University of Maryland tech stack
University of Maryland builds mostly with Python, SQL, JavaScript, Apex. Its stack also includes Linux, Windows, PyTorch, TensorFlow. Python is named in 33 of the 93 job postings University of Maryland published in the last 12 months (35%). Counted by Alion from the job postings of University of Maryland, updated Nov 12, 2026.
What programming languages does University of Maryland use?
Python is named in 35% of job postings at University of Maryland, followed by SQL (13%), JavaScript (9%), Apex (5%).
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What frameworks and libraries does University of Maryland use?
PyTorch is named in 12% of job postings at University of Maryland, followed by TensorFlow (8%), FastAPI (5%), Lightning Web Components (5%).
PyTorch
11 12%
TensorFlow
7 8%
FastAPI
5 5%
Scikit-learn
4 4%
Flask
3 3%
TensorFlow C++
3 3%
Hadoop
2 2%
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And 1 more, each named in fewer postings.
What databases does University of Maryland use?
PostgreSQL is named in 4% of job postings at University of Maryland, followed by Oracle (4%), Cassandra (2%), ElasticSearch (1%).
PostgreSQL
4 4%
Oracle
4 4%
Cassandra
2 2%
ElasticSearch
1 1%
MySQL
1 1%
Neo4j
1 1%
Qdrant
1 1%
Amazon Redshift
1 1%
What cloud and platforms does University of Maryland use?
Linux is named in 16% of job postings at University of Maryland, followed by Windows (12%), Azure (11%), AWS (9%).
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What developer tools does University of Maryland use?
Docker is named in 10% of job postings at University of Maryland, followed by Rest API (10%), Git (9%), Canva (8%).
Docker
9 10%
Rest API
9 10%
Git
8 9%
Canva
7 8%
Ansible
6 6%
CloudFormation
3 3%
Nagios
3 3%
Adobe Photoshop
3 3%
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What AI and ML technologies does University of Maryland use?
LLM is named in 3% of job postings at University of Maryland, followed by Gaussian Splatting (1%).
LLM
3 3%
Gaussian Splatting
1 1%
Which engineering practices does University of Maryland ask for?
Machine Learning is named in 37% of job postings at University of Maryland, followed by CI/CD (13%), ETL/ELT (11%), Computer Vision (6%).
CI/CD
12 13%
Computer Vision
6 6%
Multimodal AI
4 4%
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And 8 more, each named in fewer postings.
What does each University of Maryland team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
16 postingsAI/ML
7 postingsNetworking
5 postingsEnterprise Apps
5 postingsHow does your stack fit University of Maryland?
How much does University of Maryland pay by technology?
Median stated pay of the postings that name each technology, against the median of all University of Maryland postings with stated pay: $110k across 77 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 28 | $135k | +23% |
| Linux | 12 | $148k | +35% |
| Azure | 10 | $140k | +27% |
| SQL | 10 | $139k | +27% |
| Windows | 10 | $139k | +26% |
| PyTorch | 9 | $127k | +15% |
| JavaScript | 8 | $128k | +16% |
| TensorFlow | 7 | $127k | +15% |
| GitHub | 7 | $125k | +14% |
| AWS | 6 | $177k | +61% |
How is the University of Maryland 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 Maryland stack?
University of Maryland scores 75 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 University of Maryland stack in its industry?
Share of the 1,395 companies in the same industries, whose stack Alion knows, that use each technology.
What sets University of Maryland apart
Companies with a stack like University of Maryland
The University of Texas at Austin
132 shared technologies
Vantor
126 shared technologies
Ericsson
157 shared technologies
TransUnion
135 shared technologies
Thermo Fisher Scientific
149 shared technologies
The Cigna Group
139 shared technologies
Genpact
154 shared technologies
Accenture Federal Services
161 shared technologies
Questions about the University of Maryland tech stack
What programming languages does University of Maryland use?
The languages named in University of Maryland job postings are Python (35%), SQL (13%), JavaScript (9%), Apex (5%), C++ (5%), as a share of the 93 postings of the last 12 months.
Does University of Maryland use PyTorch?
Yes. PyTorch is named in 11 of 93 job postings (12%) and required in 10 of them.
What cloud and platforms does University of Maryland use?
The cloud and platforms named in University of Maryland job postings are Linux (15), Windows (11), Azure (10) (postings in brackets).
What skills do you need for a Data Science job at University of Maryland?
Data Science postings at University of Maryland most often require Python (11), Linux (5), Git (4), PyTorch (4), out of 16 postings in the last 12 months.
Is the University of Maryland tech stack changing?
Yes. Informatica, CRISPR, Immunohistochemistry, SPSS first appeared in University of Maryland job postings in the last six months.
How modern is the University of Maryland tech stack?
University of Maryland scores 75 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 University of Maryland tech stack?
Alion reads every job posting University of Maryland publishes and tags the technologies each one names. The figures on this page count the 93 postings of the last 12 months and were updated on Nov 12, 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 Maryland tech stack: 194 technologies from 93 job postings", as of Nov 12, 2026. https://alion.io/company/umd/technologies