kgsearch VS algorithmx-python

Compare kgsearch vs algorithmx-python and see what are their differences.

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kgsearch algorithmx-python
1 1
35 36
- -
0.0 2.6
over 1 year ago about 3 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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kgsearch

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

algorithmx-python

Posts with mentions or reviews of algorithmx-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-24.
  • How to run JS code locally?
    2 projects | /r/learnjavascript | 24 Oct 2021
    There are packages written in JavaScript that have Python wrappers—many of the nice looking chart packages are like this. For network diagrams I like to use AlgorithmX.

What are some alternatives?

When comparing kgsearch and algorithmx-python 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

chaos-theory - Playing around with chaos theory simulations. Creating equilibrium graphs and visualizing the logistic maps.

Flow_Graph - ➡️ A tool for visualizing relationships between concepts

ipycanvas - Interactive Canvas in Jupyter

graph-progression - Create a progression of recommendations from a user-supplied recommender

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

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.