Centrum Respo tech stack
Centrum Respo builds mostly with Python, JavaScript, Node JS, PHP. Its stack also includes AWS, GitHub, Amazon Redshift, MySQL. Python is named in 3 of the 6 job postings Centrum Respo published in the last 12 months (50%). Counted by Alion from the job postings of Centrum Respo, updated Oct 10, 2026.
What programming languages does Centrum Respo use?
Python is named in 50% of job postings at Centrum Respo, followed by JavaScript (33%), Node JS (33%), PHP (33%).
What frameworks and libraries does Centrum Respo use?
NumPy is named in 33% of job postings at Centrum Respo, followed by PyTorch (33%), Scikit-learn (33%), LangChain (33%).
NumPy
2 33%
PyTorch
2 33%
Scikit-learn
2 33%
LangChain
2 33%
LangGraph
2 33%
LlamaIndex
2 33%
React Native
2 33%
React.js
2 33%
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What databases does Centrum Respo use?
Amazon Redshift is named in 33% of job postings at Centrum Respo, followed by MySQL (33%), PostgreSQL (33%), TimescaleDB (17%).
What cloud and platforms does Centrum Respo use?
AWS is named in 50% of job postings at Centrum Respo, followed by GitHub (33%), OpenAI (33%), Amazon EC2 (17%).
AWS
3 50%
GitHub
2 33%
Amazon EC2
1 17%
Amazon EKS
1 17%
GitHub Actions
1 17%
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What developer tools does Centrum Respo use?
Rest API is named in 50% of job postings at Centrum Respo, followed by Git (33%), ArgoCD (17%), Helm (17%).
What AI and ML technologies does Centrum Respo use?
LLM is named in 33% of job postings at Centrum Respo.
LLM
2 33%
Which engineering practices does Centrum Respo ask for?
CI/CD is named in 50% of job postings at Centrum Respo, followed by Embeddings (33%), Function Calling (33%), Machine Learning (33%).
CI/CD
3 50%
Embeddings
2 33%
Function Calling
2 33%
RAG
2 33%
Computer Vision
2 33%
AI Agents
1 17%
Show all (12)
How does your stack fit Centrum Respo?
How is the Centrum Respo stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Centrum Respo stack?
Centrum Respo scores 80 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the Centrum Respo stack in its industry?
Share of the 221 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Centrum Respo
Questions about the Centrum Respo tech stack
What programming languages does Centrum Respo use?
The languages named in Centrum Respo job postings are Python (50%), JavaScript (33%), Node JS (33%), PHP (33%), TypeScript (33%), as a share of the 6 postings of the last 12 months.
Does Centrum Respo use NumPy?
Yes. NumPy is named in 2 of 6 job postings (33%) and required in 2 of them.
What cloud and platforms does Centrum Respo use?
The cloud and platforms named in Centrum Respo job postings are AWS (3), GitHub (2), OpenAI (2) (postings in brackets).
Is the Centrum Respo tech stack changing?
Yes. Embeddings, Function Calling, LLM, Machine Learning first appeared in Centrum Respo job postings in the last six months.
How modern is the Centrum Respo tech stack?
Centrum Respo scores 80 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the Centrum Respo tech stack?
Alion reads every job posting Centrum Respo publishes and tags the technologies each one names. The figures on this page count the 6 postings of the last 12 months and were updated on Oct 10, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Centrum Respo tech stack: 53 technologies from 6 job postings", as of Oct 10, 2026. https://alion.io/company/centrum-respo/technologies