University of Pennsylvania tech stack
University of Pennsylvania builds mostly with Python, SAS, SQL, PHP. Its stack also includes GCP, Windows, Supervision, Keystone Engine. GCP is named in 18 of the 57 job postings University of Pennsylvania published in the last 12 months (32%). Counted by Alion from the job postings of University of Pennsylvania, updated Sep 26, 2026.
What programming languages does University of Pennsylvania use?
Python is named in 14% of job postings at University of Pennsylvania, followed by SAS (9%), SQL (7%), PHP (7%).
SAS 
Stata 
What frameworks and libraries does University of Pennsylvania use?
Supervision is named in 7% of job postings at University of Pennsylvania, followed by Keystone Engine (4%), Django (2%), Intel Embree (2%).
What databases does University of Pennsylvania use?
MS SQL is named in 2% of job postings at University of Pennsylvania, followed by Snowflake (2%).
What cloud and platforms does University of Pennsylvania use?
GCP is named in 32% of job postings at University of Pennsylvania, followed by Windows (14%), Linux (9%), AWS (4%).
GCP
18 32%
AWS
2 4%
Azure
2 4%
Power BI
2 4%
Show all (13)
What developer tools does University of Pennsylvania use?
Model Context Protocol is named in 4% of job postings at University of Pennsylvania, followed by WordPress (4%), Ansible (2%), Canva (2%).
WordPress
2 4%
Ansible
1 2%
Canva
1 2%
Claude Code
1 2%
Git
1 2%
Show all (11)
Which engineering practices does University of Pennsylvania ask for?
Machine Learning is named in 7% of job postings at University of Pennsylvania, followed by OCR (4%), AI Agents (4%), HPC (4%).
Show all (11)
What does each University of Pennsylvania team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Analytics
6 postingsDevOps
3 postingsHow does your stack fit University of Pennsylvania?
How is the University of Pennsylvania 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 University of Pennsylvania stack?
University of Pennsylvania scores 62 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: 0; legacy ones: 0.
How common is the University of Pennsylvania stack in its industry?
Share of the 910 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like University of Pennsylvania
ProSidian Consulting
43 shared technologies
Novartis
41 shared technologies
University of Washington Department of Athletics
45 shared technologies
Allegion
41 shared technologies
Gilead Sciences
43 shared technologies
Reckitt
41 shared technologies
TP ICAP Group
41 shared technologies
Millennium Management
42 shared technologies
Questions about the University of Pennsylvania tech stack
What programming languages does University of Pennsylvania use?
The languages named in University of Pennsylvania job postings are Python (14%), SAS (9%), SQL (7%), PHP (7%), Stata (4%), as a share of the 57 postings of the last 12 months.
Does University of Pennsylvania use Supervision?
Yes. Supervision is named in 4 of 57 job postings (7%) and required in 4 of them.
What cloud and platforms does University of Pennsylvania use?
The cloud and platforms named in University of Pennsylvania job postings are GCP (18), Windows (8), Linux (5) (postings in brackets).
What skills do you need for a Analytics job at University of Pennsylvania?
Analytics postings at University of Pennsylvania most often require Python (4), SQL (3), SAS (2), out of 6 postings in the last 12 months.
Is the University of Pennsylvania tech stack changing?
Yes. Power BI, WordPress, SAP BusinessObjects, FreeBSD first appeared in University of Pennsylvania job postings in the last six months.
How modern is the University of Pennsylvania tech stack?
University of Pennsylvania scores 62 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: 0; legacy ones: 0.
How does Alion know the University of Pennsylvania tech stack?
Alion reads every job posting University of Pennsylvania publishes and tags the technologies each one names. The figures on this page count the 57 postings of the last 12 months and were updated on Sep 26, 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 Pennsylvania tech stack: 51 technologies from 57 job postings", as of Sep 26, 2026. https://alion.io/company/upenn/technologies