Gigaton tech stack

Gigaton builds mostly with Python. Its stack also includes AWS, GCP, PyTorch, Scikit-learn. Python is named in 2 of the 4 job postings Gigaton published in the last 12 months (50%). Counted by Alion from the job postings of Gigaton, updated Sep 28, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 28, 2026
Technologies in use
12
Postings analysed
4
Open now
4
Modernity
69 /100
New in 6 months
5

What programming languages does Gigaton use?

Python is named in 50% of job postings at Gigaton.

Python 2 50% required in 50% · 2 open now · since Jul 2026

What frameworks and libraries does Gigaton use?

PyTorch is named in 25% of job postings at Gigaton, followed by Scikit-learn (25%).

PyTorch 1 25% required in 100% · 1 open now · since Sep 2026
Scikit-learn 1 25% required in 100% · 1 open now · since Sep 2026

What cloud and platforms does Gigaton use?

AWS is named in 50% of job postings at Gigaton, followed by GCP (50%), Azure (50%).

AWS 2 50% required in 100% · 2 open now · since Jul 2026
GCP 2 50% required in 100% · 2 open now · since Jul 2026
Azure 2 50% required in 50% · 2 open now · since Jul 2026

What developer tools does Gigaton use?

Terraform is named in 25% of job postings at Gigaton.

Terraform 1 25% optional · 1 open now · since Jul 2026

Which engineering practices does Gigaton ask for?

Machine Learning is named in 75% of job postings at Gigaton, followed by CI/CD (50%), Anomaly Detection (25%), Reinforcement Learning (25%).

Machine Learning 3 75% required in 100% · 3 open now · since Mar 2026
CI/CD 2 50% required in 50% · 2 open now · since Jul 2026
Anomaly Detection 1 25% required in 100% · 1 open now · since Mar 2026
Reinforcement Learning 1 25% required in 100% · 1 open now · since Sep 2026
Time Series Forecasting 1 25% required in 100% · 1 open now · since Sep 2026

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How is the Gigaton 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.

First appeared
AWSJul 2026
GCPJul 2026
AzureJul 2026
CI/CDJul 2026
PythonJul 2026

How modern is the Gigaton stack?

Modern 69/100

Gigaton scores 69 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How common is the Gigaton stack in its industry?

Share of the 181 companies in the same industries, whose stack Alion knows, that use each technology.

AWS47%
Azure32%
GCP27%
Python61%
PyTorch27%
Scikit-learn10%

Questions about the Gigaton tech stack

What programming languages does Gigaton use?

The languages named in Gigaton job postings are Python (50%), as a share of the 4 postings of the last 12 months.

Does Gigaton use AWS?

Yes. AWS is named in 2 of 4 job postings (50%) and required in 2 of them.

What cloud and platforms does Gigaton use?

The cloud and platforms named in Gigaton job postings are AWS (2), GCP (2), Azure (2) (postings in brackets).

Is the Gigaton tech stack changing?

Yes. AWS, GCP, Azure, CI/CD first appeared in Gigaton job postings in the last six months.

How modern is the Gigaton tech stack?

Gigaton scores 69 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How does Alion know the Gigaton tech stack?

Alion reads every job posting Gigaton publishes and tags the technologies each one names. The figures on this page count the 4 postings of the last 12 months and were updated on Sep 28, 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, "Gigaton tech stack: 12 technologies from 4 job postings", as of Sep 28, 2026. https://alion.io/company/gigaton/technologies

Licence: CC BY-SA 4.0JSON