Plotly Experts in Munich
for clear, interactive data products, matched in minutes by AIHire experts who turn analytical data into interactive Plotly charts, Plotly Dash applications and decision-ready reporting. FRATCH connects you quickly with vetted, available freelancers whose skills match your project, stack and delivery needs.
Meet FRATCH Experts in Munich, who have recently used Plotly
Michael N.
Last position:
Senior AI Engineer | Forward Deployed Engineer at Tiefbau
- Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
- Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
- Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.
Mario G.
Last position:
Software and Data Engineer at Plexify GmbH
- Architecture, design and development of an MVP application for a provider of specialized travel experiences
- Technologies: Python, FastAPI, Firestore, Firebase, Docker
Stephan B.
Last position:
Freelance Data Scientist at Baier Data & AI Consulting
Christian S.
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
Sebastian D.
Last position:
Data Scientist at CLADE GmbH
- Designed and implemented a robust Python-based data processing framework that supported the transition from R to Python and significantly improved data science productivity by providing maintainable, standardized modules for frequently used workflows, following coding best practices and DevOps principles
- Evaluated, trained, and deployed machine learning models on cloud platforms and edge devices, enabling fully automated mid-infrared (MIR) data evaluation pipelines that eliminated manual analysis steps and significantly shortened the time from measurement to prediction for customers and internal stakeholders
- Analyzed and interpreted multivariate MIR spectral data from the company’s proprietary analyzer using R and Python, supporting reliable identification and quantitation of chemical compounds in solution
Stephan S.
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Eyasu H.
Last position:
Data Scientist at Deutsche Bundesbank
- Developed web scraping scripts to extract and parse over 5000 product data from the Zalando website.
- Performed ETL processes using Apache Spark in CDSW, loaded the data into the Hadoop ecosystem (HDFS), and managed data using Hive and Impala.
- Implemented machine learning algorithms, achieving 85–90% accuracy on multi-class product classification.
- Integrated Zalando's product and price data into the dashboard with Otto and Takko for interactive visuals.
Daniel C.
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Adithya B.
Last position:
Edge AI Software Engineer at Neura Robotics GmbH
- Deployed and optimized Vision-Language-Action (VLA) and diffusion policy models on NVIDIA Jetson Orin and Jetson Thor, meeting real-time inference latency targets for humanoid robot control loops.
- Built TensorRT engine pipelines (PyTorch → ONNX → TensorRT) with INT8/FP8 post-training quantization, calibration dataset design, and quantization-aware validation, reducing inference memory footprint by over 3× on Jetson without accuracy regression.
- Developed custom CUDA C++ plugins and CUDA Graphs for latency-deterministic, real-time policy execution – meeting hard runtime and memory constraints on embedded GPU targets.
- Developed an inference engine for VLA models on top of llama.cpp bringing different VLA policies under single runtime, packaging each as a single self-contained GGUF that needs no Python or PyTorch.
- Profiled and tuned GPU execution using NVIDIA Nsight Systems and Nsight Compute, identifying CUDA kernel bottlenecks, memory bandwidth saturation, and SM occupancy issues across Jetson Orin and Thor compute profiles for cross-layer performance optimization.
Konstantin G.
Last position:
Senior Business Analyst, Requirements Engineer, Project Manager at Perelyn GmbH
Discover over 15,000 top freelancers
Statistics of experts using Plotly
Aggregated from the professional profiles of matched freelancers.
Experience
12 years
Position duration
2 years
Positions per freelancer
10
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
89%
Doctorate
33%
Certifications per freelancer
4
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Munich using Plotly
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Plotly experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (80%)
- Manufacturing (50%)
- Automotive (40%)
- Education (40%)
- Banking and Finance (40%)
- Professional Services (40%)
- Insurance (30%)
- Government and Administration (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Plotly does
Plotly is a data visualization library for creating interactive charts in Python, JavaScript, R and Julia. Teams use it to explore complex datasets, explain trends and give business users responsive views of operational or scientific information. Its browser-based graphics support hover details, filtering and zooming without requiring users to read raw data.
