SaaSHub helps you find the best software and product alternatives Learn more →
Top 14 graph-analysis Open-Source Projects
-
Memgraph
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
-
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.
-
pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
constellation
A graph-focused data visualisation and interactive analysis application. (by constellation-app)
-
python-graphblas
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
-
social-balance
A library-agnostic project for calculating exactly and efficiently social balance, based on the Aref, Mason and Wilson paper (https://arxiv.org/abs/1611.09030)
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Built from this data... https://github.com/networkx/networkx/blob/main/examples/grap...
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 some very difficult problems.
Either DM me (the hiring manager) or apply here: https://join.com/companies/memgraph/10684850-staff-software-...
If you need more speed (but less features), check out networkit - https://networkit.github.io/
Actual Web Site
Project mention: Ask HN: How do I find someone to fix an OSS I can't? | news.ycombinator.com | 2024-02-13Hi HN, I have been looking to fix a fantastic piece of open source Java-based software that has been having more and more issues running on Mac, likely due to MacOS deprecating OpenGL support, which the app heavily relies on. The app can be found on Githubh here: https://github.com/constellation-app/constellation
I have managed to get it somewhat functional again on Mac but am still running into multiple issues of it crashing and/or freezing when using it on Mac. I'm not a full-time software dev and unfortunately don't have the skills to get this properly ironed out.
I wanted to ask here if there is a good online platform I could use to find someone who would be able to fix the issues for a reasonable fee?
This is interesting to me because it's advancing the work on the notion of quantum graph problem solving.
I'm sure we've all heard how quantum computers can be used in the future to decrypt information from today. There's a lot of research out there on how QC may be able to efficiently factor large semiprimes and bust our existing cryptographic algorithms, but to me this is the more mundane side of QC.
The exciting side to me is that many graph problems, particularly whole graph problems like connectivity and shortest paths have a potential quantum advantage. This is particularly advantageous for sparse and hypersparse graphs that have billions of nodes but relatively low node degree. Language Models, chemical assay databases, proteomics, causal inference, and fraud detection are just a few problems that involve huge sparse graphs that could get a huge boost from quantum.
And to show my own bias here [1], I think the future of graph algorithms, including quantum, is expressing them in Linear Algebraic form with the GraphBLAS API. Using the GraphBLAS, you can write your algorithm in a mathematical form using the multiplication of adjacency matrices that is then synthesized to some optimal form for a given architecture.
The same code you write can then be run on a variety of backends, currently CPUs and CUDA using SuiteSparse's new JIT, but soon FPGAs and yes, quantum computers. Parallelism will become so broad and conceptually divergent that you won't even be able to conceive of an efficient hand written single function for all possible platforms.
[1] https://github.com/Graphegon/pygraphblas
graph-analysis related posts
-
NetworkX 3.0
-
PyKale Preprint: Knowledge-Aware Machine Learning from Multiple Sources in Python [P][R]
-
[S] A library agnostic Python project for computing exactly and efficiently social balance in graphs. Can be easily used with NetworkX, graph_tool and igraph
-
[S] A library agnostic Python project for computing exactly and efficiently social balance in graphs. Can be easily used with NetworkX, graph_tool and igraph
-
Interactive Graph Visualization Tools
-
[Topic][Open] Open Discussion Monday — Anybody can post a general visualization question or start a fresh discussion!
-
A note from our sponsor - SaaSHub
www.saashub.com | 4 May 2024
Index
What are some of the best open-source graph-analysis projects? This list will help you:
Project | Stars | |
---|---|---|
1 | NetworkX | 14,200 |
2 | Memgraph | 2,096 |
3 | cugraph | 1,575 |
4 | Graphin | 978 |
5 | networkit | 737 |
6 | pykale | 427 |
7 | CXXGraph | 396 |
8 | constellation | 380 |
9 | pygraphblas | 338 |
10 | incubator-graphar | 175 |
11 | python-graphblas | 113 |
12 | graphblas-algorithms | 62 |
13 | lightning-tools | 22 |
14 | social-balance | 3 |
Sponsored