# Introducing graph computing and programming in Julia

**URL:** <https://discourse.julialang.org/t/introducing-graph-computing-and-programming-in-julia/77629>\
**Category:** Julia at Scale\
**Created:** [March 9, 2022, 11:07am UTC](https://discourse.julialang.org/t/introducing-graph-computing-and-programming-in-julia/77629 "2022-03-09T11:07:03Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Yadong\_Li](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/yadong_li/32/25411_2.png) [@Yadong\_Li](https://discourse.julialang.org/u/Yadong_Li)\
**Post date:** [March 9, 2022, 11:07am UTC](https://discourse.julialang.org/t/introducing-graph-computing-and-programming-in-julia/77629/1 "2022-03-09T11:07:03Z")

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Dear Fellow Julia Developers:

I want to share the following introductory blog on graph computing and its enormous potential.

> **[Why Graph Computing is STELLAR — JULIUS TECHNOLOGIES](https://www.juliustech.co/blog/why-graph-computing-is-stellar)**
>
> Graph computing solves the most common and costly problems in enterprise systems once and for all, including: scalability, transparency, explainability, lineage, adaptability and reproducibility.

Julia is the perfect language for building generic, transparent and scalable graph computing solutions. We’d really like to hear your thoughts on graph computing, whether you see the same potential as we do.