Chart.js Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Chart.js
Khalid E.
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
Oleg A.
Last position:
Staff Software Engineer at Kpler Germany GmbH
- Delivered a new notifications platform implementation built from scratch to replace existing and upcoming services
- Collaborating with other teams to integrate more domains
Tech stack:
- Data: Scala 3, Apache Kafka, Python, Airflow, Astronomer
- BE-FE: TypeScript, NestJS, Java, Spring Boot, Vue
- Dev-ops: AWS, PostgreSQL, Docker, GitHub Actions, Kubernetes, Helm, ArgoCD
Deniel H.
Last position:
Shareholder & Senior Engineer, Product and Go-to-Market at Continua Systems GmbH
Consulting and software for intralogistics automation (AGV/FTS) · Product lines AGVHub (independent AGV project consulting, layout editor) and OneBob (all-in-one business software for small teams)
- Designed and planned the implementation of a supervisory control system for a bakery production line (engineering customer, kick-off workshop 08/2025): three development stages, eight acceptance-ready milestones, batch traceability, AGV integration with RFID, Vue frontend.
- Discovery and requirements discussions with plant logistics and IT teams at industrial customers (life science, aviation, steel, engineering): translated supervisory control, ERP interface, and VDA 5050 requirements into architecture and requirements specification structures.
- Go-to-market automation and analytics: Bing and Meta campaigns, LLM-supported LinkedIn content pipeline, performance dashboards for partners and sales.
- Expert posts on LinkedIn about robotics and intralogistics: around 170,000 impressions across 41 posts (03 to 08/2026).
Mehrdad J.
Last position:
Frontend Developer at Emzano
- Co-built a full e-signature and identity verification platform in a two-person team with a senior backend developer, with no designer or PM: all product, UX, and scope decisions made jointly.
Next.js / TypeScript
Hicham M.
Last position:
Freelance Software Developer at Buhl Data Service GmbH
- Backend development: .Net 8, C#, PostgreSQL, Entity Framework Core, REST Web APIs, Docker, Kubernetes, Kafka, Open API Swagger, Apache Airflow, Resharper, Git, Microservices, SOAP, gRPC, Hangfire, OAuth 2, GraphQL
- Interface development for document processing with SmartFix, Softexpansion and Natif.ai: C#, REST API, Resharper, Git
- Deployment: Azure DevOps YAML, Vanilla Helmchart, Rancher, Kubernetes Cluster, Linux Docker, Windows VM, Python
- Unit tests and integration tests
- Telemetry, Kibana, Grafana, Elastic Search
- Work in a Kanban team of 8 developers, 1 tester and one Product Owner
Hüseyin K.
Last position:
Senior Full-Stack Engineer at DVAG
Architecture and implementation of a fully digitalized closing flow for managing securities contracts within the DVAG infrastructure. The platform aims for maximum user-friendliness, modular extensibility and compliant handling of sensitive data.
Implementation of a reactive UI structure with a focus on user guidance & accessibility.
Dynamic control of form and closing processes including validation logic.
Reactive state management via SignalStore (signals + selective effects).
UX optimization through adaptive components and Playwright-based UI tests.
Backend modularization to connect existing sales and contract logic.
API stability and DTO design according to Clean Architecture principles.
Collaboration with domain teams to define technical contracts and service boundaries.
Management with GitHub.
Unit tests with Jest, E2E tests with Playwright.
Code reviews, CI-integrated test execution, iterative refactorings.
Ensuring high coverage and UI stability in the closing flow.
Technologies: Angular 18, RxJS, SignalStore, HTML5, SCSS, Spring Boot, Kotlin, REST, OAuth2, Jest, Playwright, Clean Architecture.
Martin S.
Last position:
TallyUp at Gerd Thom GmbH
- Optimized the UI of the Android-based POS software 'TallyUp'
- Analyzed the existing interface and collected user feedback based on system and distributed systems design
- Developed new designs and features
- Implemented improvements using Angular and Ionic
- Used NestJS, MySQL, MongoDB, PostgreSQL, Redis, MS SQL, RabbitMQ
- Technologies: TypeScript, Angular, Ionic, chart.js, Docker, GitLab CI, GitHub Actions, Stencil.js, Astro, Polymer, Shopware 5, Magento 1.x, Lerna, Storybook, Jenkins, Gitea, Material UI, Axios, Bootstrap, gulp.js, Bower, Deployer, Go, Handlebars, jQuery, OpenAI API, nginx, FrankenPHP, SonarQube, LokiJS
Fabian J.
