Matplotlib Experts in Hamburg
in minutes from over 15,000 CVs with the power of AI.Hire experts who turn raw data into clear charts, custom plots, and publication-ready visuals with Matplotlib and pyplot. They support notebooks, reports, dashboards, and Python data workflows, with fast and precise matching to vetted, available freelancers.
Meet FRATCH Experts in Hamburg, who have recently used Matplotlib
Daniel Sedlack
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Heena Patel
Last position:
Retirement Spend & Tax Optimizer Agentic AI App (Vibe Coding) at Personal Project
Self-directed exploration of agentic AI development methods, taken from idea to a working, publicly usable application
- Built an interactive planning tool for modelling retirement withdrawals and tax strategy using an agentic AI (vibe coding) development approach – demonstrating self-directed investigation of new AI-assisted development methods
- Delivered live, tax-aware spending projections and adjustable user inputs; shipped as a free, install-free browser application built in Python, with attention to usability for non-technical users
Adriana Van Boxtel
Last position:
Board Member – Data Governance & Digital Strategy at IWCA Germany e.V.
- Co-founded the German chapter of the International Women's Coffee Alliance, contributing to strategic vision development and organizational structuring for international development initiatives
- Optimized internal workflows and reduced administrative overhead through systematic process analysis and documentation
- Designed and implemented governance frameworks and data governance standards to support ESG compliance and transparency requirements for NGO operations
- Developed comprehensive data strategy to enhance data quality, transparency, and reporting capabilities across international stakeholder network
Simone Amoroso
Last position:
Head of Technology & CISO at AI Quality and Testing Hub
- Lead developer of Prof. Valmed, the first LLM-powered medical device (utilising RAG on a medical corpus of 2.5M+ documents) to receive a CE certification.
- Designed and implemented cloud-native MLOps infrastructure for ENBW’s energy trading analytics division, enabling scalable deployment and monitoring of predictive models.
- Architected end-to-end testing and validation frameworks for AI/ML systems, ensuring quality, compliance, and robustness in critical and regulated applications.
- Conducted professional training on AI testing, EU regulatory frameworks, and quality assurance for production AI systems.
Ayesha Batool
Last position:
Operations Specialist at e-gnition Hamburg e.V.
- Managed budgeting and logistics for TUHH’s Formula-One Car, securing sponsorships to fund the design and manufacturing
- Coordinated organizational planning for the 150-member team, managing resource allocation and executing social media campaigns to promote season events
Enes Avsar
Last position:
Data Analyst at TELUS Digital
- Took the lead in analyzing customer support data for a global e-commerce brand's UK and Ireland operations, identifying common issues that resulted in a 30% increase in first contact resolution and a 25% decrease in repeat customer requests.
- Created Power BI service performance dashboards to assist the team in identifying pain points and improving the overall customer experience, resulting in a 15-point increase in NPS.
- Worked together with IT and support teams to optimize CRM systems and workflows, resulting in a 20% reduction in average response times.
- Used Python (pandas, NumPy) to automate data transformation pipelines, converting complex datasets into usable insights that improved service efficiency.
- Designed feedback loops and implemented significant operational adjustments to reduce customer attrition by 18%.
- Maintained and improved internal Excel tracking tools for monitoring key performance indicators and delivering weekly updates across teams.
Frank Wolf
Last position:
Fullstack Software Developer at Goodright GmbH
- Built backend APIs using Quarkus, Kotlin, MongoDB, Docker Compose and NGINX
- Developed frontend with React, TypeScript and Ant Design
Discover over 15,000 top freelancers
Statistics of experts using Matplotlib
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 11 years)
Position duration
2.1 years (Germany: 2 years)
Positions per freelancer
6 (Germany: 7)
Top business areas
Business Intelligence, Information Technology, Research and Development
Top industries
Education, Energy, Information Technology
Certification focus areas
Business Intelligence, Information Technology, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
86% (Germany: 85%)
Doctorate
29% (Germany: 19%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
English, German, Italian
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Hamburg 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 Hamburg using Matplotlib
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it does
Matplotlib is the standard Python library for static, animated, and interactive charts. It is used to turn data into line plots, bar charts, scatter plots, histograms, heatmaps, and custom visualizations that fit technical reports, notebooks, and production scripts.
