Hire the Best Plotly Developers

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QUANG MINH P.

Ho Chi Minh City, Vietnam

$60/hr
5.0
2 jobs

I help ecommerce brands, restaurant chains, and retail groups stop guessing and start reading their numbers at a glance. With 8+ years in data and BI, I turn messy Shopify, POS, and store data into a clean warehouse, dashboards your team actually uses, and an AI copilot that answers business questions in plain English. Here is what makes my work different: I add a chat-with-data layer on top of governed analytics. Instead of learning Power BI, a store manager or founder can just ask "how did each region do vs last month?" and get the right answer, backed by real SQL. The AI runs on a local model on your own infrastructure, so your data never leaves your environment and there are no per-query API fees. Every metric is defined once and protected by automated tests, so numbers do not silently drift between reports. A bit of my background: Senior BI Developer building end-to-end enterprise Power BI: dashboards, semantic models, star-schema data models, DAX optimization, and row-level security. Senior Data Analyst at Pizza Hut Vietnam, where I led the reporting redesign from SSRS to Power BI and grew internal BI adoption by 82% year over year. I also built RFM segmentation, churn prediction, pricing models, and demand forecasting, and trained restaurant managers directly. Independent analytics engineering: full pipelines using dbt, Airflow, and WrenAI text-to-SQL on a local LLM, delivered as governed, self-hosted platforms. Core stack: SQL (advanced), Snowflake, BigQuery, PostgreSQL, Python (pandas), Power BI, Superset, dbt, Airflow, and WrenAI for natural-language analytics. Strengths in dimensional modeling, metric governance, KPI dashboards, and turning data into decisions. How I like to start: a fixed-price pilot on your own data (usually 1 to 2 weeks). I connect one source, model your top KPIs, and deliver one dashboard plus a working chat-with-data copilot, so you see the result before committing to a full build. If you want analytics your whole team can trust and actually use, send me a message and tell me about your data. I am happy to show a live demo of the copilot in action.

  • Dashboard
  • Business Intelligence
  • KNIME
  • Data Analysis
  • Microsoft Power BI
  • Statistics
  • Microsoft Power BI Data Visualization
  • Microsoft Excel PowerPivot
  • ETL Pipeline
  • Business Report
  • Business Analysis
  • Microsoft Power BI Development
  • Analytics
  • Analytics Dashboard
David G.

