Particle41 tech stack
Particle41 builds mostly with Python, SQL, TypeScript, JavaScript. Its stack also includes AWS, Azure, MySQL, PostgreSQL. AWS is named in 10 of the 16 job postings Particle41 published in the last 12 months (63%). Counted by Alion from the job postings of Particle41, updated Sep 26, 2026.
What programming languages does Particle41 use?
Python is named in 50% of job postings at Particle41, followed by SQL (38%), TypeScript (25%), JavaScript (25%).
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What frameworks and libraries does Particle41 use?
Scikit-learn is named in 31% of job postings at Particle41, followed by Flask (25%), Pytest (25%), React.js (19%).
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What databases does Particle41 use?
MySQL is named in 44% of job postings at Particle41, followed by PostgreSQL (44%), Redis (19%), Pinecone (13%).
What cloud and platforms does Particle41 use?
AWS is named in 63% of job postings at Particle41, followed by Azure (56%), GCP (56%), Databricks (25%).
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What developer tools does Particle41 use?
Git is named in 44% of job postings at Particle41, followed by pySpark (25%), Ansible (13%), GraphQL (13%).
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What AI and ML technologies does Particle41 use?
Claude is named in 13% of job postings at Particle41, followed by LLM (6%).
Which engineering practices does Particle41 ask for?
CI/CD is named in 25% of job postings at Particle41, followed by ETL/ELT (25%), Feature Store (19%), Machine Learning (19%).
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What does each Particle41 team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
4 postingsBackend
3 postingsHow does your stack fit Particle41?
How is the Particle41 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 Particle41 stack?
Particle41 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: 2; legacy ones: 0.
How common is the Particle41 stack in its industry?
Share of the 1,371 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Particle41
Questions about the Particle41 tech stack
What programming languages does Particle41 use?
The languages named in Particle41 job postings are Python (50%), SQL (38%), TypeScript (25%), JavaScript (25%), Node JS (19%), as a share of the 16 postings of the last 12 months.
Does Particle41 use Scikit-learn?
Yes. Scikit-learn is named in 5 of 16 job postings (31%) and required in 5 of them.
What cloud and platforms does Particle41 use?
The cloud and platforms named in Particle41 job postings are AWS (10), Azure (9), GCP (9) (postings in brackets).
What skills do you need for a Data Science job at Particle41?
Data Science postings at Particle41 most often require AWS (4), Azure (4), Databricks (4), Flask (4), out of 4 postings in the last 12 months.
Is the Particle41 tech stack changing?
Yes. Claude, GitHub, Vercel first appeared in Particle41 job postings in the last six months.
How modern is the Particle41 tech stack?
Particle41 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: 2; legacy ones: 0.
How does Alion know the Particle41 tech stack?
Alion reads every job posting Particle41 publishes and tags the technologies each one names. The figures on this page count the 16 postings of the last 12 months and were updated on Sep 26, 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, "Particle41 tech stack: 99 technologies from 16 job postings", as of Sep 26, 2026. https://alion.io/company/particle41-2/technologies