Typical work
- Build publication-ready figures for analysis and reporting
- Design custom plot layouts, labels, legends, and annotations
- Tune styles for teams, brands, and journal requirements
- Export charts for slides, PDFs, and web assets
- Support exploratory analysis in Jupyter and Python scripts
Ecosystem
Matplotlib often sits next to NumPy, pandas, and Jupyter. Many specialists also use pyplot for quick plotting, then move to object-oriented figure and axes code for cleaner control, reusable templates, and more complex chart compositions.
When to bring in help
Companies bring in freelance Matplotlib experts when visual output must be precise, readable, and consistent. That includes migrating old plotting code, fixing messy notebooks, standardizing report charts, or building a plotting layer for internal analytics teams in Hamburg or remote Python teams elsewhere.
What strong specialists do
Strong professionals know when to use simple pyplot calls and when to work directly with figures and axes. They handle color, scale, annotations, tick formatting, subplots, and export settings with care. They also write code that other Python specialists can maintain without guesswork.
Good fit signals
- The team needs charts that are accurate, not decorative
- Existing plots are hard to read or hard to reuse
- Reports, notebooks, and scripts need a shared visual style
- The work depends on Python data preparation and analysis
- You need someone who can explain chart choices clearly
Frequently asked questions
Not sure where to start with Matplotlib? These answers cover the essentials.
Matplotlib is used to create charts and figures from Python data. Companies rely on it for analysis notebooks, internal reports, presentations, scientific work, and custom visual output that needs exact control over layout and labels.
Matplotlib gives the most direct control over every part of a chart. Seaborn is faster for statistical defaults, while Plotly is better when interactive web charts matter. Many Python specialists use Matplotlib as the base layer and add the others only when the project needs them.
A strong Matplotlib freelancer usually knows NumPy, pandas, and Jupyter well. For more advanced work, they should also understand figure and axes handling, data cleaning, statistical plotting, and how to export figures for slides, papers, or dashboards.
Matplotlib work ranges from simple chart fixes to full visualization standards for a team. Small tasks can be handled quickly, but reusable plotting code, complex subplot layouts, or large report pipelines need a specialist who has done similar work before.
Yes, most Matplotlib work can be done remotely because it is code- and review-based. For Hamburg teams, on-site sessions can help when chart design, stakeholder feedback, or analytics workflows need close discussion, but they are not required for every project.
A strong Matplotlib specialist writes clear code, uses the object-oriented API when it matters, and produces charts that are readable at a glance. Ask for examples of complex plots, consistent styling, and exports that look right in both notebooks and final documents.
Matplotlib solves the need for repeatable, maintainable plotting in Python. Instead of one-off chart snippets, it gives teams a standard way to build figures, format axes, manage subplots, and keep visuals consistent across many files and reports.
Yes, Matplotlib can handle advanced layouts, annotations, color control, twin axes, inset charts, and highly customized publication figures. It is especially useful when standard chart defaults are not enough and the visual output must match a strict format or style guide.
The average hourly rate of freelancers in Hamburg, Germany who have used Matplotlib in their recent projects is 85 €, which corresponds to a daily rate of about 683 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Matplotlib in their recent projects, 100% hold at least a Bachelor's degree, 86% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used Matplotlib in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Hamburg, Germany who have used Matplotlib in their recent projects are English (100%), German (86%), and Italian (29%).
The most common industries among freelancers in Hamburg, Germany who have used Matplotlib in their recent projects are Education (57%), Energy (57%), and Information Technology (57%).
The most common business areas among freelancers in Hamburg, Germany who have used Matplotlib in their recent projects are Business Intelligence (86%), Information Technology (86%), and Research and Development (71%).
Main locations of FRATCH Experts, who have recently used Matplotlib
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.
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Munich 
Frankfurt 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