Barcelona, Spain

$90/hr
4.9
231 jobs

✅ Top 1% part of Upwork's EXPERT-VETTED program | NO AGENCY SOLO DEVELOPER 🎖️ 8 years+ of experience in Data Science 🏅 180+ Upwork Projects 💯 Less than 1 Hour Response time My specialty is to take your business problem and find a suitable end to end solution using AI and programming tools from Python, R, JavaScript programming languages. My extensive experience and wide skillset from data acquisition, model training to production grade application or REST API development will save you time and costs (material or psychological i.e. trying to find developers to make MVP, organize and support communication within team). AI Agentic systems are overtaking markets with potential impact on various businesses and creating opportunities to utilize. My skills in AI Agentic system development using Langchain, LangGraph, CrewAI, Autogen, RAG, MCP, Retell ai, Elevenlabs will give you opportunities to cut costs and optimize your business operations. My skills include machine learning, deep learning, computer vision, web scraping, data engineering, web development, and data visualizations. I can create interactive web applications and dashboards using Python's Dash framework and R's shiny package so you will be able to observe, analyze and present various aspects of your business and other activities in practical ways. My expertise also includes the development of graphical user interface GUIs with Python's Kivy framework. In Computer Vision, my skills include image classification, object detection, and image segmentation with Python tools such as Tensorflow, Keras, CNNs (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50), SSD, YOLO, TFOD, and Mask R-CNN. Importantly, I have skills in math and statistics essential for understanding processes behind code and interpreting outcomes from it. I have done my MBA with a focus on data science. I have been working as an accountant for around five years, including a member of the Big Four and as Data Scientist in a local IT company focused on DS. Thus, I understand finance from theoretical and practical sides and can apply code to analyze vast amounts of financial or other data efficiently. Considering my previous experience, my domain knowledge in finance, marketing (CTR, CLV), process optimization, and other business areas, I will focus on understanding your business goals and implementing solutions to make them come true. My skills include: ✅ Data Science ✅ Machine Learning ✅ Deep Learning ✅ Algorithmic Trading ✅ Generative AI ( Langchain, IIamaIndex, LangGraph, LangSmith, HuggingFace, StableDiffusion, Midjourney, OPEN AI, CHAT GPT4, CHAT GPT3.5, Mistral7B, Gemini, Cursor, Ollama, CrewAI, AutoGen, MCP, Google MCP Toolbox for Databases) ✅ Prompt Engineering (ICO, TESSA, ReAct, Chain of Thought, Map Reduce, Refine) ✅ AI Agents, Inbound & Outbound & Batch Calls, Chatbots, RAG, Conversational Agents, VAPI, Retell.ai, Make com, gohighlevel, n8n, telnyx, twilio ✅ Full Stack Development (React, React Native, Next.js) for AI integration ✅ Interactive Visualizations/Dashboards ✅ Data Engineering (MySQL, MongoDB, PostgreSQL, BigQuery, Oracle, SQLServer, Pinecone, ETL) ✅ Python, R, SQL ✅ Object Oriented Programming (OOP) ✅ PEP-8 (pylint, isort, flake8, autopep, black, docstrings, pydocstyle, mkdocs) ✅ Web development (interactive dashboards Dash) ✅ Bot Development (Telegram) ✅ Graphical User Interfaces (GUI) Kivy ✅ Big Data (Spark) ✅ Recommender Systems ✅ DevOps (ML Deep Learning model deployment on cloud, TDD, AWS, GCP, Azure, Docker, REST API) ✅ OCR ✅ Computer Vision ✅ Audio Processing ✅ Natural Language Processing NLP (Bert, fastText, Langchain) ✅ CNN (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50) ✅ Object Detection (R-CNN, SSD, YOLO, TFOD API) ✅ Image Segmentation (Mask R-CNN) ✅ Transfer Learning ✅ Time Series Analysis (ARIMA, SARIMA, LSTM, PROPHET) ✅ OpenCV ✅ Educational Tutorials ✅ Web Scraping ✅ Web Crawling ✅ API Clients ✅ Keras, Tensorflow, PyTorch ✅ Dash, Shiny, Plotly, Streamlit, React, Next.js ✅ Pandas, Numpy, Scipy, Scrapy, Selenium, requests, ggplot2 ✅ IOT (Raspberry Pi) ✅ REST API (Google Ads, Google Analytics, FB/META API, Stripe, CCXT, OPEAI etc.) ✅ REST API development (Flask, FastAPI)

  • Python
  • Computer Vision
  • Deep Learning
  • Data Science
  • Machine Learning
  • Generative AI
  • AI Chatbot
  • Stable Diffusion
  • React
  • Next.js
  • React Native
  • LLM Prompt
  • Chatbot
  • AI Agent Development
  • AI Development
  • Retrieval Augmented Generation
  • AI Implementation
  • AI App Development
  • OpenAI API
  • AI Model Training
Hao V. P.

Ho Chi Minh City, Vietnam

$22/hr
4.3
39 jobs

🚀 Expert AI Agent Engineer | LLMs | RAG | Context Engineering | Agent Platform ⚽️ What I can do for you : ✦ Design and build multi-agent systems where specialized agents collaborate to complete complex, multi-step tasks (using LangChain, LangGraph, CrewAI, or raw OpenAI/Anthropic APIs) ✦ Implement tool-use and function-calling pipelines (web search, database queries, API calls, code execution, and custom business logic) ✦ Build RAG-powered agents that retrieve and reason over your proprietary documents (PDF, Excel, internal knowledge bases) ✦ Build GraphRAG agents backed by a knowledge graph for structured, relationship-aware reasoning ✦ Automate agentic workflows with n8n or Celery - triggered by schedules, events, or user input, running fully autonomously ✦ Deploy agents as production-ready REST APIs (FastAPI) on AWS (EC2, Lambda) with scalable, async architectures ✦ Integrate agents into your existing systems and products with clean, maintainable interfaces What I specialize in: - RAG & GraphRAG systems: including knowledge graph-powered assistants for clinical diagnosis support or Customer Support - LLM Agents & multi-agent workflows: autonomous pipelines that handle complex, multi-step user requests - LLM fine-tuning: on OpenAI, Gemini, Groq, and open-source models for domain-specific tasks - End-to-end AI pipelines: from raw data ingestion (PDF, Excel) to vectorization, retrieval, and API delivery Results I've delivered: - Built a healthcare GraphRAG assistant that processes 100MB+ clinical documents and analyzes node relationships in under 3 minutes — shipped in 1 month - Contributed to an AI brand monitoring platform that helped acquire 10 paid clients within 2 months of launch - Delivered a banking LLM chatbot achieving 80% accuracy within a 1-month development window - Achieved 92% license plate recognition accuracy on a constrained dataset of only 300 images for a Panasonic parking system Beyond execution, I actively track the latest SOTA research, reading recently published papers and integrating cutting-edge approaches directly into production systems. Your project benefits not just from solid engineering, but from knowledge of what actually works in practice right now. I'm always ready to connect. Please don't hesitate to message me.

