Harvard University tech stack
Harvard University builds mostly with Python, SQL, JavaScript, MATLAB. Its stack also includes Windows, Linux, Oracle, Cypress. Python is named in 32 of the 107 job postings Harvard University published in the last 12 months (30%). Counted by Alion from the job postings of Harvard University, updated Sep 27, 2026.
What programming languages does Harvard University use?
Python is named in 30% of job postings at Harvard University, followed by SQL (14%), JavaScript (12%), MATLAB (10%).
Stata 
SAS Show all (15)
What frameworks and libraries does Harvard University use?
Cypress is named in 5% of job postings at Harvard University, followed by FastAPI (4%), Django (3%), Playwright (3%).
Cypress
5 5%
FastAPI
4 4%
Django
3 3%
Playwright
3 3%
PyTorch
3 3%
Pytest
3 3%
Ray
3 3%
Selenium
3 3%
Show all (31)
What databases does Harvard University use?
Oracle is named in 6% of job postings at Harvard University, followed by PostgreSQL (4%), MySQL (3%), Pinecone (2%).
Oracle
6 6%
PostgreSQL
4 4%
MySQL
3 3%
Pinecone
2 2%
Weaviate
2 2%
Amazon Redshift
1 1%
Chroma
1 1%
ElasticSearch
1 1%
Show all (11)
What cloud and platforms does Harvard University use?
Windows is named in 12% of job postings at Harvard University, followed by Linux (10%), GitHub (7%), AWS (6%).
GitHub
8 7%
AWS
6 6%
Kubernetes
4 4%
GitHub Actions
3 3%
Show all (38)
What developer tools does Harvard University use?
Microsoft Excel is named in 18% of job postings at Harvard University, followed by Canva (11%), Git (10%), Docker (7%).
Canva
12 11%
Git
11 10%
Docker
7 7%
Rest API
5 5%
Adobe Photoshop
4 4%
WordPress
4 4%
Ansible
4 4%
Show all (35)
What AI and ML technologies does Harvard University use?
ChatGPT is named in 5% of job postings at Harvard University, followed by Claude (4%), LLM (1%), LoRA (1%).
Which engineering practices does Harvard University ask for?
CI/CD is named in 9% of job postings at Harvard University, followed by NLP (8%), Machine Learning (6%), HPC (5%).
Show all (28)
What does each Harvard University team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Science & Research
14 postingsBackend
10 postingsAdministrative
8 postingsDevOps
7 postingsMarketing
7 postingsHow does your stack fit Harvard University?
How is the Harvard University 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 Harvard University stack?
Harvard University scores 82 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: 6; legacy ones: 0.
How common is the Harvard University stack in its industry?
Share of the 442 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Harvard University apart
Companies with a stack like Harvard University
Questions about the Harvard University tech stack
What programming languages does Harvard University use?
The languages named in Harvard University job postings are Python (30%), SQL (14%), JavaScript (12%), MATLAB (10%), Stata (10%), as a share of the 107 postings of the last 12 months.
Does Harvard University use Cypress?
Yes. Cypress is named in 5 of 107 job postings (5%) and required in 5 of them.
What cloud and platforms does Harvard University use?
The cloud and platforms named in Harvard University job postings are Windows (13), Linux (11), GitHub (8) (postings in brackets).
What skills do you need for a Science & Research job at Harvard University?
Science & Research postings at Harvard University most often require MATLAB (7), Stata (7), Python (6), Linux (3), out of 14 postings in the last 12 months.
Is the Harvard University tech stack changing?
Yes. Figma, A/B Testing, Svelte, TypeScript first appeared in Harvard University job postings in the last six months.
How modern is the Harvard University tech stack?
Harvard University scores 82 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: 6; legacy ones: 0.
How does Alion know the Harvard University tech stack?
Alion reads every job posting Harvard University publishes and tags the technologies each one names. The figures on this page count the 107 postings of the last 12 months and were updated on Sep 27, 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, "Harvard University tech stack: 164 technologies from 107 job postings", as of Sep 27, 2026. https://alion.io/company/harvard-university/technologies