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.
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%).
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%).
Show all (11)
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%).
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%).
Show all (17)
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%).
Show all (17)
What AI and ML technologies does University of Toronto use?
LLM is named in 3% of job postings at University of Toronto.
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%).
Show all (12)
How does your stack fit University of Toronto?
How modern is the University of Toronto 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 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.
Companies with a stack like University of Toronto
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
