University of Toronto
Research Institutes

University of Toronto tech stack

University of Toronto builds mostly with Python, PHP, SQL, C. Its stack also includes Azure, Windows, MySQL, PostgreSQL. Python is named in 5 of the 35 job postings University of Toronto published in the last 12 months (14%). Counted by Alion from the job postings of University of Toronto, updated Nov 5, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 5, 2026
Technologies in use
70
Postings analysed
35
Open now
35
Modernity
71 /100

What programming languages does University of Toronto use?

Python is named in 14% of job postings at University of Toronto, followed by PHP (9%), SQL (6%), C (6%).

Python 5 14% required in 80% · 5 open now · since Oct 2026
PHP 3 9% optional · 3 open now · since Oct 2026
SQL 2 6% required in 100% · 2 open now · since Oct 2026
C 2 6% optional · 2 open now · since Oct 2026
JavaScript 2 6% optional · 2 open now · since Oct 2026
ABAP 1 3% required in 100% · 1 open now · since Oct 2026
Bash 1 3% required in 100% · 1 open now · since Oct 2026

What frameworks and libraries does University of Toronto use?

SDL is named in 6% of job postings at University of Toronto, followed by Material UI (3%), OpenLayers (3%), Django (3%).

SDL 2 6% required in 100% · 2 open now · since Oct 2026
Material UI 1 3% required in 100% · 1 open now · since Oct 2026
OpenLayers 1 3% required in 100% · 1 open now · since Nov 2026
Django 1 3% optional · 1 open now · since Nov 2026
FastAPI 1 3% optional · 1 open now · since Nov 2026
Flask 1 3% optional · 1 open now · since Nov 2026
PyTorch 1 3% optional · 1 open now · since Nov 2026
React.js 1 3% optional · 1 open now · since Oct 2026
Show all (11)
SGLang1
TensorFlow1
Transformers1

What databases does University of Toronto use?

MySQL is named in 6% of job postings at University of Toronto, followed by PostgreSQL (6%), Db2 (3%), MS SQL (3%).

MySQL 2 6% required in 100% · 2 open now · since Oct 2026
PostgreSQL 2 6% required in 100% · 2 open now · since Oct 2026
Db2 1 3% required in 100% · 1 open now · since Oct 2026
MS SQL 1 3% required in 100% · 1 open now · since Oct 2026
SAP HANA 1 3% required in 100% · 1 open now · since Oct 2026

What cloud and platforms does University of Toronto use?

Azure is named in 11% of job postings at University of Toronto, followed by Windows (9%), Active Directory (6%), Microsoft Entra ID (6%).

Azure 4 11% required in 75% · 4 open now · since Oct 2026
Windows 3 9% required in 100% · 3 open now · since Oct 2026
Active Directory 2 6% required in 100% · 2 open now · since Oct 2026
Microsoft Entra ID 2 6% required in 100% · 2 open now · since Oct 2026
Power BI 2 6% required in 100% · 2 open now · since Oct 2026
Kubernetes 2 6% required in 50% · 2 open now · since Oct 2026
GitHub Actions 1 3% required in 100% · 1 open now · since Oct 2026
GitLab CI 1 3% required in 100% · 1 open now · since Oct 2026
Show all (17)
Linux1
Red Hat1
SAP Fiori1
Tableau1
Ubuntu1
Windows Server1
AWS1
GCP1
TGI1

What developer tools does University of Toronto use?

Microsoft Excel is named in 11% of job postings at University of Toronto, followed by Canva (9%), Adobe Photoshop (6%), Drupal (6%).

Microsoft Excel 4 11% required in 100% · 4 open now · since Oct 2026
Canva 3 9% required in 100% · 3 open now · since Oct 2026
Adobe Photoshop 2 6% required in 100% · 2 open now · since Oct 2026
Drupal 2 6% required in 100% · 2 open now · since Oct 2026
Git 2 6% required in 100% · 2 open now · since Oct 2026
WordPress 2 6% required in 100% · 2 open now · since Oct 2026
Apache HTTP Server 1 3% required in 100% · 1 open now · since Oct 2026
Chef 1 3% required in 100% · 1 open now · since Oct 2026
Show all (17)
Docker1
HAProxy1
Jenkins1
KVM1
Matter1
Nginx1
OpenStack1
Puppet1
Terraform1

What AI and ML technologies does University of Toronto use?

LLM is named in 3% of job postings at University of Toronto.

LLM 1 3% required in 100% · 1 open now · since Oct 2026

Which engineering practices does University of Toronto ask for?

Machine Learning is named in 31% of job postings at University of Toronto, followed by Cell Culture (6%), DNS (6%), Time Series (6%).

Machine Learning 11 31% required in 91% · 11 open now · since Oct 2026
Cell Culture 2 6% required in 100% · 2 open now · since Oct 2026
DNS 2 6% required in 100% · 2 open now · since Oct 2026
Time Series 2 6% required in 100% · 2 open now · since Oct 2026
CI/CD 1 3% required in 100% · 1 open now · since Oct 2026
Configuration Management 1 3% required in 100% · 1 open now · since Oct 2026
Incident Management 1 3% required in 100% · 1 open now · since Oct 2026
Mass Spectrometry 1 3% required in 100% · 1 open now · since Oct 2026
Show all (12)
Reinforcement Learning1
SLI/SLO/SLA1
TCP/IP1
Western Blot1

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How modern is the University of Toronto stack?

Modern AI adopter 71/100

University of Toronto scores 71 out of 100 (Modern). 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 University of Toronto stack in its industry?

Share of the 1,871 companies in the same industries, whose stack Alion knows, that use each technology.

Python43%
Azure19%
PHP17%
Windows28%
Active Directory12%
C3%
JavaScript23%
Kubernetes13%
Microsoft Entra ID6%
MySQL8%

Questions about the University of Toronto tech stack

What programming languages does University of Toronto use?

The languages named in University of Toronto job postings are Python (14%), PHP (9%), SQL (6%), C (6%), JavaScript (6%), as a share of the 35 postings of the last 12 months.

Does University of Toronto use SDL?

Yes. SDL is named in 2 of 35 job postings (6%) and required in 2 of them.

What cloud and platforms does University of Toronto use?

The cloud and platforms named in University of Toronto job postings are Azure (4), Windows (3), Active Directory (2) (postings in brackets).

Is the University of Toronto tech stack changing?

No new technology has appeared in University of Toronto job postings in the last six months.

How modern is the University of Toronto tech stack?

University of Toronto scores 71 out of 100 (Modern). 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 University of Toronto tech stack?

Alion reads every job posting University of Toronto publishes and tags the technologies each one names. The figures on this page count the 35 postings of the last 12 months and were updated on Nov 5, 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, "University of Toronto tech stack: 70 technologies from 35 job postings", as of Nov 5, 2026. https://alion.io/company/utoronto/technologies

Licence: CC BY-SA 4.0JSON