National University of Singapore tech stack
National University of Singapore builds mostly with JavaScript, Python, Go, Node JS. Its stack also includes Power BI, React.js, Ruby on Rails, AWS. JavaScript is named in 5 of the 22 job postings National University of Singapore published in the last 12 months (23%). Counted by Alion from the job postings of National University of Singapore, updated Sep 29, 2026.
What programming languages does National University of Singapore use?
JavaScript is named in 23% of job postings at National University of Singapore, followed by Python (9%), Go (9%), Node JS (9%).
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What frameworks and libraries does National University of Singapore use?
React.js is named in 14% of job postings at National University of Singapore, followed by Ruby on Rails (9%), Flask (5%), Ray (5%).
What databases does National University of Singapore use?
SAP HANA is named in 5% of job postings at National University of Singapore.
What cloud and platforms does National University of Singapore use?
Power BI is named in 23% of job postings at National University of Singapore, followed by AWS (5%), Figma (5%), GCP (5%).
What developer tools does National University of Singapore use?
Adobe Photoshop is named in 18% of job postings at National University of Singapore, followed by Microsoft Excel (14%), Canva (9%), Adobe After Effects (9%).
What AI and ML technologies does National University of Singapore use?
LLM is named in 9% of job postings at National University of Singapore, followed by ChatGPT (5%).
Which engineering practices does National University of Singapore ask for?
AI Agents is named in 9% of job postings at National University of Singapore, followed by Agentic Workflows (5%), Anomaly Detection (5%), Human-in-the-Loop (5%).
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What does each National University of Singapore team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Finance
4 postingsHow does your stack fit National University of Singapore?
How modern is the National University of Singapore stack?
National University of Singapore 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: 2; legacy ones: 0.
How common is the National University of Singapore stack in its industry?
Share of the 442 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like National University of Singapore
Questions about the National University of Singapore tech stack
What programming languages does National University of Singapore use?
The languages named in National University of Singapore job postings are JavaScript (23%), Python (9%), Go (9%), Node JS (9%), PHP (9%), as a share of the 22 postings of the last 12 months.
Does National University of Singapore use React.js?
Yes. React.js is named in 3 of 22 job postings (14%) and required in 1 of them.
What cloud and platforms does National University of Singapore use?
The cloud and platforms named in National University of Singapore job postings are Power BI (5), AWS (1), Figma (1) (postings in brackets).
What skills do you need for a Finance job at National University of Singapore?
Finance postings at National University of Singapore most often require Power BI (3), Microsoft Excel (2), out of 4 postings in the last 12 months.
Is the National University of Singapore tech stack changing?
No new technology has appeared in National University of Singapore job postings in the last six months.
How modern is the National University of Singapore tech stack?
National University of Singapore 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: 2; legacy ones: 0.
How does Alion know the National University of Singapore tech stack?
Alion reads every job posting National University of Singapore publishes and tags the technologies each one names. The figures on this page count the 22 postings of the last 12 months and were updated on Sep 29, 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, "National University of Singapore tech stack: 43 technologies from 22 job postings", as of Sep 29, 2026. https://alion.io/company/nus/technologies
