73 Strings
Financial Software & Embedded Finance · Financial AI

73 Strings tech stack

73 Strings builds mostly with Python, SQL, Java, TypeScript. Its stack also includes Snowflake, Azure, Databricks, MS SQL. Python is named in 6 of the 12 job postings 73 Strings published in the last 12 months (50%). Counted by Alion from the job postings of 73 Strings, updated Nov 12, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 12, 2026
Technologies in use
41
Postings analysed
12
Open now
4
Modernity
73 /100

What programming languages does 73 Strings use?

Python is named in 50% of job postings at 73 Strings, followed by SQL (50%), Java (25%), TypeScript (25%).

Python 6 50% required in 100% · 1 open now · since Sep 2026
SQL 6 50% required in 100% · 3 open now · since Jul 2026
Java 3 25% required in 100% · since Sep 2026
TypeScript 3 25% required in 67% · 1 open now · since Sep 2026
JavaScript 1 8% required in 100% · 1 open now · since Sep 2026

What frameworks and libraries does 73 Strings use?

Angular is named in 8% of job postings at 73 Strings, followed by Cypress (8%), Playwright (8%).

Angular 1 8% required in 100% · 1 open now · since Sep 2026
Cypress 1 8% required in 100% · since Sep 2026
Playwright 1 8% required in 100% · since Sep 2026

What databases does 73 Strings use?

Snowflake is named in 42% of job postings at 73 Strings, followed by MS SQL (25%), Apache Iceberg (25%), PostgreSQL (8%).

Snowflake 5 42% required in 100% · 2 open now · since Sep 2026
MS SQL 3 25% required in 100% · 1 open now · since Oct 2026
Apache Iceberg 3 25% optional · 1 open now · since Oct 2026
PostgreSQL 1 8% required in 100% · 1 open now · since Sep 2026

What cloud and platforms does 73 Strings use?

Azure is named in 33% of job postings at 73 Strings, followed by Databricks (33%), Apache Kafka (33%), GitHub (25%).

Azure 4 33% required in 100% · 1 open now · since Sep 2026
Databricks 4 33% required in 100% · 1 open now · since Sep 2026
Apache Kafka 4 33% required in 25% · 2 open now · since Sep 2026
GitHub 3 25% required in 100% · 1 open now · since Oct 2026
GitHub Actions 3 25% required in 100% · 1 open now · since Oct 2026
Kubernetes 3 25% required in 100% · since Sep 2026
Power BI 3 25% required in 67% · 2 open now · since Sep 2026
Airflow 3 25% optional · 1 open now · since Oct 2026
Show all (14)
Spark3
AWS1
Datadog1
Dynatrace1
GCP1
Tableau1

What developer tools does 73 Strings use?

Model Context Protocol is named in 25% of job postings at 73 Strings, followed by dbt (25%), Microsoft Excel (8%), gRPC (8%).

Model Context Protocol 3 25% required in 67% · since Sep 2026
dbt 3 25% optional · 1 open now · since Oct 2026
Microsoft Excel 1 8% required in 100% · since Aug 2026
gRPC 1 8% required in 100% · since Sep 2026

Which engineering practices does 73 Strings ask for?

CI/CD is named in 50% of job postings at 73 Strings, followed by Dimensional Modeling (25%), Agentic Workflows (25%), LLM Evaluation (25%).

CI/CD 6 50% required in 100% · 1 open now · since Sep 2026
Dimensional Modeling 3 25% required in 100% · 1 open now · since Oct 2026
Agentic Workflows 3 25% required in 67% · since Sep 2026
LLM Evaluation 3 25% required in 67% · since Sep 2026
AI Agents 2 17% required in 100% · 1 open now · since Sep 2026
ETL/ELT 1 8% required in 100% · 1 open now · since Sep 2026
Incident Management 1 8% required in 100% · 1 open now · since Sep 2026
LLM Guardrails 1 8% required in 100% · since Sep 2026
Show all (11)
Platform Engineering1
Function Calling1
Structured Outputs1

What does each 73 Strings team work with?

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

Management

3 postings
Power BI2
SQL2

Data Science

3 postings
Azure3
Databricks3
GitHub3
GitHub Actions3
MS SQL3
Python3

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How modern is the 73 Strings stack?

Modern 73/100

73 Strings 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 73 Strings stack in its industry?

Share of the 1,466 companies in the same industries, whose stack Alion knows, that use each technology.

Python58%
SQL60%
Snowflake12%
Apache Kafka24%
Azure35%
Databricks9%
Airflow6%
Apache Iceberg3%
GitHub21%
GitHub Actions18%

What sets 73 Strings apart

Apache Iceberg3%

Questions about the 73 Strings tech stack

What programming languages does 73 Strings use?

The languages named in 73 Strings job postings are Python (50%), SQL (50%), Java (25%), TypeScript (25%), JavaScript (8%), as a share of the 12 postings of the last 12 months.

Does 73 Strings use Azure?

Yes. Azure is named in 4 of 12 job postings (33%) and required in 4 of them.

What cloud and platforms does 73 Strings use?

The cloud and platforms named in 73 Strings job postings are Azure (4), Databricks (4), Apache Kafka (4) (postings in brackets).

What skills do you need for a Management job at 73 Strings?

Management postings at 73 Strings most often require Power BI (2), SQL (2), out of 3 postings in the last 12 months.

Is the 73 Strings tech stack changing?

No new technology has appeared in 73 Strings job postings in the last six months.

How modern is the 73 Strings tech stack?

73 Strings 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 73 Strings tech stack?

Alion reads every job posting 73 Strings publishes and tags the technologies each one names. The figures on this page count the 12 postings of the last 12 months and were updated on Nov 12, 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, "73 Strings tech stack: 41 technologies from 12 job postings", as of Nov 12, 2026. https://alion.io/company/73strings/technologies

Licence: CC BY-SA 4.0JSON