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Plotly

Company type	Private
Industry	Computer software
Founded	2012; 14 years ago (2012) inMontreal,Quebec
Founder	Alex Johnson Jack Parmer Chris Parmer Matthew Sundquist
Headquarters	Canada
Website	plotly.com

Plotly is a technical computing company headquartered inMontreal,Quebec, that develops onlinedata analytics andvisualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries forPython,R,MATLAB,Perl,Julia,Arduino,JavaScript^[1] andREST.

Plotly was founded by Alex Johnson, Jack Parmer, Chris Parmer, and Matthew Sundquist.^[2]

The founders' backgrounds are in science, energy, and data analysis and visualization.^[2] Early employees include Christophe Viau, a Canadian software engineer and Ben Postlethwaite, a Canadian geophysicist.^[3] Plotly was named one of the Top 20 Hottest Innovative Companies in Canada by the CanadianInnovation Exchange.^[4] Plotly was featured in "startup row" atPyCon 2013,^[5] and sponsored theSciPy 2018 conference.^[6]

Plotly raised $5.5 million during itsSeries A funding, led by MHS Capital,Siemens Venture Capital,Rho Ventures, Real Ventures, andSilicon Valley Bank.^[7]

The Boston Globe and Washington Post newsrooms have produced data journalism using Plotly.^[8][9] In 2020, Plotly was named a Best Place to Work by the Canadian SME National Business Awards, and nominated as Business of the Year.^[10]

Plotly offers open-source and enterprise products.

• Dash is an open-sourcePython,R, andJulia framework for buildingweb-basedanalytic applications. Many specialized open-source Dash libraries exist that are tailored for building domain-specific Dash components and applications. Some examples are Dash DAQ, for building data acquisition GUIs to use with scientific instruments, and Dash Bio, which enables users to build custom chart types, sequence analysis tools, and 3D rendering tools for bioinformatics applications.^[11]
• Dash Enterprise is Plotly's paid product for building, testing, deploying, managing and scaling Dash applications organization-wide.^[12]
• Chart Studio Cloud is a free, online tool for creating interactive graphs. It has a point-and-click graphical user interface for importing and analyzing data into a grid and using stats tools.^[13] Graphs can be embedded or downloaded.
• Chart Studio Enterprise is a paid product that allows teams to create, style, and share interactive graphs on a single platform. It offers expanded authentication and file export options, and does not limit sharing and viewing.^[14]
• Data visualization libraries Plotly.js is an open-source JavaScript library for creating graphs and powers Plotly.py forPython, as well as Plotly.R forR,MATLAB,Node.js,Julia, andArduino and aREST API.^{[15][16][17][18][19][20][21]} Plotly can also be used to style interactive graphs withJupyter notebook.^[22]
• Figure converters which convertmatplotlib,^[23]ggplot2,^[24] andIGOR Pro^[25] graphs into interactive, online graphs.

Plotly provides a collection of supported chart types across several programming languages:

