Docplanner tech stack

Docplanner builds mostly with SQL, Python, Apex, JavaScript. Its stack also includes Kubernetes, Tableau, Google BigQuery, Amazon Redshift. SQL is named in 12 of the 35 job postings Docplanner published in the last 12 months (34%). Counted by Alion from the job postings of Docplanner, updated Sep 28, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 28, 2026
Technologies in use
81
Postings analysed
35
Open now
15
Modernity
89 /100
New in 6 months
8

What programming languages does Docplanner use?

SQL is named in 34% of job postings at Docplanner, followed by Python (34%), Apex (9%), JavaScript (9%).

SQL 12 34% required in 100% · 4 open now · since Jul 2026
Python 12 34% required in 83% · 3 open now · since Jul 2026
Apex 3 9% required in 67% · 2 open now · since Jul 2026
JavaScript 3 9% required in 33% · 1 open now · since Aug 2026
TypeScript 3 9% optional · since Jul 2026
Node JS 2 6% optional · since Aug 2026

What frameworks and libraries does Docplanner use?

PyTorch is named in 9% of job postings at Docplanner, followed by Lightning Web Components (6%), Pandas (6%), Scikit-learn (6%).

PyTorch 3 9% required in 67% · 1 open now · since Jul 2026
Lightning Web Components 2 6% required in 100% · 2 open now · since Jul 2026
Pandas 2 6% required in 100% · 1 open now · since Jul 2026
Scikit-learn 2 6% required in 100% · 1 open now · since Jul 2026
TensorFlow 2 6% required in 100% · 1 open now · since Jul 2026
React.js 2 6% required in 50% · since Aug 2026
React Native 2 6% optional · since Aug 2026
Bootstrap 1 3% required in 100% · 1 open now · since Aug 2026
Show all (11)
Django1
LangChain1
Pytest1

What databases does Docplanner use?

Google BigQuery is named in 11% of job postings at Docplanner, followed by Amazon Redshift (9%), BigQuery (9%), Snowflake (6%).

Google BigQuery 4 11% required in 75% · 1 open now · since Jul 2026
Amazon Redshift 3 9% required in 67% · 1 open now · since Jul 2026
BigQuery 3 9% required in 67% · 1 open now · since Jul 2026
Snowflake 2 6% required in 100% · 1 open now · since Jul 2026
PostgreSQL 1 3% required in 100% · 1 open now · since Jul 2026

What cloud and platforms does Docplanner use?

Kubernetes is named in 26% of job postings at Docplanner, followed by Tableau (23%), AWS (20%), Superset (11%).

Kubernetes 9 26% required in 44% · 3 open now · since Apr 2026
Tableau 8 23% required in 63% · 2 open now · since Jul 2026
AWS 7 20% required in 57% · 2 open now · since Apr 2026
Superset 4 11% required in 25% · 2 open now · since Jul 2026
Power BI 3 9% required in 100% · since Aug 2026
Agentforce 3 9% required in 67% · 2 open now · since Jul 2026
MLFlow 3 9% required in 67% · 1 open now · since Jul 2026
AWS WAF 2 6% required in 100% · 2 open now · since Apr 2026
Show all (23)
Apache Kafka2
Cloudflare2
GitHub2
RabbitMQ2
Spark2
Figma1
Label Studio1
Windows1
Airflow1
Amazon S31
Azure1
Datadog1
GitHub Actions1
Looker1
OpenAI1

What developer tools does Docplanner use?

Claude Code is named in 26% of job postings at Docplanner, followed by Terraform (20%), Cursor (17%), Docker (14%).

Claude Code 9 26% required in 100% · 3 open now · since May 2026
Terraform 7 20% required in 57% · 2 open now · since Apr 2026
Cursor 6 17% required in 100% · 3 open now · since May 2026
Docker 5 14% required in 80% · 1 open now · since Jul 2026
Git 4 11% required in 100% · 3 open now · since Jul 2026
dbt 3 9% required in 67% · since Jul 2026
Calico 2 6% required in 100% · 2 open now · since Apr 2026
Cilium 2 6% required in 100% · 2 open now · since Apr 2026
Show all (18)
HashiCorp Vault2
Rest API2
Copilot2
Jupyter Notebook2
Adobe XD1
Sketch1
ArgoCD1
Helm1
Ruff1
pre-commit1

What AI and ML technologies does Docplanner use?

