Afresh tech stack
Afresh builds mostly with Python, SQL, LookML, TypeScript. Its stack also includes Databricks, Snowflake, Spark, BigQuery. Python is named in 8 of the 19 job postings Afresh published in the last 12 months (42%). Counted by Alion from the job postings of Afresh, updated Oct 10, 2026.
What programming languages does Afresh use?
Python is named in 42% of job postings at Afresh, followed by SQL (37%), LookML (5%), TypeScript (5%).
What frameworks and libraries does Afresh use?
LangChain is named in 21% of job postings at Afresh, followed by LangGraph (21%), NumPy (21%), pgvector (21%).
What databases does Afresh use?
Snowflake is named in 32% of job postings at Afresh, followed by BigQuery (21%), Google BigQuery (21%), PostgreSQL (21%).
What cloud and platforms does Afresh use?
Databricks is named in 42% of job postings at Afresh, followed by Spark (21%), MLFlow (11%), GitHub (11%).
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What developer tools does Afresh use?
dbt is named in 26% of job postings at Afresh, followed by pySpark (21%), Model Context Protocol (21%).
What AI and ML technologies does Afresh use?
LLM is named in 26% of job postings at Afresh, followed by Claude (16%), Midjourney (5%).
Which engineering practices does Afresh ask for?
AI Agents is named in 42% of job postings at Afresh, followed by Machine Learning (37%), Tool Use (26%), Agentic Workflows (26%).
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What does each Afresh team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Solutions
4 postingsData Science
3 postingsHow does your stack fit Afresh?
How much does Afresh pay by technology?
Median stated pay of the postings that name each technology, against the median of all Afresh postings with stated pay: $234k across 17 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Databricks | 7 | $253k | +8% |
| Python | 6 | $253k | +8% |
| SQL | 6 | $235k | 0% |
| LLM | 5 | $253k | +8% |
| Snowflake | 5 | $253k | +8% |
How modern is the Afresh stack?
Afresh scores 86 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: 3; legacy ones: 0.
How common is the Afresh stack in its industry?
Share of the 213 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Afresh apart
Companies with a stack like Afresh
Questions about the Afresh tech stack
What programming languages does Afresh use?
The languages named in Afresh job postings are Python (42%), SQL (37%), LookML (5%), TypeScript (5%), as a share of the 19 postings of the last 12 months.
Does Afresh use LangChain?
Yes. LangChain is named in 4 of 19 job postings (21%) and required in 2 of them.
What cloud and platforms does Afresh use?
The cloud and platforms named in Afresh job postings are Databricks (8), Spark (4), MLFlow (2) (postings in brackets).
What skills do you need for a Solutions job at Afresh?
Solutions postings at Afresh most often require BigQuery (3), Databricks (3), Google BigQuery (3), LLM (3), out of 4 postings in the last 12 months.
Is the Afresh tech stack changing?
No new technology has appeared in Afresh job postings in the last six months.
How modern is the Afresh tech stack?
Afresh scores 86 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: 3; legacy ones: 0.
How does Alion know the Afresh tech stack?
Alion reads every job posting Afresh publishes and tags the technologies each one names. The figures on this page count the 19 postings of the last 12 months and were updated on Oct 10, 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, "Afresh tech stack: 43 technologies from 19 job postings", as of Oct 10, 2026. https://alion.io/company/afresh/technologies
