Merklescience tech stack
Merklescience builds mostly with Python, Go, SQL, JavaScript. Its stack also includes ClickHouse, Databricks, PostgreSQL, Django. Python is named in 7 of the 8 job postings Merklescience published in the last 12 months (88%). Counted by Alion from the job postings of Merklescience, updated Nov 14, 2026.
What programming languages does Merklescience use?
Python is named in 88% of job postings at Merklescience, followed by Go (38%), SQL (25%), JavaScript (13%).
What frameworks and libraries does Merklescience use?
Django is named in 25% of job postings at Merklescience, followed by FastAPI (25%), React.js (13%), Celery (13%).
What databases does Merklescience use?
ClickHouse is named in 63% of job postings at Merklescience, followed by PostgreSQL (25%), Redis (25%).
What cloud and platforms does Merklescience use?
Databricks is named in 38% of job postings at Merklescience, followed by Figma (13%), Apache Kafka (13%), GitHub (13%).
What developer tools does Merklescience use?
Rest API is named in 38% of job postings at Merklescience, followed by Git (25%), Copilot (13%), Cursor (13%).
What AI and ML technologies does Merklescience use?
Claude is named in 13% of job postings at Merklescience.
Claude
1 13%
What other technologies does Merklescience use?
Bitcoin is named in 25% of job postings at Merklescience, followed by Ethereum (25%), Solana (25%).
What does each Merklescience team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
5 postingsHow does your stack fit Merklescience?
How is the Merklescience 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 Merklescience stack?
Merklescience scores 87 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 Merklescience stack in its industry?
Share of the 305 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Merklescience
Questions about the Merklescience tech stack
What programming languages does Merklescience use?
The languages named in Merklescience job postings are Python (88%), Go (38%), SQL (25%), JavaScript (13%), as a share of the 8 postings of the last 12 months.
Does Merklescience use Django?
Yes. Django is named in 2 of 8 job postings (25%) and required in 2 of them.
What cloud and platforms does Merklescience use?
The cloud and platforms named in Merklescience job postings are Databricks (3), Figma (1), Apache Kafka (1) (postings in brackets).
What skills do you need for a Data Science job at Merklescience?
Data Science postings at Merklescience most often require Python (5), ClickHouse (3), Databricks (3), Go (3), out of 5 postings in the last 12 months.
Is the Merklescience tech stack changing?
Yes. Databricks, Go, ClickHouse, Rest API first appeared in Merklescience job postings in the last six months.
How modern is the Merklescience tech stack?
Merklescience scores 87 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 Merklescience tech stack?
Alion reads every job posting Merklescience publishes and tags the technologies each one names. The figures on this page count the 8 postings of the last 12 months and were updated on Nov 14, 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, "Merklescience tech stack: 25 technologies from 8 job postings", as of Nov 14, 2026. https://alion.io/company/merklescience/technologies