INEEJI tech stack
INEEJI builds mostly with Python, Java, JavaScript, Go. Its stack also includes MySQL, GCP, PyTorch, Scikit-learn. Python is named in 6 of the 7 job postings INEEJI published in the last 12 months (86%). Counted by Alion from the job postings of INEEJI, updated Sep 27, 2026.
What programming languages does INEEJI use?
Python is named in 86% of job postings at INEEJI, followed by Java (29%), JavaScript (29%), Go (14%).
What frameworks and libraries does INEEJI use?
PyTorch is named in 43% of job postings at INEEJI, followed by Scikit-learn (43%), React.js (29%), Django (14%).
PyTorch
3 43%
Scikit-learn
3 43%
React.js
2 29%
Django
1 14%
FastAPI
1 14%
Next.js
1 14%
Vue.js
1 14%
Apache ECharts
1 14%
Show all (10)
What databases does INEEJI use?
MySQL is named in 71% of job postings at INEEJI, followed by MS SQL (29%).
What cloud and platforms does INEEJI use?
GCP is named in 43% of job postings at INEEJI, followed by AWS (29%), Kubernetes (14%), Figma (14%).
What developer tools does INEEJI use?
Docker is named in 43% of job postings at INEEJI, followed by gRPC (14%), Git (14%), Rest API (14%).
Which engineering practices does INEEJI ask for?
CI/CD is named in 43% of job postings at INEEJI, followed by ETL/ELT (14%), Gitflow (14%).
What does each INEEJI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Analytics
3 postingsHow does your stack fit INEEJI?
How is the INEEJI 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 INEEJI stack?
INEEJI scores 78 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: 0; legacy ones: 0.
Companies with a stack like INEEJI
Questions about the INEEJI tech stack
What programming languages does INEEJI use?
The languages named in INEEJI job postings are Python (86%), Java (29%), JavaScript (29%), Go (14%), Node JS (14%), as a share of the 7 postings of the last 12 months.
Does INEEJI use PyTorch?
Yes. PyTorch is named in 3 of 7 job postings (43%) and required in 3 of them.
What cloud and platforms does INEEJI use?
The cloud and platforms named in INEEJI job postings are GCP (3), AWS (2), Kubernetes (1) (postings in brackets).
What skills do you need for a Analytics job at INEEJI?
Analytics postings at INEEJI most often require MySQL (3), PyTorch (3), Python (3), Scikit-learn (3), out of 3 postings in the last 12 months.
Is the INEEJI tech stack changing?
Yes. React.js, JavaScript first appeared in INEEJI job postings in the last six months.
How modern is the INEEJI tech stack?
INEEJI scores 78 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: 0; legacy ones: 0.
How does Alion know the INEEJI tech stack?
Alion reads every job posting INEEJI 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 Sep 27, 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, "INEEJI tech stack: 31 technologies from 7 job postings", as of Sep 27, 2026. https://alion.io/company/ineeji/technologies