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.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 29, 2026
Technologies in use
43
Postings analysed
22
Open now
22
Modernity
80 /100

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%).

JavaScript 5 23% required in 60% · 5 open now · since Aug 2026
Python 2 9% required in 100% · 2 open now · since Aug 2026
Go 2 9% optional · 2 open now · since Aug 2026
Node JS 2 9% optional · 2 open now · since Aug 2026
PHP 2 9% optional · 2 open now · since Aug 2026
Ruby 2 9% optional · 2 open now · since Aug 2026
TypeScript 2 9% optional · 2 open now · since Aug 2026
SPSS 1 5% required in 100% · 1 open now · since Aug 2026
Show all (9)
Stata1

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%).

React.js 3 14% required in 33% · 3 open now · since Aug 2026
Ruby on Rails 2 9% optional · 2 open now · since Aug 2026
Flask 1 5% required in 100% · 1 open now · since Aug 2026
Ray 1 5% required in 100% · 1 open now · since Aug 2026
SQLAlchemy 1 5% required in 100% · 1 open now · since Aug 2026
Vue.js 1 5% required in 100% · 1 open now · since Sep 2026

What databases does National University of Singapore use?

SAP HANA is named in 5% of job postings at National University of Singapore.

SAP HANA 1 5% required in 100% · 1 open now · since Jul 2026

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%).

Power BI 5 23% required in 100% · 5 open now · since Aug 2026
AWS 1 5% required in 100% · 1 open now · since Sep 2026
Figma 1 5% required in 100% · 1 open now · since Sep 2026
GCP 1 5% required in 100% · 1 open now · since Sep 2026
Linux 1 5% required in 100% · 1 open now · since Aug 2026
Webflow 1 5% optional · 1 open now · since Sep 2026

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%).

Adobe Photoshop 4 18% required in 100% · 4 open now · since Aug 2026
Microsoft Excel 3 14% required in 100% · 3 open now · since Aug 2026
Canva 2 9% required in 100% · 2 open now · since Aug 2026
Adobe After Effects 2 9% required in 50% · 2 open now · since Aug 2026
WordPress 2 9% required in 50% · 2 open now · since Aug 2026
Adobe Premiere Pro 1 5% required in 100% · 1 open now · since Aug 2026
DaVinci Resolve 1 5% required in 100% · 1 open now · since Aug 2026
Docker 1 5% required in 100% · 1 open now · since Aug 2026

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%).

LLM 2 9% required in 100% · 2 open now · since Aug 2026
ChatGPT 1 5% required in 100% · 1 open now · since Aug 2026

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%).

AI Agents 2 9% required in 100% · 2 open now · since Aug 2026
Agentic Workflows 1 5% required in 100% · 1 open now · since Sep 2026
Anomaly Detection 1 5% required in 100% · 1 open now · since Aug 2026
Human-in-the-Loop 1 5% required in 100% · 1 open now · since Sep 2026
LLM Guardrails 1 5% required in 100% · 1 open now · since Sep 2026
LLMOps 1 5% required in 100% · 1 open now · since Sep 2026
Multimodal AI 1 5% required in 100% · 1 open now · since Sep 2026
Prompt Engineering 1 5% required in 100% · 1 open now · since Sep 2026
Show all (11)
RAG1
SLI/SLO/SLA1
Tool Use1

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 postings
Power BI3
Microsoft Excel2

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How modern is the National University of Singapore stack?

Cutting-edge AI adopter 80/100

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.

JavaScript33%
Power BI21%
React.js15%
Go4%
LLM18%
Node JS12%
PHP25%
Python45%
Ruby4%
Ruby on Rails2%

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

Licence: CC BY-SA 4.0JSON