kgsearch VS Flow_Graph

Compare kgsearch vs Flow_Graph and see what are their differences.

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kgsearch Flow_Graph
1 1
35 13
- -
0.0 0.0
over 1 year ago about 2 years ago
Python TypeScript
MIT License -
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.

Flow_Graph

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

What are some alternatives?

When comparing kgsearch and Flow_Graph 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

knowledge - Knowledge is a tool for saving, searching, accessing, exploring and chatting with all of your favorite websites, documents and files.

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

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

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

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.