Myrtle tech stack
Myrtle builds mostly with Python, 1C, Bash, C++. Its stack also includes Linux, GitHub, OpenCV, PyTorch. Python is named in 8 of the 16 job postings Myrtle published in the last 12 months (50%). Counted by Alion from the job postings of Myrtle, updated Sep 30, 2026.
What programming languages does Myrtle use?
Python is named in 50% of job postings at Myrtle, followed by 1C (25%), Bash (13%), C++ (13%).
1C 
What frameworks and libraries does Myrtle use?
OpenCV is named in 13% of job postings at Myrtle, followed by PyTorch (13%), PyTorch C++ (13%), NumPy (6%).
What cloud and platforms does Myrtle use?
Linux is named in 31% of job postings at Myrtle, followed by GitHub (19%), GitLab (19%), Debian (13%).
What developer tools does Myrtle use?
Git is named in 31% of job postings at Myrtle, followed by Ansible (13%), Docker (13%), SolidWorks (13%).
Git
5 31%
Ansible
2 13%
Docker
2 13%
SolidWorks
2 13%
Altium Designer
1 6%
Ansys HFSS
1 6%
Which engineering practices does Myrtle ask for?
Machine Learning is named in 75% of job postings at Myrtle, followed by CI/CD (13%).
CI/CD
2 13%
What does each Myrtle team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Analytics
3 postingsHow does your stack fit Myrtle?
How modern is the Myrtle stack?
Myrtle scores 73 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 Myrtle stack in its industry?
Share of the 162 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Myrtle apart
Companies with a stack like Myrtle
The Skolkovo Institute of Science and Technology
16 shared technologies
Satel
18 shared technologies
Allen Control Systems
17 shared technologies
Harmattan AI
21 shared technologies
Astroscale
17 shared technologies
Goznak
17 shared technologies
AFRY
20 shared technologies
Autonomous Technologies
16 shared technologies
Questions about the Myrtle tech stack
What programming languages does Myrtle use?
The languages named in Myrtle job postings are Python (50%), 1C (25%), Bash (13%), C++ (13%), MATLAB (6%), as a share of the 16 postings of the last 12 months.
Does Myrtle use OpenCV?
Yes. OpenCV is named in 2 of 16 job postings (13%) and required in 2 of them.
What cloud and platforms does Myrtle use?
The cloud and platforms named in Myrtle job postings are Linux (5), GitHub (3), GitLab (3) (postings in brackets).
What skills do you need for a Analytics job at Myrtle?
Analytics postings at Myrtle most often require Git (3), GitHub (3), GitLab (3), Python (3), out of 3 postings in the last 12 months.
Is the Myrtle tech stack changing?
No new technology has appeared in Myrtle job postings in the last six months.
How modern is the Myrtle tech stack?
Myrtle scores 73 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 Myrtle tech stack?
Alion reads every job posting Myrtle 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 30, 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, "Myrtle tech stack: 24 technologies from 16 job postings", as of Sep 30, 2026. https://alion.io/company/myrtle/technologies