  • Artificial Neural Network
  • Data Science
  • Python
  • Machine Learning
  • R
  • SQL
  • ChatGPT
  • Microsoft Excel PowerPivot
  • Data Analysis
  • ETL Pipeline
  • Database
  • Data Visualization
  • Microsoft Excel
  • Vision-Language Model
  • Artificial Intelligence
  • Data Warehousing & ETL Software
  • Microsoft Power BI
Bryony M.

Bath, United Kingdom

$70/hr
4.8
129 jobs

Data Visualisation Consultant specialising in d3.js with a passion for bringing data to life with this fantastic tool. * React, Angular, Typescript, web apps. * Available at any stage in the project - from raw data through to fully developed Figma design. * UK based * 100% commitment and 100% quality * keeping Upwork customers happy since 2016

  • D3.js
  • Interactive Data Visualization
  • Data Visualization
  • Storytelling
  • JavaScript
  • HTML
  • CSS
  • React
  • TypeScript
  • Jest
  • Data Analytics
  • Angular
  • Web Development
  • Business Intelligence
  • Data Modeling
Aliya S.

Gilgit, Pakistan

$10/hr
5.0
3 jobs

Data Scientist | Data Engineer | Business Intelligence Analyst | Power BI & Looker Studio Expert I help businesses transform raw data into strategic insights through end-to-end data solutions — from engineering robust data pipelines to building executive-level BI dashboards that drive real decisions. With hands-on experience across the full data stack, I specialize in: ► DATA SCIENCE & ANALYTICS • Predictive modeling, machine learning, and statistical analysis using Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) • Data preprocessing, feature engineering, and exploratory data analysis (EDA) • KPI metric development and performance tracking • SPSS, R for advanced statistical reporting ► BUSINESS INTELLIGENCE & DASHBOARDS • Power BI: interactive dashboards, DAX measures, data modeling, report automation • Looker Studio (Google Data Studio): connected reports, custom visualizations, GA4 integration • Tableau: visual analytics and storytelling • Excel: pivot tables, Power Query, advanced formulas ► DATA ENGINEERING & PIPELINES • SQL: complex queries, stored procedures, joins, window functions (MySQL, PostgreSQL) • ETL pipeline design and data transformation workflows • Database design and data warehouse concepts • API data ingestion and automation (Python, Zapier) ► TOOLS & PLATFORMS • Python | SQL | Power BI | Looker Studio | Tableau | Excel | SPSS | R • Google BigQuery | Pandas | NumPy | Scikit-learn • Alteryx | Openpyxl | Zapier | Google Sheets Whether you need a one-time analysis, a recurring automated report, a predictive model, or a full BI dashboard — I deliver clean, documented, and scalable solutions on time. Let's connect and turn your data into your competitive advantage.

  • Data Analytics
  • Data Science
  • Data Analysis
  • Python
  • Predictive Analytics
  • SQL
  • Microsoft Power BI
  • Microsoft Power BI Development
  • Microsoft Excel
  • Looker Studio
  • Business Intelligence
  • Data Visualization
  • Tableau
  • IBM SPSS
  • Machine Learning
  • KPI Metric Development
  • Data Preprocessing
  • ETL Pipeline
  • BigQuery
  • Statistical Analysis
Aleksei A.

