This was the seed that started Plotly.
When we first started developing our technology, the tools for scientific and data analysis simply were not keeping pace with business needs. In our quest to make data and knowledge sharing more accessible, we focused on promoting the use of technology in these ways:
Use the web as a data science platform.
We focused on the most commonly used platform to enable sharing of complex data and models. By making it easy for data scientists to create, design, and build web interfaces for complex data and models, end users could interface with data interactively and online in any web browser.
Power discovery with open source.
We are firm believers in the power of the open source community and the innovation that results from sharing and community development. For data science to keep pace with business needs, we focused on developing a core technology that is open-source and free, enabling greater sharing and faster innovation.
Provide unlimited flexibility.
As global coding literacy has increased, particularly the growth of Python and R, code-based analyses are supplanting that of point-and-click software for everything from data analysis and exploration to complex AI and Machine Learning models. Our solution would build on these flexible coding environments and enable businesses to go farther, faster.
Remove language as a barrier.
Language agnostic coding tools prevent duplicate effort and accelerate innovation. We aim to create software that enables developers, data scientists, and quants everywhere to use the coding tools of their choice.
Enable shared goals across the organization.
Business groups, Data Science, and Tech teams need to align and have a common language and data platform. At Plotly, we develop software that’s designed to enable data scientists, analysts and technical teams to work hand-in-hand with business teams, giving everyone in a company direct access to data and models.
facts, information, and skills acquired by a person through experience or education; the theoretical or practical understanding of a subject.
what is known in a particular field or in total; facts and information.
We believe that knowledge makes the world a better place.
We also believe that knowledge is built through sharing, transparency and accessibility. That it is born out of dialog and debate on a level playing field.
Therefore, we focus on making it possible for everyone to share data, facts and information in order to broaden the scope of understanding. To democratize the data.
Free the data. Deliver knowledge.
MHS Capital leads Series-A investment round
Plotly holds Plotcon and previews Dash
Vanedge Capital and In-Q-Tel lead Series-B investment round to fuel Plotly’s growth
Plotly In The Wild
Monthly Dash downloads
Downloads of Plotly open source libraries
Our Leadership Team
Co-founder & Chief Executive Officer
Co-founder & Chief Product Officer
Co-founder & Chief Technology Officer
EVP Sales & Alliances
VP Business Development & Strategic Alliances
Chief Solutions Architect
Head of People and Operations
Fernando Perez is the creator of IPython and Project Jupyter and he also serves as assistant professor in Statistics at UC Berkeley and a Faculty Scientist in the Department of Data Science and Technology at Lawrence Berkeley National Laboratory. He is a National Academy of Science Kavli Frontiers of Science Fellow and a Senior Fellow and founding co-investigator of the Berkeley Institute for Data Science. He is a co-founder of the NumFOCUS Foundation, and a member of the Python Software Foundation.
Matt Sundquist studied philosophy at Harvard College, where he was the student body president. Previously Matt has been a writer for SCOTUSblog.com, a Fulbright Scholar, and a Student Fellow at Harvard Law School. He worked as a Product Manager at Water.org and Change.org, and was on the Privacy Team at Facebook. He was previously the COO of Plotly, where he was a Co-Founder. He is now the General Manager of Fly Ranch, a 3,800 acre ranch in Nevada.