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Top 23 graph-algorithm Open-Source Projects
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C# Algorithms
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
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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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cozo
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
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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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graphtage
A semantic diff utility and library for tree-like files such as JSON, JSON5, XML, HTML, YAML, and CSV.
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Memgraph
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
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awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
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graph
A library for creating generic graph data structures and modifying, analyzing, and visualizing them.
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neo4j-apoc-procedures
Awesome Procedures On Cypher for Neo4j - codenamed "apoc" If you like it, please ★ above ⇧
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graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
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SuiteSparse
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
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SaaSHub
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Project mention: Transactional, relational-graph-vector database that uses Datalog for query | news.ycombinator.com | 2024-03-31
Project mention: Borrow Checking, RC, GC, and the Eleven () Other Memory Safety Approaches | news.ycombinator.com | 2024-04-24Are you just trying to throw shade on Rust?
https://doc.rust-lang.org/std/collections/struct.LinkedList....
> NOTE: It is almost always better to use Vec or VecDeque because array-based containers are generally faster, more memory efficient, and make better use of CPU cache.
https://docs.rs/petgraph 78 M downloads
I'm not familiar with Pijul, and haven't finished watching this presentation, but IME the problems with modern version control tools is that they still rely on comparing lines of plain text, something we've been doing for decades. Merge conflicts are an issue because our tools are agnostic about the actual content they're tracking.
Instead, the tools should be smarter and work on the level of functions, classes, packages, sentences, paragraphs, or whatever primitive makes sense for the project and file that is being changed. In the case of code bases, they need to be aware of the language and the AST of the program. For binary files, they need to be aware of the file format and its binary structure. This would allow them to show actually meaningful diffs, and minimize the chances of conflicts, and of producing a corrupt file after an automatic merge.
There has been some research in this area, and there are a few semantic diffing tools[1,2,3], but I'm not aware of this being widely used in any VCS.
Nowadays, with all the machine learning advances, the ideal VCS should also use ML to understand the change at a deeper level, and maybe even suggest improvements. If AI can write code for me, it could surely understand what I'm trying to do, and help me so that version control is entirely hands-free, instead of having to fight with it, and be constantly aware of it, as I have to do now.
I just finished watching the presentation, and Pijul seems like an iterative improvement over Git. Nothing jumped out at me like a killer feature that would make me want to give it a try. It might be because the author focuses too much on technical details, instead of taking a step back and rethinking what a modern VCS tool should look like today.
[1]: https://semanticdiff.com/
[2]: https://github.com/trailofbits/graphtage
[3]: https://github.com/GumTreeDiff/gumtree
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-...
Project mention: Create, analyze, and modify graphs and networks in Go | news.ycombinator.com | 2023-11-05
I discovered a well-designed mazegenerator codebase by @razimantv that accomplishes this, generating mazes in SVG file format.
If you need more speed (but less features), check out networkit - https://networkit.github.io/
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
graph-algorithms related posts
- Borrow Checking, RC, GC, and the Eleven () Other Memory Safety Approaches
- The Hunt for the Missing Data Type
- Routes to LANL from 186 sites on the Internet
- NetworkX – Network Analysis in Python
- NetworkX – Network Analysis in Python
- NetworkX – Network Analysis in Python
- Custom libraries and utility tools for challenges
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A note from our sponsor - WorkOS
workos.com | 29 Apr 2024
Index
What are some of the best open-source graph-algorithm projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | NetworkX | 14,178 |
| 2 | C# Algorithms | 5,813 |
| 3 | VivaGraphJS | 3,705 |
| 4 | AlgoDS | 3,419 |
| 5 | cozo | 3,099 |
| 6 | petgraph | 2,648 |
| 7 | JGraphT | 2,521 |
| 8 | graphtage | 2,320 |
| 9 | pytextrank | 2,098 |
| 10 | Memgraph | 2,086 |
| 11 | awesome-explainable-graph-reasoning | 1,934 |
| 12 | graph | 1,719 |
| 13 | neo4j-apoc-procedures | 1,662 |
| 14 | cugraph | 1,573 |
| 15 | graph-fraud-detection-papers | 1,263 |
| 16 | python-igraph | 1,232 |
| 17 | SuiteSparse | 1,065 |
| 18 | mazegenerator | 1,028 |
| 19 | networkit | 736 |
| 20 | SwiftGraph | 733 |
| 21 | communities | 697 |
| 22 | MeTA | 684 |
| 23 | graph | 684 |
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