Chart Type	Chart name	JavaScript[26]	Python[27]	R[28]	Julia[29]
Basic charts	Scatter plot
Basic charts	Line chart
Basic charts	Bar chart
Basic charts	Pie chart
Basic charts	Bubble chart
Basic charts	Dot plot
Basic charts	Filled area plot
Basic charts	Horizontal bar chart
Basic charts	Gantt chart
Basic charts	Sunburst chart
Basic charts	Sankey diagram
Basic charts	Point cloud
Basic charts	Treemap
Basic charts	Table
Basic charts	Dumbbell plot
AI and machine learning charts	ML regression
AI and machine learning charts	kNN classification
AI and machine learning charts	ROC and PR curves
AI and machine learning charts	PCA visualization
AI and machine learning charts	t-SNE and UMAP projections
Statistical charts	Box plot
Statistical charts	Histogram
Statistical charts	Distplot
Statistical charts	2D density plot
Statistical charts	2D histogram
Statistical charts	2D histogram contour
Statistical charts	Scatterplot matrix
Statistical charts	Facet and trellis plot
Statistical charts	Tree plot
Statistical charts	SPC control chart
Statistical charts	Violin plot
Statistical charts	Parallel categories diagram
Statistical charts	Splom
Statistical charts	Marginal distribution plot
Statistical charts	Strip chart
Scientific charts	Contour plot
Scientific charts	Heatmap
Scientific charts	Imshow
Scientific charts	Ternary plot
Scientific charts	Parallel coordinates plot
Scientific charts	Log plot
Scientific charts	Dendrogram
Scientific charts	Annotated heatmap
Scientific charts	WebGL heatmap
Scientific charts	Wind rose chart
Scientific charts	Ternary contour plot
Scientific charts	Ternary overlay
Scientific charts	Quiver plot
Scientific charts	Streamline plot
Scientific charts	Network graph
Scientific charts	Radar chart
Scientific charts	Carpet plot
Scientific charts	Carpet scatter plot
Scientific charts	Carpet contour plot
Scientific charts	Polar chart
Scientific charts	Image data display
Financial charts	Waterfall chart
Financial charts	Indicator
Financial charts	Candlestick chart
Financial charts	Funnel chart
Financial charts	Time series
Financial charts	OHLC chart
Financial charts	Gauge chart
Financial charts	Bullet chart
Maps	Mapbox map layers
Maps	Mapbox density heatmap
Maps	Mapbox choropleth map
Maps	Choropleth map
Maps	Lines on maps
Maps	Lines on Mapbox
Maps	Bubble maps
Maps	Scatter plots on maps
Maps	Scatter plots on Mapbox
Maps	Filled area on map
Maps	Mapbox hexbin
3D charts	3D scatter plot
3D charts	Ribbon plot
3D charts	3D surface plot
3D charts	3D mesh plot
3D charts	3D line plot
3D charts	Tri-surf plot
3D charts	3D cluster graph
3D charts	3D cone plot
3D charts	3D streamtube plot
3D charts	3D isosurface plot
3D charts	3D bubble chart
3D charts	3D volume plot
Subplots	Subplots
Multiple Axes	Multiple Axes

Dash is a Python framework built on top ofReact, a JavaScript library.^[30] But Dash also works for R, and most recently supports Julia, and while still described a Python framework, Python isn't used for the other languages, "describing Dash as a Python framework misses a key feature of its design: the Python side (the back end/server) of Dash was built to be lightweight and stateless [allowing] multiple back-end languages to coexist on an equal footing".^[31] It is possible to integrateD3.js charts as Dash components.^[32] Dash provides the default CSS (and HTML and JavaScript, and you can add your own), but for custom styling Dash applications CSS can be added, or Dash Enterprise used.^[33]

Dash Enterprise is Plotly's paid product for building, testing, deploying, managing and scaling Dash applications organization-wide.^[34] The product integrates with enterprise IT systems to enable organizations to build, deploy and scale low-code Dash applications.^[35] With open-source Dash, analytic applications can be run from a local machine, but cannot be easily accessed by others in the organization.^[36]

Dash Enterprise installs on cloud environments and on-premises. Amazon Web Services, Google Cloud Platform, and Microsoft Azure are supported, as are multiple Linux on-premises servers.^[37]Authentication integrations include LDAP, AD, PKI, Okta, SAML, OAuth2, SSO, and email authentication, and Dash application access is managed through a GUI rather than code.^[38]Dash Enterprise connects to major big data backends, including Salesforce, PostgreSQL, Databricks via PySpark, Snowflake, Dask, Datashader, and Vaex.^[39] In 2020, Plotly partnered with NVIDIA to integrate Dash with RAPIDS,^[40] and NVIDIA participated in Plotly's Series C funding round.

Dash Enterprise enables low-code development of Dash applications, which is not possible with open-source Dash. Enterprise users can write applications in multiple development environments, including Jupyter Notebook.^[41] Dash Enterprise ships with several “development engines” for drag-and-drop application editing, application design, and automated reporting, as well as dozens of artificial intelligence and machine learning application templates.^{[42][43][44][45]}

Dash application code is deployed to Dash Enterprise using thegit-push command. Dash application deployments arecontainerized to avoid dependency conflicts, and can be embedded in existing web platforms withoutiframes.^[46][47]Deployed applications can be managed and accessed in a single portal called App Manager, where administrators can control user authentication and view usage analytics.^[48][49]Dash Enterprise scales horizontally withKubernetes.^[50] Jobs queuing,GPU acceleration, andCPU parallelization supporthigh performance computing requirements.^[51] Plotly also offersprofessional services for application development and workshop training.

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