Plotly tools and names
Plotly’s Python ecosystem includes plotly.py and the high-level Plotly Express interface. Plotly Graph Objects provide detailed control over traces, layouts and interactions, while Dash adds a web application layer for analytical interfaces. Strong specialists also understand pandas, NumPy, SQL, Jupyter and the deployment environment around the visualization.
Typical deliverables
- Interactive dashboards for sales, operations, finance or research
- Exploratory notebooks and reusable chart components
- Dash applications with filters, callbacks and responsive layouts
- KPI views connected to APIs, databases or data pipelines
- Exportable charts and reporting views for internal stakeholders
When companies need specialists
Companies bring in freelance Plotly expertise when static reports no longer answer follow-up questions quickly. A specialist can replace fragmented spreadsheet views, improve an existing Dash application or turn a proof of concept into a maintainable product. Munich teams may work on-site or remotely, depending on data access, workshops and collaboration needs; clear English and, where required, German communication help keep stakeholder feedback precise.
What strong professionals know
A strong Plotly professional chooses the right chart for the analytical question rather than adding visual effects. They structure data for reliable updates, manage callback dependencies, handle missing values and protect sensitive information. They also test browser behavior, loading performance, accessibility and responsive layouts across the environments where users will consume the result.
How projects reach production
Plotly work does not end when a chart renders correctly in a notebook. Specialists connect visualizations to trusted data sources, separate presentation from business logic and document the assumptions behind each metric. For Dash delivery, relevant skills include authentication, caching, state management, automated testing, containerization and deployment, so the final interface remains stable as data volume and user needs change.
Frequently asked questions
Key details about Plotly, drawn from the questions we get asked most.
Plotly is used to create interactive charts, analytical dashboards and data exploration tools. With plotly.py, Plotly Express and Dash, teams can connect visual interfaces to databases, APIs and Python-based data workflows.
Plotly focuses on interactive, browser-based visualization and works well when users need to inspect, filter or zoom into data. Matplotlib is often preferred for highly controlled static figures, while Tableau offers a more packaged business intelligence experience; the right choice depends on control, deployment and user needs.
A strong Plotly specialist usually works comfortably with Python, pandas, SQL and data quality checks. For Dash projects, experience with web layouts, callbacks, APIs, authentication, testing and deployment is also valuable.
A small charting task may suit a professional who understands the relevant data and chart types. A production dashboard needs deeper Plotly experience, especially with application structure, callback performance, security, testing and deployment; the required depth depends on risk and scope rather than the chart count.
Yes. Plotly projects are often suitable for remote collaboration when data access, review routines and environments are clearly defined. Munich-based teams may still prefer on-site workshops for discovery, stakeholder alignment or work involving restricted systems, and language expectations should be agreed early.
Ask for examples that show more than attractive visuals. A capable Plotly professional can explain data modeling, chart selection, interaction design, accessibility, testing and how the dashboard behaves with incomplete or changing data.
Plotly Express is a concise way to produce common charts and explore data quickly. Plotly Graph Objects are more suitable when a project needs custom traces, precise layout control, multiple coordinated views or behavior that the high-level interface does not expose.
A maintainable Dash application separates data access, business rules and presentation logic. Clear callback design, reusable components, sensible state handling, caching, automated tests and deployment documentation reduce the risk of fragile interactions as the application grows.
The average hourly rate of freelancers in Munich, Germany who have used Plotly in their recent projects is 99 €, which corresponds to a daily rate of about 795 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Plotly in their recent projects, 100% hold at least a Bachelor's degree, 89% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Munich, Germany who have used Plotly in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Munich, Germany who have used Plotly in their recent projects are German (100%), English (100%), and Spanish (40%).
The most common industries among freelancers in Munich, Germany who have used Plotly in their recent projects are Information Technology (80%), Manufacturing (50%), and Automotive (40%).
The most common business areas among freelancers in Munich, Germany who have used Plotly in their recent projects are Business Intelligence (90%), Information Technology (90%), and Product Development (80%).
Main locations of FRATCH Experts, who have recently used Plotly
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Countries:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
