Sourceability tech stack
Sourceability builds mostly with SQL, Python, C#, TypeScript. Its stack also includes Azure, Azure DevOps, NumPy, Pandas. Azure is named in 23 of the 30 job postings Sourceability published in the last 12 months (77%). Counted by Alion from the job postings of Sourceability, updated Sep 30, 2026.
What programming languages does Sourceability use?
SQL is named in 57% of job postings at Sourceability, followed by Python (43%), C# (40%), TypeScript (27%).
SQL
17 57%
Python
13 43%
C#
12 40%
TypeScript
8 27%
JavaScript
8 27%
PHP
2 7%
PowerShell
1 3%
Apex
1 3%
What frameworks and libraries does Sourceability use?
NumPy is named in 27% of job postings at Sourceability, followed by Pandas (27%), PyTorch (27%), Scikit-learn (27%).
NumPy
8 27%
Pandas
8 27%
PyTorch
8 27%
Scikit-learn
8 27%
Transformers
8 27%
Cypress
5 17%
Playwright
5 17%
Selenium
5 17%
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What databases does Sourceability use?
PostgreSQL is named in 17% of job postings at Sourceability, followed by ElasticSearch (13%), MySQL (13%), Neo4j (13%).
PostgreSQL
5 17%
ElasticSearch
4 13%
MySQL
4 13%
Neo4j
4 13%
MS SQL
3 10%
Azure SQL Database
3 10%
Redis
3 10%
OpenSearch
2 7%
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What cloud and platforms does Sourceability use?
Azure is named in 77% of job postings at Sourceability, followed by Azure DevOps (57%), AWS (40%), .NET (23%).
Azure
23 77%
Azure DevOps
17 57%
AWS
12 40%
.NET
7 23%
GitLab CI
6 20%
GitHub Actions
5 17%
Windows Server
5 17%
Datadog
5 17%
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What developer tools does Sourceability use?
Docker is named in 37% of job postings at Sourceability, followed by Git (37%), ONNX (27%), Rest API (20%).
Docker
11 37%
Git
11 37%
ONNX
8 27%
Rest API
6 20%
Jenkins
5 17%
Gatling
4 13%
JMeter
4 13%
OpenVINO
4 13%
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What AI and ML technologies does Sourceability use?
CLIP is named in 13% of job postings at Sourceability, followed by LLM (13%), YOLO (13%), Core ML (13%).
Which engineering practices does Sourceability ask for?
CI/CD is named in 53% of job postings at Sourceability, followed by Machine Learning (27%), Computer Vision (20%), NLP (20%).
CI/CD
16 53%
Computer Vision
6 20%
NLP
6 20%
CNN
4 13%
Embeddings
4 13%
Fine-tuning
4 13%
Show all (30)
What does each Sourceability team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
8 postingsDevOps
5 postingsQA
4 postingsHow does your stack fit Sourceability?
How is the Sourceability 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 Sourceability stack?
Sourceability 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: 4; legacy ones: 0.
How common is the Sourceability stack in its industry?
Share of the 920 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Sourceability apart
Companies with a stack like Sourceability
Questions about the Sourceability tech stack
What programming languages does Sourceability use?
The languages named in Sourceability job postings are SQL (57%), Python (43%), C# (40%), TypeScript (27%), JavaScript (27%), as a share of the 30 postings of the last 12 months.
Does Sourceability use NumPy?
Yes. NumPy is named in 8 of 30 job postings (27%) and required in 8 of them.
What cloud and platforms does Sourceability use?
The cloud and platforms named in Sourceability job postings are Azure (23), Azure DevOps (17), AWS (12) (postings in brackets).
What skills do you need for a AI/ML job at Sourceability?
AI/ML postings at Sourceability most often require NumPy (8), Pandas (8), PyTorch (8), Python (8), out of 8 postings in the last 12 months.
Is the Sourceability tech stack changing?
Yes. Microsoft Excel, Embeddings, Fine-tuning, GraphRAG first appeared in Sourceability job postings in the last six months.
How modern is the Sourceability tech stack?
Sourceability 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: 4; legacy ones: 0.
How does Alion know the Sourceability tech stack?
Alion reads every job posting Sourceability publishes and tags the technologies each one names. The figures on this page count the 30 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, "Sourceability tech stack: 135 technologies from 30 job postings", as of Sep 30, 2026. https://alion.io/company/sourceability/technologies