Last position:
System Integrator for Robotics and Web Development at SENPRO Sensortechnik GmbH
- Developed a collaborative robot cell for automated handling and silicone dispensing of sensor components.
- Responsible for mechanical design, electronics, software integration and final CE certification.
- A custom-designed tool-changing system enabled automated switching between handling and dispensing tools.
- Developed a Django-based control console for industrial robots for process monitoring, combining a real-time dashboard (WebSocket, Chart.js) and a RESTful API (DRF).
- It allows asynchronous program execution, live data and camera stream visualization, robot control, as well as statistical analysis and documentation of process data with an interactive Bootstrap interface.
- Technologies used: Universal Robots (URScript), Arduino, OpenCV, Python, Django/Django REST Framework (DRF), Channels, SQLite, Chart.js, Bootstrap, JavaScript, HTML/CSS, AutoCAD, Autodesk Fusion 360, design & fabrication with aluminum profiles, laser parts, specialized sheet metal, RoboDK simulation
Oussama K.
Last position:
Senior Frontend Developer at DKB Code Factory GmbH
Peter S.
Last position:
Human IT Service GmbH
- Project: Citizen participation portal
- Technologies: HTML, CSS, TypeScript, Angular, SvelteKit, Rust, leaflet, osm
- Tasks: Design, technical decisions, implementation
- Focus: Frontend, development, UX, design, maintenance
Bastian M.
Last position:
Web Developer at FERCHAU Dresden / Staatliche Porzellan-Manufaktur Meißen GmbH
- Consultation and analysis of the Magento 2 (Adobe Commerce) webshop
- Customizing the interface to Comarch ERP
- Prioritization of customizations
- Performance optimization
- Master data optimization
- Refactoring the product import
- Technologies: PHP, PHPStorm, Git, Jira (user stories), SQL, Comarch ERP, MS Excel, MS Word, yEd
Daria A.
Last position:
Frontend Developer (Freelance) at Goose Freelancer Services
- Built a fully responsive business dashboard with dynamic job analytics visualisation and CMS-integrated content hub (articles, audio, images) with on-demand media loading. Achieved Lighthouse scores of 100 (Accessibility, SEO) and 88 (Performance) on mobile.
- Implemented pixel-perfect UI from Figma designs across 6 pages, adding scroll-triggered animations and unit tests for critical user-input components.
- Reduced code duplication by ~20% by refactoring AI-generated frontend codebase into modular, reusable components, improving long-term maintainability.
- Accelerated development by integrating AI-assisted coding workflows and Model Context Protocol (MCP) tooling, as well as independently resolved backend issues without dedicated support.
- Technologies used: Svelte (SvelteKit), Tailwind CSS, Supabase, Sanity, GSAP, Chart.js, Vitest.
Robert B.
Last position:
Lead Developer & Consultant at BIOCOM AG
Solo full-stack developer for upgrading a Rails 4 legacy application to Rails 7, including deployment setup via Capistrano and NGINX configuration
Delivered a custom admin dashboard with ChartJS reports, PDF generator and CSV batch importer via Administrate
Implemented new features for reporting, import, data management and GDPR compliance, redesigned core components
Markus T.
Last position:
Senior Software Engineer at Krauss Maffei Technologies GmbH
- Architecture and design of the application
- Development of new features
- Integration with AWS backend (GraphQL, REST)
- Deployment on AWS
- Gatsby, React, Redux, Material UI, TailwindCSS, ChartJS, Plotly, GraphQL, GitLab
Andreas M.
Last position:
Software Engineer at DieProduktmacher GmbH
- Developed a new dashboard for a recruiting agency
- Frontend development with Vue3
- Set up style configuration with Element Plus and Tailwind
- Responsive layout for all common screen sizes
- Various key performance indicator charts with ChartJs to display business-critical metrics
Discover over 15,000 top freelancers
Statistics of experts using Chart.js
Aggregated from the professional profiles of matched freelancers.
Experience
13 years
Position duration
1.3 years
Positions per freelancer
15
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
91%
Master's degree or higher
55%
Certifications per freelancer
2
Most common languages
German, English, French
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 Germany 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 Germany using Chart.js
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.
Chart.js 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 (94%)
- Banking and Finance (71%)
- Healthcare (53%)
- Manufacturing (53%)
- Retail (53%)
- Transportation (41%)
- Professional Services (41%)
- Tourism (41%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Visual data for the web
Chart.js is an open-source JavaScript library for presenting data as responsive charts in web applications. It supports common formats such as line, bar, pie, doughnut, radar, polar area and bubble charts. Teams use it to make operational data, financial results, product metrics and customer trends easier to understand.
