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Machine Learning Tech Brief By HackerNoon · Yesterday · 5 min

I Tested Graphify on a Real Python Repo. Here's What Happened

This story was originally published on HackerNoon at: https://hackernoon.com/i-tested-graphify-on-a-real-python-repo-heres-what-happened. Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-agents, #knowledge-graph, #developer-tools, #open-source, #python, #graphify-testing, #graphify-token-savings, #codebase-visualization, and more. This story was written by: @ishankdev. Learn more about this writer by checking @ishankdev's about page, and for more stories, please visit hackernoon.com. Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.

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This story was originally published on HackerNoon at: https://hackernoon.com/i-tested-graphify-on-a-real-python-repo-heres-what-happened.
Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-agents, #knowledge-graph, #developer-tools, #open-source, #python, #graphify-testing, #graphify-token-savings, #codebase-visualization, and more.

This story was written by: @ishankdev. Learn more about this writer by checking @ishankdev's about page, and for more stories, please visit hackernoon.com.

Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.

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