Useful and interesting algorithms
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Updated
Jun 12, 2024 - C++
Useful and interesting algorithms
A graph-focused data visualisation and interactive analysis application.
Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
CNCF Landscape Graph, data model, and applications.
A multi-backend graph learning library.
A Fast, Declarative, and Extensible ETL Framework for Graph Databases.
A high performance Python graph library implemented in Rust.
NR Broker handles the business logic of authenticating and validating requests for automated processes to access secrets.
Knowledge Management Server
RDF.rb is a pure-Ruby library for working with Resource Description Framework (RDF) data.
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap
Apache TinkerPop - a graph computing framework
Web app that converts speech to a text transcript and lets you save the generated transcripts to OneDrive using Microsoft Graph
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
Monadic directed acyclic graph datastructures for Scala
Open-source code analysis platform for C/C++/Java/Binary/Javascript/Python/Kotlin based on code property graphs. Discord https://discord.gg/vv4MH284Hc
Visualize your multi-stage Dockerfiles
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