Interactive, thoroughly customizable maps in the browser, powered by vector tiles and WebGL
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HyperTag
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Tasker
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osmosis-js
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better CoinBLAS alternative or higher similarity.
CoinBLAS reviews and mentions
Posts with mentions or reviews of CoinBLAS.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-05.
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The "missing" graph datatype already exists. It was invented in the '70s
When you consider that a graph and a matrix are isomorphic, doing vector matrix multiplication takes a vector with a set value, say row 4, and multiplies it by a matrix where row 4 has values present that represent edges to the nodes that are adjacent to it (ie "adjacency" matrix). The result is a vector with the next "step" in a BFS across the graph, do that in a loop and you step across the whole graph.
A cool result of this is, for example, taking an adjacency matrix and squaring it is the "Friend of a Friend" graph. It takes every node/row and multiplies it by itself, returning a matrix that are adjacent to the adjacencies of each node, ie, the friends (adjacencies of the adjacencies) of friends (adjacencies) of the nodes.
Deeper traversal are just higher nodes, a matrix cubed are the friends of the friends of the friends.
A picture is worth a thousand words, see figure 7 of this paper:
https://arxiv.org/pdf/1606.05790.pdf
Also check out figure 8, this shows how incidence matrices can work to represent hyper and multi graphs. An pair of incidence matrices reprsent two graphs, one from nodes to edges and the other from edges to nodes, these are n by m and m by n. When you multiply them, you get a square adjacency matrix that "projects" the incidence into an adjacency. This can be used to collapse hypergraphs into simple graphs that use different semirings to combine the multiple edges.
For some pretty pictures of this kind of stuff, check out CoinBLAS (note I am not a crypto-bro, it was just a very handy extremely large multi-graph that I could easily download in chunks to play with):
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Ask HN: What Are You Working On?
Python wrapper around The GraphBLAS API:
https://github.com/michelp/pygraphblas
For an upcoming paper we've open sourced using pygraphblas to analyse the bitcoin graph using the GAP benchmarks on a server with 1TB of RAM:
- Show HN: CoinBLAS – Bitcoin Analysis with the GraphBLAS
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A note from our sponsor - InfluxDB
www.influxdata.com | 19 Apr 2024
Stats
Basic CoinBLAS repo stats
3
21
1.8
almost 3 years ago
The primary programming language of CoinBLAS is Jupyter Notebook.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com