Matplotlib Experts in Frankfurt
for clear, reliable data visualisation, matched in minutesHire experts who create publication-ready charts, interactive figures and reusable visualisation workflows with Matplotlib, NumPy and pandas. Get precise matches with vetted, available freelancers who can work remotely or alongside your Frankfurt team.
Meet FRATCH Experts in Frankfurt, who have recently used Matplotlib
Bardiya B.
Last position:
Data Scientist at Rewe Digital GmbH
Statistical Forecasting Algorithm
- Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
- Migration from R/On-premise to Python/Snowflake
- Productionalization on Snowflake in cooperation with data engineers & DevOps
Monitoring Dashboard
- Data engineering for preparation & provisioning of necessary data/resources on Snowflake
- Development & deployment of a Streamlit dashboard in Snowflake
ML-based Probabilistic Forecasting on Vertex AI
- Development of a ML-based probabilistic forecasting algorithm from scratch
- Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI
Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow
Ahsan J.
Last position:
Data Analytics Developer at Level Next Productions
- Built Power BI dashboards and enabled data-driven strategies across digital platforms
Olusina F.
Last position:
Cyber Job Simulation at Deloitte Australia
- Completed a job simulation involving reading web activity logs.
- Supported a client in a cybersecurity breach.
- Answered questions to identify suspicious user activity.
Kevin M.
Last position:
Freelance Lecturer in Coaching at DSI Education GmbH
- Practice-oriented coaching on core aspects of data science
- Teaching advanced concepts in Python as well as automation (with Make and n8n) and ETL processes with Apache Airflow
- Weekly preparation and delivery of practice-oriented programming courses using real-world examples
- Promoting practical programming skills among participants through interactive exercises and individual support
- Developing didactic materials and adapting content to participants' skill levels
- Close collaboration with the team for continuous improvement of course quality and learning outcomes
Serge K.
Last position:
Controller Specialist – IRBA / Model Validation at Alte Leipziger Bauspar AG
- Credit risk
- Quantitative methods
- Development and validation of IRBA rating systems
- Analysis and monitoring of the credit portfolio
- Reporting
- Development and validation of allowance for loan losses models (PWB)
- Support for internal and external audits
Aparna V.
Last position:
Data Manager at University of Cologne
- Engineered and automated a data pipeline using GitLab CI/CD for data ingestion, validation, and loading into a central database.
- Developed Python scripts for data validation and transformation, ensuring data quality and compliance with metadata standards.
- Managed the entire data lifecycle from file-based repositories to a structured SQL Server database.
- Worked in an interdisciplinary team to establish a central database for-omics data and ensure reproducibility of computational analyses.
Peka C.
Last position:
Data Warehouse Project for a Zoo at Alfatraining
- Created a complete entity-relationship model (ERM) for the future operational database
- Implemented the model using an RDBMS
- Designed and implemented a star schema for inventory management
Discover over 15,000 top freelancers
Statistics of experts using Matplotlib
Aggregated from the professional profiles of matched freelancers.
Experience
10 years (Germany: 11 years)
Position duration
1.8 years (Germany: 2 years)
Positions per freelancer
6 (Germany: 7)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Education, Information Technology, Banking and Finance
Certification focus areas
Business Intelligence, Information Technology, Accounting
Bachelor's degree or higher
100%
Master's degree or higher
100% (Germany: 85%)
Doctorate
33% (Germany: 19%)
Certifications per freelancer
6 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 99%)
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 Frankfurt 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 Frankfurt 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Matplotlib experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Education (71%)
- Information Technology (71%)
- Banking and Finance (43%)
- Retail (43%)
- Advertising (29%)
- Food and Beverage (29%)
- Transportation (29%)
- Media and Entertainment (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Matplotlib does
Matplotlib is a Python library for creating static, animated and interactive data visualisations. It gives teams detailed control over plots, axes, labels, annotations, colour, typography and figure layout. The library is widely used for scientific analysis, reporting, experimentation and technical communication.
Where it fits
Matplotlib supports visual work across research, manufacturing, finance, logistics, healthcare and software products. Experts use it to turn structured data and model output into charts that reveal trends, distributions, relationships and exceptions. In Frankfurt, it can support local teams working with operational, commercial or research data while keeping collaboration remote or on site.
