Toboggan Labs tech stack
Toboggan Labs builds mostly with Python, TypeScript, SQL, JavaScript. Its stack also includes AWS, MLFlow, React.js, Pinecone. Python is named in 7 of the 9 job postings Toboggan Labs published in the last 12 months (78%). Counted by Alion from the job postings of Toboggan Labs, updated Sep 26, 2026.
What programming languages does Toboggan Labs use?
Python is named in 78% of job postings at Toboggan Labs, followed by TypeScript (33%), SQL (22%), JavaScript (22%).
What frameworks and libraries does Toboggan Labs use?
React.js is named in 22% of job postings at Toboggan Labs, followed by FAISS (11%), LangChain (11%), LlamaIndex (11%).
What databases does Toboggan Labs use?
Pinecone is named in 11% of job postings at Toboggan Labs, followed by PostgreSQL (11%), Weaviate (11%).
What cloud and platforms does Toboggan Labs use?
AWS is named in 33% of job postings at Toboggan Labs, followed by MLFlow (22%), Figma (11%), OpenAI (11%).
What developer tools does Toboggan Labs use?
Git is named in 33% of job postings at Toboggan Labs, followed by dbt (22%), Aider (11%), Claude Code (11%).
What AI and ML technologies does Toboggan Labs use?
LLM is named in 22% of job postings at Toboggan Labs.
Which engineering practices does Toboggan Labs ask for?
Machine Learning is named in 44% of job postings at Toboggan Labs, followed by CI/CD (33%), AI Agents (11%), Agentic Workflows (11%).
Show all (17)
What does each Toboggan Labs team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
3 postingsHow does your stack fit Toboggan Labs?
How modern is the Toboggan Labs stack?
Toboggan Labs scores 78 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 Toboggan Labs stack in its industry?
Share of the 645 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Toboggan Labs
Questions about the Toboggan Labs tech stack
What programming languages does Toboggan Labs use?
The languages named in Toboggan Labs job postings are Python (78%), TypeScript (33%), SQL (22%), JavaScript (22%), as a share of the 9 postings of the last 12 months.
Does Toboggan Labs use React.js?
Yes. React.js is named in 2 of 9 job postings (22%) and required in 2 of them.
What cloud and platforms does Toboggan Labs use?
The cloud and platforms named in Toboggan Labs job postings are AWS (3), MLFlow (2), Figma (1) (postings in brackets).
What skills do you need for a AI/ML job at Toboggan Labs?
AI/ML postings at Toboggan Labs most often require Python (3), AWS (2), LLM (2), MLFlow (2), out of 3 postings in the last 12 months.
Is the Toboggan Labs tech stack changing?
No new technology has appeared in Toboggan Labs job postings in the last six months.
How modern is the Toboggan Labs tech stack?
Toboggan Labs scores 78 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 Toboggan Labs tech stack?
Alion reads every job posting Toboggan Labs publishes and tags the technologies each one names. The figures on this page count the 9 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, "Toboggan Labs tech stack: 40 technologies from 9 job postings", as of Sep 26, 2026. https://alion.io/company/tobogganlabs/technologies