Novi Sad, Serbia

$15/hr
5.0
2 jobs

📊 📊 10+ years of experience. Clean data. Dashboards that get used. Pipelines that don't break. I help startups and small businesses turn raw, messy data into clear insights and automated systems - so leadership can make faster, better decisions without drowning in spreadsheets. I cover the full analytics stack: from defining the right metrics and structuring data, to building reliable ETL pipelines, interactive dashboards, and ML models that drive real business outcomes. 💬 "Highly professional, technically strong, and reliable... His expertise in Apache Superset, Airflow, and data visualization was evident from day one. He helped to structure workflows efficiently and built meaningful dashboards." — Upwork Client 🔧 WHAT I DO 📈 Dashboards & BI — Interactive dashboards in Superset, Tableau, Metabase and Looker Studio. Built 40+ dashboards for product, ops, finance and marketing teams at VK and beyond. 🔄 ETL & Data Pipelines — End-to-end pipelines with Apache Airflow and Python. Automated ingestion, transformation, alerting and data quality monitoring. 🗄️ Data Engineering — ClickHouse data mart design (MergeTree, AggregatingMergeTree, Materialized Views), schema design, query optimization, and data quality monitoring dashboards. Experience reviewing and integrating ETL scripts from product teams into production pipelines. 🤖 Telegram Bots & Automation — Building production-grade Telegram bots with aiogram, automated workflows, scheduled pipelines, and Python-based process automation. From simple notification bots to complex multi-service systems. 🧹 Data Cleaning & Transformation — SQL and Python (Pandas) to turn messy exports into analysis-ready datasets. 📊 ML & Predictive Modeling — Scoring models, clustering, regression and forecasting. Built and deployed models in production at Credit Bank of Moscow and VK. 🔍 Ad-hoc Analysis & Reporting — Deep-dive analysis, A/B testing, funnel analysis, cohort analysis and weekly performance reports. 🧠 AI & LLM Workflows — Building production AI pipelines with GPT-4o-mini, LangChain, RAG systems, and vector search. Claude and GPT are part of my daily workflow — making delivery faster and cleaner. 🚀 FEATURED PROJECT — Telegram News Aggregator (Production) Built a fully automated news intelligence platform that collects, processes, and distributes content from 500+ Telegram channels across 4 languages. Hourly ETL pipeline collecting ~1,000 posts/day with AI-generated summaries and automated Telegram distribution Hybrid search (full-text + vector RAG) via FastAPI with multi-LLM response aggregation Telegram Mini App (React + TypeScript) for end-user content discovery BI analytics layer in Apache Superset over PostgreSQL 12 interconnected microservices orchestrated via Airflow (CeleryExecutor) Multi-threaded LLM processing with API key rotation — 3-5x speed improvement Diagnosed and fixed production PostgreSQL connection exhaustion incident Stack: Python · Airflow · PostgreSQL · GPT-4o-mini · LangChain · Weaviate · Elasticsearch · FastAPI · Docker · Redis · aiogram · Superset 🛠 TOOLS & STACK BI & Visualization: Apache Superset · Tableau · Metabase · Looker Studio · Dash Data & SQL: ClickHouse · PostgreSQL · MS SQL Python: Pandas · NumPy · Scikit-learn · CatBoost · aiogram · FastAPI Pipelines: Apache Airflow · Docker · Git · Redis AI & LLM: Claude API · GPT-4o · LangChain · Weaviate · Elasticsearch ML: Logistic Regression · CatBoost · Clustering · Forecasting Bots & Automation: Telegram Bot API · aiogram · Python automation scripts 🎯 MY PROCESS Understand your business goal → Define the right metrics → Clean and structure the data → Build reliable, scalable output → Hand over with documentation. No overengineering. No scope creep. Clean work, clear communication, fast turnaround. 📩 Send me your project — I'll come back with a clear plan and realistic timeline.

  • Data Analysis
  • SQL
  • Python
  • Git
  • LLM Prompt
  • Big Data
  • Tableau
  • Apache Superset
  • Apache Airflow
  • ClickHouse
  • Machine Learning

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Don't just take our word for it

What does a Plotly developer do?

A Plotly developer builds interactive data visualizations and web-based dashboards using the Plotly library ecosystem. This role focuses on transforming raw datasets into dynamic charts that respond to user input rather than creating static images. You will write code to define chart structures and connect them to backend logic for real-time updates. The work requires deep familiarity with Python or JavaScript frameworks that support declarative graphing.

  • Create Plotly figures by defining traces for data series and configuring layout attributes such as axes, titles, and annotations. You will use tools like plotly.express for rapid prototyping or plotly.graph_objects for granular control over every visual element. This process involves serializing figure data into JSON formats that Plotly.js can render in web browsers. Your code must handle complex data transformations to ensure the visualization accurately reflects the underlying metrics.
  • Develop Dash applications that wrap Plotly visuals in interactive web interfaces with functional UI components. You will register Python callbacks to trigger figure updates when users click, hover, or select specific data points. This workflow connects front-end user actions to back-end data processing logic without requiring extensive JavaScript knowledge. The resulting app allows stakeholders to explore data trends through direct manipulation of the chart elements.
  • Embed Dash apps into existing web platforms or enterprise surfaces using Plotly-provided embedding middleware. You will configure the integration to ensure the dashboard renders correctly within the host application’s framework. This task often involves adjusting CSS styles and managing state between the embedded component and the parent page. You will also document how figure configurations map to specific interactivity behaviors for future maintenance.

