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.
knowl·edge
/ˈnäləj/
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.
Plotly Timeline
2014
MHS Capital leads Series-A investment round
2016
Plotly holds Plotcon and previews Dash
2018
Vanedge Capital and In-Q-Tel lead Series-B investment round to fuel Plotly’s growth
2013
Jack, Chris, Matthew and Alex found Plotly and officially open our Montreal headquarters
First release of plotly.py Graphing Library
2015
Plotly’s Python and R interactive graphing libraries become the highest downloaded
Plotly launches first open-source enterprise product in the data science space, making our core technology, Plotly.js free and accessible under the MIT license. Learn more
2017
Plotly launches Dash Learn More
Plotly’s charting libraries top 10M downloads and 2M site visitors per month
2019
Sales and marketing executives join Plotly from US giants MathWorks & SAS & Tableau
Plotly expands Montreal office and opens second office in Boston, MA
Plotly releases Plotly.express, enabling users to create interactive graphs in a single line of code Learn More
Dash 1.0.0 Released! Learn More
Plotly releases Dash for R, providing the full Dash OS and Enterprise offering for R programmers Learn More
plotly.py 4.0.0 Released! Learn More
Plotly In The Wild
50M+
Plotly users
12,500
GitHub stars
350K
Monthly Dash downloads
4M
Downloads of Plotly open source libraries
Our Leadership Team
Jack Parmer
Co-founder & Chief Executive Officer
Chris Parmer
Co-founder & Chief Product Officer
Alex Johnson
Co-founder & Chief Technology Officer
Gary Young
Senior Vice President, Sales
Derek Nogiec
VP Business Development & Strategic Alliances
Alexandre Bernier
VP Finance
Ben Postlethwaite
Chief Solutions Architect
Laura Gray
Head of People and Operations
Our Supporters
Grant Supporters
Advisors
Fernando Perez
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.
Jon Mease
Jon is a data scientist and software developer at the Johns Hopkins Applied Physics Laboratory. He has interest and experience across a range of technical domains, programming languages, data visualization techniques, and data science technologies. Jon holds bachelors’ degrees in Physics and Mathematics from Millersville University and a master’s degree in Computer Science from Johns Hopkins University. Jon has contributed to a variety of technologies in the PyData ecosystem including the Plotly Python and JavaScript libraries, pandas, Dask, and Datashader.
Matthew Sundquist
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.