Plotly Experts in Munich
, matched with vetted and available freelancers in minutesHire experts who create interactive dashboards, analytical charts and production-ready data visualizations with Plotly, Python and Dash. FRATCH finds a precise match quickly from vetted, available freelancers.
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.
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)
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
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge 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 19 Sep 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 visualization library for creating interactive, browser-based charts from data. It supports Python, R, Julia and JavaScript, with chart types ranging from statistical plots and time series to maps, 3D scenes and financial visuals. Teams use it to explore data, explain results and deliver polished analytical interfaces.
Core ecosystem
Plotly Express provides a concise interface for common visualizations, while graph objects offer detailed control over traces, layouts and annotations. Dash extends Plotly into analytical web applications with reactive callbacks, components and multipage navigation. Strong specialists also work with pandas, NumPy, SQL, Jupyter, Git and deployment environments for Python services.
Typical project work
- Turn data from SQL, APIs or files into interactive charts
- Build Dash dashboards for operations, finance, research or sales
- Add filters, drilldowns, callbacks and export functions
- Create geographic, scientific, statistical or 3D visualizations
- Refine layouts for accessibility, responsiveness and clear storytelling
When to bring in expertise
Companies often seek freelance Plotly expertise when a prototype must become a reliable internal tool, when static charts no longer answer business questions, or when a data team needs a focused visualization workstream. In Munich, specialists may support local product, manufacturing, research and financial teams on-site, remotely or in a hybrid setup. The work may include chart design, data preparation, application structure, testing and handover.
Skills that matter
Quality work starts with choosing the right chart for the question rather than decorating a dataset. Look for professionals who can trace every visual back to a trustworthy source, manage missing and changing data, and keep callbacks understandable as a Dash app grows. Experience with responsive layouts, authentication, performance, accessibility and deployment separates a useful prototype from a dependable product.
Assessing a specialist
Ask for examples that show both visual judgment and technical depth. A capable professional should explain why Plotly Express, graph objects or another visualization approach fits the use case, and should be comfortable reviewing data models and user needs before writing charts. For a serious engagement, discuss ownership of reusable components, testing, documentation, deployment, collaboration language and how the team will maintain the result after delivery.
Frequently asked questions
Key details about Plotly, drawn from the questions we get asked most.
Plotly is used to create interactive charts, maps, statistical graphics, 3D visualizations and analytical dashboards. Companies use it for data exploration, reporting, operational monitoring and customer-facing data products.
Plotly is a strong choice when interaction, browser delivery and programmatic control matter. Matplotlib is often preferred for precise static figures, while Tableau offers a more packaged business intelligence workflow; the right option depends on the users, data pipeline and deployment model.
A capable Plotly specialist commonly brings Python, pandas, SQL and API integration skills, along with knowledge of Dash callbacks and web layouts. Familiarity with Git, testing, cloud deployment, authentication and data quality is valuable for production work.
The scope matters more than a fixed duration. A simple chart can be handled quickly, while a Dash application with complex callbacks, permissions, large datasets and deployment needs a professional who has delivered and maintained comparable systems.
Plotly projects are well suited to remote collaboration because code, data definitions and dashboard reviews can be shared online. Munich teams may still prefer on-site workshops for discovery or stakeholder reviews, with English or German agreed according to the project.
Review whether the visuals answer real user questions and remain understandable with different filters and data conditions. Ask how the Plotly specialist handles performance, accessibility, testing, responsive layouts, errors and documentation rather than judging only the appearance of a sample dashboard.
Dash is often a practical fit when a Python-focused team needs an interactive analytical application without maintaining a separate frontend stack. A separate frontend may be preferable when the product needs highly custom interactions, broad client-side behavior or a larger design system.
A Plotly engagement can involve much more than chart syntax. Clarify the data sources, refresh process, target users, hosting environment, security requirements, acceptance criteria and ownership of reusable components before estimating the work.
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 796 € 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
