Rapid AI App Development
AI App Deployment
Analytical Dash apps are the human interface layer for data, analytics, AI, and ML. Our clients choose Plotly for delivering AI app because we're unbeatable in 3 core areas:
⏱Speed and efficiency of delivery: Our customers are consistently blown away by our beautiful and responsive analytical apps delivered in days, not months.
📚Expertise: We have worked on hundreds of projects in the finance, tech, oil & gas, manufacturing, and government sectors. Your project can’t be in better hands.
🏆Future Proof: We use open-source technologies and utilize frameworks like Python and R that data scientists already use and understand.
Sponsored Features
Over the last 7 years, organizations have stepped up to sponsor mission-critical features in our open-source and enterprise products. Here are some of our favorites.
Plotly.js OSS
A high-level, declarative charting library, Plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. It serves as the baseline for Dash. See what’s available for sponsorship!
Dash OSS
Downloaded over 350,000 times per month, Dash is the most downloaded, trusted framework for building ML & data science web apps. Check out OSS features for sponsorship!
Dash Enterprise
A Kubernetes platform for rapid Dash app development. Operationalize data science, AI, and ML models and deliver your AI or ML initiative at scale.
Meet some of our experts!
Chris Parmer
As the creator of Dash, Chris leads development efforts to make the framework the easiest, fastest language-agnostic way to build, test, and deploy interactive analytic applications. As data science teams become a standard, Chris wants to ensure that even the most advanced analytics insights are accessible by everyone—whether or not they know how to code.
Alex Johnson, PhD
Alex is the instigator and architect of Plotly.js, Plotly’s D3-based, JavaScript data visualization library. Alex gets involved in the most challenging projects at Plotly, internally or externally through Plotly's Consulting & Training. Alex has a PhD from Harvard University in Quantum Physics and has consulted for Microsoft Research and the Center for Quantum Devices at the Niels Bohr Institute.
Nicolas Kruchten
Nicolas leads Plotly's Graphing Libraries group. He is the author of the Plotly Express, react-pivottable and PivotTable.js data analysis tools. He studied Engineering at the University of Toronto, and previously worked in travel demand modelling, econometrics, telecommunications, ad technology and healthcare analytics.
Jon Mease
Jon is experienced across a wide range of technical domains, programming languages, data visualization techniques, and data science technologies. He holds a Master’s Degree in Computer Science from Johns Hopkins University and has been a major R&D contributor to Plotly’s PyData ecosystem with his work on NVIDIA RAPIDS, Plotly Python and JavaScript libraries, pandas, Dask, and Datashader.
Ben Postlethwaite
Ben leads Plotly’s Technical Sales, Solutions and Success department. As Plotly’s first software development hire, he has cultivated a thorough understanding of the data visualization industry, the organization, its products, and their architecture. Ben holds a Master’s degree from the University of British Columbia. His background in Geophysics provides a unique lens for supporting major technical architecture initiatives of Fortune 500 customers.
Xing Han Lu
Xing Han Lu is the Lead AI/ML Engineer at Plotly. He created Dash Cytoscape, an open-source network visualization component. Previously, he worked for Deloitte, where he specialized in summarization engines. He has also led IMIA Conference & AAAI Workshop papers for the McGill Clinical and Health Informatics lab. Some of his projects can be found on Kaggle, where he is a Kernels Grandmaster.
Recent Projects
We’re here to help.
Does your product have an ancient charting tool that needs to be replaced? Would you like to upskill your ML and data science team through a remote Dash workshop? Are your end users asking for more advanced data visualization? Let's talk!