kgsearch VS chaos-theory

Compare kgsearch vs chaos-theory and see what are their differences.

chaos-theory

Playing around with chaos theory simulations. Creating equilibrium graphs and visualizing the logistic maps. (by BooleanCube)
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kgsearch chaos-theory
1 1
35 5
- -
0.0 10.0
over 1 year ago over 1 year ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

kgsearch

Posts with mentions or reviews of kgsearch. We have used some of these posts to build our list of alternatives and similar projects.

chaos-theory

Posts with mentions or reviews of chaos-theory. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing kgsearch and chaos-theory you can also consider the following projects:

pygraphistry - PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

netgraph - Publication-quality network visualisations in python

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

algorithmx-python - A library for network visualization and algorithm simulation.

qmsolve - ⚛️ A module for solving and visualizing the Schrödinger equation.

Flow_Graph - ➡️ A tool for visualizing relationships between concepts

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

linkedin-visualizer - The missing feature in LinkedIn

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

vedo - A python module for scientific analysis of 3D data based on VTK and Numpy