Spector tech stack
Spector builds mostly with Java, Node JS, Python, JavaScript. Its stack also includes PyTorch, Scikit-learn, Amazon EKS, Azure AKS. PyTorch is named in 2 of the 7 job postings Spector published in the last 12 months (29%). Counted by Alion from the job postings of Spector, updated Oct 14, 2026.
What programming languages does Spector use?
Java is named in 14% of job postings at Spector, followed by Node JS (14%), Python (14%), JavaScript (14%).
What frameworks and libraries does Spector use?
PyTorch is named in 29% of job postings at Spector, followed by Scikit-learn (29%), TensorFlow (29%), Angular (14%).
What databases does Spector use?
PostgreSQL is named in 14% of job postings at Spector, followed by Redis (14%).
What cloud and platforms does Spector use?
Amazon EKS is named in 14% of job postings at Spector, followed by Azure AKS (14%), GitHub Actions (14%), GitLab CI (14%).
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What developer tools does Spector use?
CloudFormation is named in 14% of job postings at Spector, followed by Docker (14%), Jenkins (14%), Prometheus (14%).
What AI and ML technologies does Spector use?
Claude is named in 14% of job postings at Spector.
Which engineering practices does Spector ask for?
AI Agents is named in 86% of job postings at Spector, followed by Machine Learning (71%), Time Series Forecasting (57%), Knowledge Graph (43%).
What does each Spector team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
3 postingsHow does your stack fit Spector?
How is the Spector 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 Spector stack?
Spector scores 79 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 Spector stack in its industry?
Share of the 1,148 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Spector
Questions about the Spector tech stack
What programming languages does Spector use?
The languages named in Spector job postings are Java (14%), Node JS (14%), Python (14%), JavaScript (14%), TypeScript (14%), as a share of the 7 postings of the last 12 months.
Does Spector use PyTorch?
Yes. PyTorch is named in 2 of 7 job postings (29%) and required in 2 of them.
What cloud and platforms does Spector use?
The cloud and platforms named in Spector job postings are Amazon EKS (1), Azure AKS (1), GitHub Actions (1) (postings in brackets).
What skills do you need for a AI/ML job at Spector?
AI/ML postings at Spector most often require PyTorch (2), Scikit-learn (2), TensorFlow (2), out of 3 postings in the last 12 months.
Is the Spector tech stack changing?
No new technology has appeared in Spector job postings in the last six months.
How modern is the Spector tech stack?
Spector scores 79 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 Spector tech stack?
Alion reads every job posting Spector publishes and tags the technologies each one names. The figures on this page count the 7 postings of the last 12 months and were updated on Oct 14, 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, "Spector tech stack: 35 technologies from 7 job postings", as of Oct 14, 2026. https://alion.io/company/spector-3/technologies
