Chart.js Experts in Germany
in minutes from over 15,000 CVs with the power of AI.Hire experts who turn raw data into clear line, bar, pie, radar, and mixed charts with Chart.js, tune responsive dashboards, and connect visualizations to live app data. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Chart.js
Khalid El Mansouri
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 Abrazhaev
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
Hicham Mokhtari
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 Korkut
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.
Daria Aleshina
Last position:
Frontend Developer 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.
Fabian Jonen
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 Krifa
Last position:
Senior Frontend Developer at DKB Code Factory GmbH
Martin Staudt
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
Peter Schmelzer
Last position:
Human IT Service GmbH
- Project: Citizen participation portal
- Technologies: HTML, CSS, TypeScript, Angular, SvelteKit, Rust, Leaflet, OSM
- Tasks: Conceptual design, technical decision-making, implementation
- Focus: Frontend, development, UX, design, maintenance
Bastian Mattheß
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
Robert Barisic
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 Troschinski
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 Mann
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
Henning Pankratius
Last position:
Siemens
- Developed a reporting API with RESTful services and Spring Boot
- LDAP integration
- Migrated services to AWS
- Bootstrap
- Frontend development with Angular 14
- JBoss
- DynamoDB
- S3
- Athena
René Wick
Last position:
Development of an AI-supported system for lead generation
As part of an in-house development project, a pipeline for automated lead generation was created as the second stage of a preceding system for project monitoring. Based on a list of freelance project URLs (freelancermap), qualified lead records are generated, including company, contact person, official and personal email address, and the appropriate form of address (informal/formal). The technologies used were Python (openpyxl, requests) as well as an LLM agent workflow in VS Code (GitHub Copilot Chat) with a custom slash command and extensive rule set; search APIs (Serper.dev) are connected for research. My tasks included the full concept and development. The core is a rule set of around 480 lines that guides the LLM agent deterministically through extraction, website and email lookup, duplicate matching (against existing provider lists), and the creation of a structured JSON output. Deterministic steps (Excel matching, web/email search, pattern derivation) were moved into Python helper scripts. Other requirements included validating the results through versioned blind runs against a reference, iterative refinement of the rule set, and a swappable search provider layer for cost and stability reasons.
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
16
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
89%
Master's degree or higher
44%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
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 Germany 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What Chart.js does
Chart.js is a JavaScript charting library for building clear, interactive data visuals in the browser. Teams use it for dashboards, reports, admin views, and product analytics where the chart must stay light and easy to update.
Common chart work
- Line, bar, pie, doughnut, radar, polar area, and scatter charts
- Responsive views that adapt to screens and containers
- Live data updates from APIs and web app state
- Custom tooltips, labels, legends, and animations
- Themed charts that match product design systems
Ecosystem and setup
Strong Chart.js work often sits inside React, Vue, or plain JavaScript apps. Experts also handle data shaping, date and number formatting, canvas behavior, and chart registration, whether the project uses CDN setup, npm packages, or a bundled frontend stack.
When companies bring in specialists
Companies usually look for freelance Chart.js expertise when charts look cluttered, load slowly, or fail on smaller screens. It also helps when a team needs a reporting layer for a SaaS product, an internal KPI dashboard, or a customer-facing analytics view in Germany with clean handoff and solid documentation.
What strong professionals deliver
Good Chart.js professionals do more than draw a graph. They choose the right chart type, keep labels readable, handle missing or changing data, and make sure the visuals stay accurate across devices.
Signals you need help
- Your charts work, but users do not understand them
- You need reusable chart components for many pages
- Your data model changes and the charts break
- You need help with Chart.js configuration or plugins
- You want faster delivery on a dashboard or analytics feature
Frequently asked questions
Before you brief your next project: the most common questions about Chart.js.
Chart.js is used to present metrics, trends, and comparisons in web apps without heavy setup. Companies use it for dashboard panels, reporting screens, product analytics, and internal tools where data needs to be easy to read and update.
Chart.js is usually chosen when a team wants standard charts quickly with less custom drawing work. D3.js is better for highly custom visuals and low-level control, while Chart.js is a stronger fit for common business charts, simpler configuration, and faster delivery.
A strong Chart.js specialist should also know JavaScript, data shaping, and frontend integration. In React or Vue projects, they should handle component state, API data, responsive layout, and formatting for dates, numbers, and labels.
A project needs Chart.js help when charts become hard to maintain, need custom behavior, or must fit a product design system. It is also useful when a team has data but not enough time to build reliable, polished visualizations.
Yes, Chart.js is commonly used in React and Vue apps. Freelancers often wrap chart logic in reusable components, manage updates from state or API calls, and make sure charts redraw cleanly when props change.
Chart.js can work well for live dashboards when the update pattern is simple and the data volume is sensible. A specialist should know how to batch updates, avoid unnecessary redraws, and keep the interface responsive as values change.
Look for clear examples of charts that are readable, responsive, and well matched to the data. A good Chart.js freelancer explains chart choice, handles edge cases like empty data, and writes code that is easy for your team to maintain.
Most Chart.js work can be done remotely, especially when the freelancer has access to the data model, design input, and frontend codebase. On-site collaboration in Germany can help when the team needs close workshop-style feedback on dashboards, reports, or product analytics.
The average hourly rate of freelancers in Germany who have used Chart.js in their recent projects is 89 €, which corresponds to a daily rate of about 715 € based on an 8-hour working day.
Of the freelancers in Germany who have used Chart.js in their recent projects, 89% hold at least a Bachelor's degree and 44% 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 (20%).
The most common industries among freelancers in Germany who have used Chart.js in their recent projects are Information Technology (93%), Banking and Finance (67%), and Retail (60%).
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 Business Intelligence (60%).
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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Philipp Thomaschewski
FRATCH CEO
