Plotly
Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript and REST.
History
Plotly was founded by Alex Johnson, Jack Parmer, Chris Parmer, and Matthew Sundquist.The founders' backgrounds are in science, energy, and data analysis and visualization. Early employees include Christophe Viau, a Canadian software engineer and Ben Postlethwaite, a Canadian geophysicist. Plotly was named one of the Top 20 Hottest Innovative Companies in Canada by the Canadian Innovation Exchange. Plotly was featured in "startup row" at PyCon 2013, and sponsored the SciPy 2018 conference.
Plotly raised $5.5 million during its Series A funding, led by MHS Capital, Siemens Venture Capital, Rho Ventures, Real Ventures, and Silicon Valley Bank.
The Boston Globe and Washington Post newsrooms have produced data journalism using Plotly. In 2020, Plotly was named a Best Place to Work by the Canadian SME National Business Awards, and nominated as Business of the Year.
Products
Plotly offers open-source and enterprise products.- Dash is an open-source Python, R, and Julia framework for building web-based analytic 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.
- Dash Enterprise is Plotly's paid product for building, testing, deploying, managing and scaling Dash applications organization-wide.
- 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. 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.
- Data visualization libraries Plotly.js is an open-source JavaScript library for creating graphs and powers Plotly.py for Python, as well as Plotly.R for R, MATLAB, Node.js, Julia, and Arduino and a REST API. Plotly can also be used to style interactive graphs with Jupyter notebook.
- Figure converters which convert matplotlib, ggplot2, and IGOR Pro graphs into interactive, online graphs.
Data visualization libraries
Plotly provides a collection of supported chart types across several programming languages:| Chart Type | Chart name | JavaScript | Python | R | Julia |
| 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
Dash is a Python framework built on top of React, a JavaScript library. 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 of Dash was built to be lightweight and stateless multiple back-end languages to coexist on an equal footing". It is possible to integrate D3.js charts as Dash components. Dash provides the default CSS, but for custom styling Dash applications CSS can be added, or Dash Enterprise used.Dash Enterprise
Dash Enterprise is Plotly's paid product for building, testing, deploying, managing and scaling Dash applications organization-wide. The product integrates with enterprise IT systems to enable organizations to build, deploy and scale low-code Dash applications. With open-source Dash, analytic applications can be run from a local machine, but cannot be easily accessed by others in the organization.Enterprise IT integration
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.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.
Dash Enterprise connects to major big data backends, including Salesforce, PostgreSQL, Databricks via PySpark, Snowflake, Dask, Datashader, and Vaex. In 2020, Plotly partnered with NVIDIA to integrate Dash with RAPIDS, and NVIDIA participated in Plotly's Series C funding round.
Low-code capabilities
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. 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.Deployment and scaling
Dash application code is deployed to Dash Enterprise using the git-push command. Dash application deployments are containerized to avoid dependency conflicts, and can be embedded in existing web platforms without iframes.Deployed applications can be managed and accessed in a single portal called App Manager, where administrators can control user authentication and view usage analytics.
Dash Enterprise scales horizontally with Kubernetes. Jobs queuing, GPU acceleration, and CPU parallelization support high performance computing requirements.
Plotly also offers professional services for application development and workshop training.