danbooru
NetworkX
danbooru | NetworkX | |
---|---|---|
8 | 61 | |
2,115 | 14,200 | |
1.1% | 0.9% | |
9.8 | 9.6 | |
4 days ago | 5 days ago | |
Ruby | Python | |
GNU General Public License v3.0 or later | 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.
danbooru
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HortusFox – A self-hosted collaborative plant management system
This is par for the course for me: I want to run this software
https://github.com/danbooru/danbooru
and the compose file “just doesn’t work” because it is a few years old and not compatible with the docker compose version installed with Ubuntu. I took a crack at updating the config file but didn’t find a lot of documentation to help…. And remember I’ve frequently had “simple” Docker installations become a matter of “download files for hours, have the installation fail, repeat…” so engaging with that monster at all seems like a risky time sink.
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Google open-sources their graph mining library
Really though an open source product has not really been released until there is documentation walking through setting it up and doing some simple thing with it. As it is I am really not so sure what it is, what kind of hardware it can run on, etc. Do you really think it got 117 Github stars from people who were qualified to evaluate it?
(I’d consider myself qualified to evaluate it.. If I put two weeks into futzing with it.)
Every open source release I’ve done that’s been successful has involved me spending almost as much time in documentation, packaging and fit-and-finish work as I did getting working it well enough for me. It’s why I dread the thought of an open source YOShInOn as much as I get asked for it.
Sometimes though it is just a bitch. I have some image curation projects and was thinking of setting up some “booru” software and found there wasn’t much out there that was easy to install because there are so many moving parts and figured I’d go for the motherf4r of them all because at least the docker compose here is finite
https://github.com/danbooru/danbooru
even if it means downloading 345TB of images over my DSL connection.
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I want to make a website with the format of danbooru for sharing and archiving images. How would I start going about that?
Danbooru is open source under a permissive license (https://github.com/danbooru/danbooru), so you can fork it and add features from there
- ImgBB/imgur self hosted alternative?
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Yesterday I asked for a tracker for high quality scans of paintings. There were none. Yesterday I procured high quality scans of many painters' paintings. Now How do I start my own tracker?
Does this need to be a tracker? I think this might be better suited to an image board. You can look into running your own instance of Danbooru.
- Stash but for "random" clips
- I need your help. I’m making a snake api (I’ll explain what this is) and would love your help
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[Request] Danbooru style image sorter.
Danbooru itself is opensource: https://github.com/danbooru/danbooru
NetworkX
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Routes to LANL from 186 sites on the Internet
Built from this data... https://github.com/networkx/networkx/blob/main/examples/grap...
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The Hunt for the Missing Data Type
I think one of the elements that author is missing here is that graphs are sparse matrices, and thus can be expressed with Linear Algebra. They mention adjacency matrices, but not sparse adjacency matrices, or incidence matrices (which can express muti and hypergraphs).
Linear Algebra is how almost all academic graph theory is expressed, and large chunks of machine learning and AI research are expressed in this language as well. There was recent thread here about PageRank and how it's really an eigenvector problem over a matrix, and the reality is, all graphs are matrices, they're typically sparse ones.
One question you might ask is, why would I do this? Why not just write my graph algorithms as a function that traverses nodes and edges? And one of the big answers is, parallelism. How are you going to do it? Fork a thread at each edge? Use a thread pool? What if you want to do it on CUDA too? Now you have many problems. How do you know how to efficiently schedule work? By treating graph traversal as a matrix multiplication, you just say Ax = b, and let the library figure it out on the specific hardware you want to target.
Here for example is a recent question on the NetworkX repo for how to find the boundary of a triangular mesh, it's one single line of GraphBLAS if you consider the graph as a matrix:
https://github.com/networkx/networkx/discussions/7326
This brings a very powerful language to the table, Linear Algebra. A language spoken by every scientist, engineer, mathematician and researcher on the planet. By treating graphs like matrices graph algorithms become expressible as mathematical formulas. For example, neural networks are graphs of adjacent layers, and the operation used to traverse from layer to layer is matrix multiplication. This generalizes to all matrices.
There is a lot of very new and powerful research and development going on around sparse graphs with linear algebra in the GraphBLAS API standard, and it's best reference implementation, SuiteSparse:GraphBLAS:
https://github.com/DrTimothyAldenDavis/GraphBLAS
SuiteSparse provides a highly optimized, parallel and CPU/GPU supported sparse Matrix Multiplication. This is relevant because traversing graph edges IS matrix multiplication when you realize that graphs are matrices.
Recently NetworkX has grown the ability to have different "graph engine" backends, and one of the first to be developed uses the python-graphblas library that binds to SuiteSparse. I'm not a directly contributor to that particular work but as I understand it there has been great results.
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Build the dependency graph of your BigQuery pipelines at no cost: a Python implementation
In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery.
- NetworkX – Network Analysis in Python
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Custom libraries and utility tools for challenges
If you program in Python, can use NetworkX for that. But it's probably a good idea to implement the basic algorithms yourself at least one time.
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Google open-sources their graph mining library
For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2].
Integrations include:
* NetworkX -- https://networkx.org/
* DeepGraphLibrary -- https://www.dgl.ai/
* cuGraph (Rapids.ai Graph) -- https://docs.rapids.ai/api/cugraph/stable/
* PyG (PyTorch Geometric) -- https://pytorch-geometric.readthedocs.io/en/latest/
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1: https://docs.arangodb.com/3.11/data-science/adapters/
2: https://github.com/arangodb/interactive_tutorials#machine-le...
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org-roam-pygraph: Build a graph of your org-roam collection for use in Python
org-roam-ui is a great interactive visualization tool, but its main use is visualization. The hope of this library is that it could be part of a larger graph analysis pipeline. The demo provides an example graph visualization, but what you choose to do with the resulting graph certainly isn't limited to that. See for example networkx.
What are some alternatives?
myimouto-plus - A Moebooru port to PHP, you should probably just use moebooru as this isn't supported or worked on.
Numba - NumPy aware dynamic Python compiler using LLVM
Discourse - A platform for community discussion. Free, open, simple.
Dask - Parallel computing with task scheduling
devise - Flexible authentication solution for Rails with Warden. [Moved to: https://github.com/heartcombo/devise]
julia - The Julia Programming Language
annict - A platform for anime addicts built with Rails and Hotwire.
RDKit - The official sources for the RDKit library
Ruby on Rails - Ruby on Rails
snap - Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Devise - Flexible authentication solution for Rails with Warden.
SymPy - A computer algebra system written in pure Python