Core ecosystem
The library works closely with the wider Python data stack. Strong specialists commonly combine it with NumPy arrays, pandas DataFrames, Jupyter notebooks and SciPy workflows, then export results through formats such as PNG, SVG, PDF and interactive notebook outputs. Seaborn can provide a higher-level statistical styling layer, while Plotly or Bokeh may suit browser-based interaction.
- Build line, bar, scatter, histogram and heatmap visualisations
- Configure subplots, legends, scales, tick locators and annotations
- Prepare figures for notebooks, reports, dashboards or publication
- Connect plots to data cleaning and analysis pipelines
When companies hire specialists
Freelance expertise helps when existing charts are difficult to maintain, inconsistent across reports or unsuitable for publication. Companies also bring in specialists when a prototype needs a dependable visualisation layer, a notebook must become a repeatable workflow, or a model requires clear diagnostic plots. A focused engagement can improve both visual clarity and the reliability of the supporting code.
What strong work includes
Quality goes beyond making a chart render. Professionals choose forms that fit the question, use honest scales, handle missing values, label units clearly and apply accessible colour choices. They separate data preparation from presentation logic, structure reusable plotting functions and validate exported figures at their final display size.
- Match chart design to the analytical question
- Keep styling, dimensions and file output consistent
- Document assumptions, transformations and dependencies
- Test figures with representative and changing data
Choosing the right specialist
Look for a portfolio showing more than attractive screenshots: inspect axis decisions, annotations, layout discipline and reproducible source code. Discuss the input data, required output formats, notebook or application context and review process before work begins. For Frankfurt-based collaboration, clarify on-site expectations, remote access and the working language; English is common in international technical teams, but project documentation should be agreed in advance.
Frequently asked questions
Questions about Matplotlib? Start with the answers below.
Matplotlib is used to create charts and figures from Python data. Companies use it for exploratory analysis, scientific plots, operational reporting, model diagnostics and publication-ready visual output.
Matplotlib offers detailed control over figure structure and output, while Seaborn adds convenient statistical styling and Plotly focuses on interactive browser-based charts. The right choice depends on whether the priority is precise static output, quick statistical graphics or rich user interaction.
A strong Matplotlib specialist should be comfortable with Python, NumPy, pandas and Jupyter. Experience with data cleaning, statistical reasoning, version control, testing and formats such as SVG or PDF is also valuable.
A small set of standard charts may need focused specialist support, while a reporting system or scientific workflow calls for deeper experience with reusable design and data validation. Assess the scope by the number of data sources, output formats, review requirements and integration points rather than by a generic experience label.
Matplotlib is well suited to remote collaboration because figures, notebooks and Python source files can be reviewed through shared repositories and documented workflows. Frankfurt teams should agree on access, review times, delivery formats and whether occasional on-site sessions are needed.
Review whether the figures answer a clear question, use readable labels, preserve accurate scales and remain understandable without verbal explanation. Ask to see the source code and test it with changing data; maintainable, reproducible plotting logic matters as much as the final image.
Matplotlib supports interaction through notebook backends, event handling and graphical user interfaces, although it is primarily known for controlled static and analytical figures. For complex browser interaction, a specialist may recommend Plotly, Bokeh or another complementary tool.
A Matplotlib freelancer should confirm the data schema, target audience, chart inventory, required file formats and visual standards. It is also important to clarify whether the deliverable is a notebook, reusable Python module, report asset or component inside a larger application.
The average hourly rate of freelancers in Frankfurt, Germany who have used Matplotlib in their recent projects is 96 €, which corresponds to a daily rate of about 766 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Matplotlib in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Matplotlib in their recent projects have 10 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Matplotlib in their recent projects are German (100%), English (86%), and French (43%).
The most common industries among freelancers in Frankfurt, Germany who have used Matplotlib in their recent projects are Education (71%), Information Technology (71%), and Banking and Finance (43%).
The most common business areas among freelancers in Frankfurt, Germany who have used Matplotlib in their recent projects are Information Technology (100%), Business Intelligence (86%), and Product Development (86%).
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.
Berlin 
Hamburg 
Munich 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
