雀艺信息科技 tech stack

雀艺信息科技 builds mostly with Python, Java, JavaScript, SQL. Its stack also includes FastAPI, ROS2, Apache Kafka, Kubeflow. Python is named in 3 of the 4 job postings 雀艺信息科技 published in the last 12 months (75%). Counted by Alion from the job postings of 雀艺信息科技, updated Oct 24, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 24, 2026
Technologies in use
20
Postings analysed
4
Open now
4
Modernity
79 /100

What programming languages does 雀艺信息科技 use?

Python is named in 75% of job postings at 雀艺信息科技, followed by Java (50%), JavaScript (50%), SQL (25%).

Python 3 75% required in 33% · 3 open now · since Oct 2026
Java 2 50% required in 50% · 2 open now · since Oct 2026
JavaScript 2 50% optional · 2 open now · since Oct 2026
SQL 1 25% required in 100% · 1 open now · since Oct 2026

What frameworks and libraries does 雀艺信息科技 use?

FastAPI is named in 75% of job postings at 雀艺信息科技, followed by ROS2 (50%), Spring Boot (50%), Three.JS (50%).

FastAPI 3 75% required in 100% · 3 open now · since Oct 2026
ROS2 2 50% required in 100% · 2 open now · since Oct 2026
Spring Boot 2 50% required in 100% · 2 open now · since Oct 2026
Three.JS 2 50% required in 100% · 2 open now · since Oct 2026
Ray 1 25% required in 100% · 1 open now · since Oct 2026

What databases does 雀艺信息科技 use?

ElasticSearch is named in 25% of job postings at 雀艺信息科技, followed by PostgreSQL (25%), Redis (25%).

ElasticSearch 1 25% required in 100% · 1 open now · since Oct 2026
PostgreSQL 1 25% required in 100% · 1 open now · since Oct 2026
Redis 1 25% required in 100% · 1 open now · since Oct 2026

What cloud and platforms does 雀艺信息科技 use?

Apache Kafka is named in 25% of job postings at 雀艺信息科技, followed by Kubeflow (25%), Kubernetes (25%), Linux (25%).

Apache Kafka 1 25% required in 100% · 1 open now · since Oct 2026
Kubeflow 1 25% required in 100% · 1 open now · since Oct 2026
Kubernetes 1 25% required in 100% · 1 open now · since Oct 2026
Linux 1 25% required in 100% · 1 open now · since Oct 2026

What developer tools does 雀艺信息科技 use?

GraphQL is named in 75% of job postings at 雀艺信息科技, followed by Argo Workflows (25%), Docker (25%), Rest API (25%).

GraphQL 3 75% required in 100% · 3 open now · since Oct 2026
Argo Workflows 1 25% required in 100% · 1 open now · since Oct 2026
Docker 1 25% required in 100% · 1 open now · since Oct 2026
Rest API 1 25% required in 100% · 1 open now · since Oct 2026

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How modern is the 雀艺信息科技 stack?

Cutting-edge 79/100

雀艺信息科技 scores 79 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: 0; legacy ones: 0.

Questions about the 雀艺信息科技 tech stack

What programming languages does 雀艺信息科技 use?

The languages named in 雀艺信息科技 job postings are Python (75%), Java (50%), JavaScript (50%), SQL (25%), as a share of the 4 postings of the last 12 months.

Does 雀艺信息科技 use FastAPI?

Yes. FastAPI is named in 3 of 4 job postings (75%) and required in 3 of them.

What cloud and platforms does 雀艺信息科技 use?

The cloud and platforms named in 雀艺信息科技 job postings are Apache Kafka (1), Kubeflow (1), Kubernetes (1) (postings in brackets).

Is the 雀艺信息科技 tech stack changing?

No new technology has appeared in 雀艺信息科技 job postings in the last six months.

How modern is the 雀艺信息科技 tech stack?

雀艺信息科技 scores 79 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: 0; legacy ones: 0.

How does Alion know the 雀艺信息科技 tech stack?

Alion reads every job posting 雀艺信息科技 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 Oct 24, 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, "雀艺信息科技 tech stack: 20 technologies from 4 job postings", as of Oct 24, 2026. https://alion.io/company/Queyixinxikeji/technologies

Licence: CC BY-SA 4.0JSON