Tryolabs tech stack

Tryolabs builds mostly with Python, SQL. Its stack also includes GCP, AWS, Scikit-learn, XGBoost. Python is named in 8 of the 10 job postings Tryolabs published in the last 12 months (80%). Counted by Alion from the job postings of Tryolabs, updated Oct 17, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 17, 2026
Technologies in use
38
Postings analysed
10
Open now
4
Modernity
83 /100

What programming languages does Tryolabs use?

Python is named in 80% of job postings at Tryolabs, followed by SQL (30%).

Python 8 80% required in 100% · 2 open now · since Aug 2026
SQL 3 30% required in 100% · since Aug 2026

What frameworks and libraries does Tryolabs use?

Scikit-learn is named in 40% of job postings at Tryolabs, followed by XGBoost (40%), LangChain (10%), LangGraph (10%).

Scikit-learn 4 40% required in 100% · 2 open now · since Aug 2026
XGBoost 4 40% required in 100% · 2 open now · since Aug 2026
LangChain 1 10% optional · since Sep 2026
LangGraph 1 10% optional · since Sep 2026
OpenTelemetry 1 10% optional · since Sep 2026
Pytest 1 10% optional · since Sep 2026

What databases does Tryolabs use?

Google BigQuery is named in 10% of job postings at Tryolabs, followed by PostgreSQL (10%), Redis (10%).

Google BigQuery 1 10% optional · since Aug 2026
PostgreSQL 1 10% optional · since Sep 2026
Redis 1 10% optional · since Sep 2026

What cloud and platforms does Tryolabs use?

GCP is named in 50% of job postings at Tryolabs, followed by AWS (50%), Azure (40%), Databricks (10%).

GCP 5 50% required in 100% · 2 open now · since Aug 2026
AWS 5 50% required in 80% · 2 open now · since Aug 2026
Azure 4 40% required in 100% · 2 open now · since Aug 2026
Databricks 1 10% required in 100% · 1 open now · since Oct 2026
Kubernetes 1 10% required in 100% · since Aug 2026
Google Cloud Run 1 10% optional · since Aug 2026
Google GKE 1 10% optional · since Aug 2026
Vertex AI 1 10% optional · since Aug 2026

What developer tools does Tryolabs use?

Terraform is named in 40% of job postings at Tryolabs, followed by WebSockets (10%), Docker (10%), Git (10%).

Terraform 4 40% required in 100% · 2 open now · since Aug 2026
WebSockets 1 10% required in 100% · since Sep 2026
Docker 1 10% optional · since Sep 2026
Git 1 10% optional · 1 open now · since Oct 2026
Model Context Protocol 1 10% optional · since Sep 2026

What AI and ML technologies does Tryolabs use?

LLM is named in 30% of job postings at Tryolabs, followed by Gemini (10%).

LLM 3 30% required in 67% · 1 open now · since Aug 2026
Gemini 1 10% required in 100% · since Aug 2026

Which engineering practices does Tryolabs ask for?

CI/CD is named in 60% of job postings at Tryolabs, followed by Machine Learning (50%), AI Agents (20%), Time Series Forecasting (20%).

CI/CD 6 60% required in 83% · 3 open now · since Aug 2026
Machine Learning 5 50% required in 100% · 3 open now · since Aug 2026
AI Agents 2 20% required in 100% · since Aug 2026
Time Series Forecasting 2 20% required in 100% · since Aug 2026
A/B Testing 2 20% optional · since Aug 2026
Embeddings 1 10% required in 100% · since Aug 2026
Function Calling 1 10% required in 100% · since Sep 2026
Gitflow 1 10% required in 100% · 1 open now · since Oct 2026
Show all (12)
RAG1
Tool Use1
Hybrid Search1
LLMOps1

What does each Tryolabs team work with?

The technologies each team's postings require most often, with the number of postings that require them.

AI/ML

5 postings
Python5
AWS4
Azure4
GCP4
Scikit-learn4
Terraform4

Data Science

4 postings
Python2
SQL2

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How modern is the Tryolabs stack?

Cutting-edge AI adopter 83/100

Tryolabs scores 83 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 Tryolabs stack in its industry?

Share of the 1,244 companies in the same industries, whose stack Alion knows, that use each technology.

Python75%
AWS61%
GCP48%
Azure56%
Scikit-learn15%
XGBoost5%
LLM47%
SQL56%
Databricks27%
Gemini12%

Questions about the Tryolabs tech stack

What programming languages does Tryolabs use?

The languages named in Tryolabs job postings are Python (80%), SQL (30%), as a share of the 10 postings of the last 12 months.

Does Tryolabs use Scikit-learn?

Yes. Scikit-learn is named in 4 of 10 job postings (40%) and required in 4 of them.

What cloud and platforms does Tryolabs use?

The cloud and platforms named in Tryolabs job postings are GCP (5), AWS (5), Azure (4) (postings in brackets).

What skills do you need for a AI/ML job at Tryolabs?

AI/ML postings at Tryolabs most often require Python (5), AWS (4), Azure (4), GCP (4), out of 5 postings in the last 12 months.

Is the Tryolabs tech stack changing?

No new technology has appeared in Tryolabs job postings in the last six months.

How modern is the Tryolabs tech stack?

Tryolabs scores 83 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 Tryolabs tech stack?

Alion reads every job posting Tryolabs publishes and tags the technologies each one names. The figures on this page count the 10 postings of the last 12 months and were updated on Oct 17, 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, "Tryolabs tech stack: 38 technologies from 10 job postings", as of Oct 17, 2026. https://alion.io/company/tryolabs/technologies

Licence: CC BY-SA 4.0JSON