Applied Retention tech stack
Applied Retention builds mostly with Python, SQL, TypeScript. Its stack also includes PostgreSQL, Django, AWS, Apache Kafka. Python is named in 4 of the 4 job postings Applied Retention published in the last 12 months (100%). Counted by Alion from the job postings of Applied Retention, updated Oct 21, 2026.
What programming languages does Applied Retention use?
Python is named in 100% of job postings at Applied Retention, followed by SQL (100%), TypeScript (25%).
What frameworks and libraries does Applied Retention use?
Django is named in 75% of job postings at Applied Retention, followed by Asyncio (25%), DeepEval (25%), HTTPX (25%).
What databases does Applied Retention use?
PostgreSQL is named in 100% of job postings at Applied Retention.
PostgreSQL
4 100%
What cloud and platforms does Applied Retention use?
AWS is named in 50% of job postings at Applied Retention, followed by Apache Kafka (50%), Anthropic (25%), Azure (25%).
AWS
2 50%
Apache Kafka
2 50%
Azure
1 25%
GCP
1 25%
GitHub Actions
1 25%
LangSmith
1 25%
Langfuse
1 25%
Show all (9)
What developer tools does Applied Retention use?
Braintrust is named in 25% of job postings at Applied Retention, followed by Docker (25%), Promptfoo (25%), dbt (25%).
What AI and ML technologies does Applied Retention use?
LLM is named in 25% of job postings at Applied Retention.
LLM
1 25%
Which engineering practices does Applied Retention ask for?
CI/CD is named in 25% of job postings at Applied Retention, followed by ETL/ELT (25%), Function Calling (25%), RAG (25%).
CI/CD
1 25%
Function Calling
1 25%
RAG
1 25%
How does your stack fit Applied Retention?
How modern is the Applied Retention stack?
Applied Retention scores 77 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: 1; legacy ones: 0.
How common is the Applied Retention stack in its industry?
Share of the 5,493 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Applied Retention
LatentBridge
31 shared technologies
C3 AI
26 shared technologies
Temasek
28 shared technologies
Nexaminds
28 shared technologies
Coffeebeans Consulting
28 shared technologies
CG-VAK Software & Exports
28 shared technologies
Mobile Programming
28 shared technologies
NetConnectGlobal
29 shared technologies
Questions about the Applied Retention tech stack
What programming languages does Applied Retention use?
The languages named in Applied Retention job postings are Python (100%), SQL (100%), TypeScript (25%), as a share of the 4 postings of the last 12 months.
Does Applied Retention use Django?
Yes. Django is named in 3 of 4 job postings (75%) and required in 1 of them.
What cloud and platforms does Applied Retention use?
The cloud and platforms named in Applied Retention job postings are AWS (2), Apache Kafka (2), Anthropic (1) (postings in brackets).
Is the Applied Retention tech stack changing?
No new technology has appeared in Applied Retention job postings in the last six months.
How modern is the Applied Retention tech stack?
Applied Retention scores 77 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: 1; legacy ones: 0.
How does Alion know the Applied Retention tech stack?
Alion reads every job posting Applied Retention publishes and tags the technologies each one names. The figures on this page count the 4 postings of the last 12 months and were updated on Oct 21, 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, "Applied Retention tech stack: 34 technologies from 4 job postings", as of Oct 21, 2026. https://alion.io/company/applied-retention/technologies