How to hire a Plotly developer on Upwork

Step 1: Post a job

Define your visualization requirements clearly to attract specialists who build interactive charts and Dash applications. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description from a few sentences about your data needs. You can write a new post, update a saved draft, or reuse an existing post to start hiring immediately.

  • Specify whether you need Plotly.py for Python-based analytics or Plotly.js for JavaScript integration to match your tech stack.
  • List required deliverables such as interactive Dash apps with callbacks or standalone graph_objects figures for embedding.
  • Include details about data sources and expected interactivity like hover tooltips or click-driven updates to filter candidate expertise.

Step 2: Evaluate candidates

Review portfolios for live examples of interactive dashboards that demonstrate clean layout design and responsive user interactions. Uma can run instant video interviews and build shortlists with side-by-side comparisons to help you identify strong technical fits quickly.

  • Look for GitHub repositories or live links showing complex trace configurations and custom axis formatting in Plotly figures.
  • Check for Dash applications that use Python callbacks to update visuals dynamically based on user input or data changes.
  • Verify experience with embedding middleware if you need to integrate Dash apps into existing web platforms or enterprise surfaces.

Step 3: Interview your top choices

Discuss specific approaches to data transformation and figure construction to assess their problem-solving process. Schedule and conduct interviews within Upwork Messages to receive an immediate transcript and summary after each conversation.

  • Ask how they structure graph_objects Figures to maintain code readability when managing multiple traces and layout attributes.
  • Request examples of how they optimize Dash app performance when handling large datasets or frequent callback triggers.
  • Discuss their method for customizing chart appearance using Plotly attributes to meet specific branding or usability standards.

Step 4: Agree on scope and begin work

Set clear milestones for building figures, developing callbacks, and embedding final applications into your host environment. Use Upwork Messages and the contract workroom for communication and project management while identity verification, payment protection, hourly tracking, and project funds secure the engagement.

  • Define acceptance criteria for interactive elements such as hover annotations and click events to ensure functional accuracy.
  • Break the project into phases like initial figure creation, callback logic implementation, and final UI polishing for manageable delivery.
  • Agree on documentation standards for figure configuration and callback mapping to support future maintenance and updates.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a Plotly developer cost?

$500-$1,500 per project is a typical range for focused Plotly developer work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

Static chart configuration

$500-$1,200/project

Entry-level to mid-level
  • Configured traces and layout attributes for specific datasets
  • Customized axes, annotations, and hover templates
  • Serialized JSON or static image files for integration

Interactive dashboard build

$1,200-$2,500/project

Mid-level
  • Assembled Dash app layout with UI components
  • Registered Python functions to update figures on user interaction
  • Zipped application code and dependency list

Embedded visualization integration

$2,500-$4,500/project

Mid-level to senior-level
  • Configured Plotly embedding tools for host application compatibility
  • Connected Dash app endpoints to external web surfaces
  • Tested cross-platform rendering and interactivity

Complex data app development

$4,500-$7,000/project

Senior-level
  • Built multi-input dependent figure updates and state management
  • Optimized data serialization and graph object manipulation
  • Technical guide for maintaining callback logic and figure structures

Enterprise visualization system

$7,000-$12,000/project

Expert-level
  • Authored modular graph_objects Figure builders for consistent styling
  • Designed scalable Dash app structure for large-scale data handling
  • Deployed embedded apps across multiple enterprise platforms

Frequently asked questions

Is hiring a Plotly developer worth it?

For most businesses, yes: hiring a Plotly developer is worthwhile. These specialists build interactive charts and Dash applications that turn static data into explorable web interfaces. You gain custom visualization logic and callback-driven interactivity that off-the-shelf reporting tools often cannot match.

How do I evaluate Plotly developer candidates?

Review code samples that show how candidates structure graph_objects Figures and define Dash callbacks for user interactions. Look for clean separation between data processing, figure construction, and UI layout in their Dash apps. A strong candidate explains why they chose Plotly Express versus lower-level graph objects for a specific chart type.

What is the difference between Plotly Express and graph_objects?

Plotly Express offers a high-level interface for rapid chart creation with sensible defaults. graph_objects gives you full control over every trace and layout attribute for complex customizations.

Can Plotly dashboards integrate with existing web applications?

Yes, developers embed Dash apps into other platforms using Plotly embedding middleware. This approach lets you add interactive data visuals to existing enterprise surfaces without rebuilding the entire host application.