Charts and interactions
Chart.js handles datasets, scales, legends, tooltips, labels and responsive resizing through a focused configuration model. Specialists can add filtering, drill-down views, live updates, custom animations and linked chart interactions. Canvas rendering keeps the library practical for dashboards that need clear visuals without a heavy charting stack.
Ecosystem and integration
- Connect charts to REST and GraphQL data sources
- Integrate Chart.js with React, Vue, Angular or plain JavaScript
- Configure time, linear, logarithmic and category scales
- Extend visuals with plugins, adapters and custom callbacks
- Apply TypeScript, testing and accessibility practices
Chart.js commonly sits inside frontend applications rather than working as a standalone reporting system. Strong specialists understand npm workflows, bundlers, API data handling and the surrounding component architecture.
When companies need expertise
Companies often bring in freelance specialists when a dashboard must move from a proof of concept to a reliable product interface. Typical work includes replacing hard-coded visuals, improving slow charts, adding export options, standardizing a design system or migrating an older chart implementation. Teams in Germany may also value professionals who can collaborate remotely across time zones or work on site when product and data teams need close coordination.
What strong professionals deliver
Experienced Chart.js professionals clarify which data belongs in each visual before writing configuration. They separate data preparation from presentation, handle missing values and large datasets carefully, and keep options maintainable. They also test responsive behavior, keyboard access, color contrast, tooltip content and updates across browsers and screen sizes.
Choosing the right specialist
Look for a portfolio showing real dashboards rather than isolated chart examples. Ask how the specialist would structure reusable chart components, manage updates and prevent misleading visual comparisons. Relevant experience may include business intelligence interfaces, finance tools, logistics views, SaaS analytics or industrial monitoring. A good fit can explain trade-offs between Chart.js, SVG-based libraries and larger visualization suites in clear product terms.
Frequently asked questions
Before you brief your next project: the most common questions about Chart.js.
Chart.js is used to add responsive data visualizations to websites and web applications. Companies use it for analytics dashboards, performance reports, financial summaries, operational monitoring and customer-facing metrics.
Chart.js provides ready-made chart types and a configuration model that supports fast implementation. D3.js offers deeper control over custom SVG-based visualizations, but usually requires more specialized code and a longer design process.
A strong Chart.js specialist should understand JavaScript or TypeScript, HTML, CSS and frontend component patterns. Experience with React, Vue, Angular, REST or GraphQL APIs, accessibility and data transformation is also valuable.
The right level depends on the scope. A simple set of static charts may need focused library knowledge, while a live dashboard with permissions, filtering, exports and complex data flows calls for a Chart.js professional who has handled production frontend systems.
Chart.js work is well suited to remote collaboration because chart configuration, data contracts and visual reviews can be shared through standard development tools. For teams in Germany, clear documentation and fluent communication in English or German can help when specialists work across product, design and data functions.
Choose Chart.js when a web product needs common interactive charts with a manageable dependency and a clear frontend integration. A larger suite may be more suitable when teams need advanced geographic maps, specialized statistical visuals, built-in reporting workflows or extensive enterprise support.
Review whether the Chart.js implementation communicates the data accurately and remains usable on different screens. Check loading behavior, update handling, keyboard access, color contrast, tooltip clarity, test coverage and whether the configuration is organized for future changes.
A Chart.js freelancer can deliver reusable chart components, dashboard screens, data adapters, custom plugins, responsive configurations and testing coverage. They may also document chart conventions, improve an existing implementation or support integration with a broader JavaScript application.
The average hourly rate of freelancers in Germany who have used Chart.js in their recent projects is 87 €, which corresponds to a daily rate of about 698 € based on an 8-hour working day.
Of the freelancers in Germany who have used Chart.js in their recent projects, 91% hold at least a Bachelor's degree and 55% hold at least a Master's degree.
On average, freelancers in Germany who have used Chart.js in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Germany who have used Chart.js in their recent projects are German (100%), English (100%), and French (18%).
The most common industries among freelancers in Germany who have used Chart.js in their recent projects are Information Technology (94%), Banking and Finance (71%), and Healthcare (53%).
The most common business areas among freelancers in Germany who have used Chart.js in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (59%).
Main locations of FRATCH Experts, who have recently used Chart.js
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 Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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