Claude is named in 26% of job postings at Docplanner, followed by LLM (9%), ChatGPT (6%), Gemini (3%).

Claude 9 26% required in 89% · 2 open now · since May 2026
LLM 3 9% required in 100% · 1 open now · since May 2026
ChatGPT 2 6% required in 100% · since May 2026
Gemini 1 3% optional · since Sep 2026

Which engineering practices does Docplanner ask for?

CI/CD is named in 34% of job postings at Docplanner, followed by A/B Testing (29%), AI Agents (23%), LLM Guardrails (14%).

CI/CD 12 34% required in 92% · 5 open now · since Apr 2026
A/B Testing 10 29% required in 100% · 4 open now · since Jul 2026
AI Agents 8 23% required in 100% · 5 open now · since Jul 2026
LLM Guardrails 5 14% required in 60% · 2 open now · since Jul 2026
Machine Learning 4 11% required in 100% · 3 open now · since Jul 2026
NLP 3 9% required in 33% · 2 open now · since Jul 2026
Edge AI 2 6% required in 100% · since Jul 2026
Embeddings 2 6% required in 100% · since Aug 2026
Show all (14)
Platform Engineering2
Service Mesh2
Recommender Systems2
Modularization1
Wi-Fi1
IAM1

What does each Docplanner team work with?

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

Product

7 postings
Claude Code6
Cursor6
Claude5
LLM3
SQL3
ChatGPT2

Data Science

6 postings
Python5
Docker4
SQL4
AWS2
Amazon Redshift2
Apache Kafka2

Analytics

4 postings
Python4
SQL4
Tableau4
Claude3
Claude Code3
Power BI3

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How is the Docplanner 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
EmbeddingsAug 2026
React.jsAug 2026
Node JSAug 2026
React NativeAug 2026
Apache KafkaAug 2026
RabbitMQAug 2026
SparkAug 2026
JavaScriptAug 2026

How modern is the Docplanner stack?

Cutting-edge AI adopter 89/100

Docplanner scores 89 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 Docplanner stack in its industry?

Share of the 158 companies in the same industries, whose stack Alion knows, that use each technology.

Python47%
SQL49%
Claude35%
Kubernetes34%
Tableau14%
AWS51%
Google BigQuery8%
Superset1%
Agentforce2%
Amazon Redshift6%

What sets Docplanner apart

Superset1%
Agentforce2%
Apex4%
MLFlow4%

Questions about the Docplanner tech stack

What programming languages does Docplanner use?

The languages named in Docplanner job postings are SQL (34%), Python (34%), Apex (9%), JavaScript (9%), TypeScript (9%), as a share of the 35 postings of the last 12 months.

Does Docplanner use PyTorch?

Yes. PyTorch is named in 3 of 35 job postings (9%) and required in 2 of them.

What cloud and platforms does Docplanner use?

The cloud and platforms named in Docplanner job postings are Kubernetes (9), Tableau (8), AWS (7) (postings in brackets).

What skills do you need for a Product job at Docplanner?

Product postings at Docplanner most often require Claude Code (6), Cursor (6), Claude (5), LLM (3), out of 7 postings in the last 12 months.

Is the Docplanner tech stack changing?

Yes. Embeddings, React.js, Node JS, React Native first appeared in Docplanner job postings in the last six months.

How modern is the Docplanner tech stack?

Docplanner scores 89 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 Docplanner tech stack?

Alion reads every job posting Docplanner publishes and tags the technologies each one names. The figures on this page count the 35 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, "Docplanner tech stack: 81 technologies from 35 job postings", as of Sep 28, 2026. https://alion.io/company/docplanner/technologies

Licence: CC BY-SA 4.0JSON