Are you over 18 and want to see adult content?
More Annotations
A complete backup of https://tulumruins.net
Are you over 18 and want to see adult content?
A complete backup of https://indiaforums.com
Are you over 18 and want to see adult content?
A complete backup of https://pishposhbaby.com
Are you over 18 and want to see adult content?
A complete backup of https://trello.com
Are you over 18 and want to see adult content?
A complete backup of https://catalunyaenminiatura.com
Are you over 18 and want to see adult content?
A complete backup of https://beckham-fragrances.com
Are you over 18 and want to see adult content?
A complete backup of https://theoldrobots.com
Are you over 18 and want to see adult content?
A complete backup of https://escop.com
Are you over 18 and want to see adult content?
A complete backup of https://news10.net
Are you over 18 and want to see adult content?
A complete backup of https://literarydevices.net
Are you over 18 and want to see adult content?
A complete backup of https://snacc.org
Are you over 18 and want to see adult content?
Favourite Annotations
Recipes - Easy Food Recipes & Cooking Tips at the CookEatShare Network
Are you over 18 and want to see adult content?
Tienda de pesca Bazar Las Palmeras
Are you over 18 and want to see adult content?
Art market, auction sales and artist鈥檚 prices and indices - Artprice, the world leader of art market information.
Are you over 18 and want to see adult content?
袦械谐邪褎芯薪 谢懈褔薪褘泄 泻邪斜懈薪械褌 鈥 胁褏芯写 鈥 锌芯 薪芯屑械褉褍 褌械谢械褎芯薪邪 lk.megafon.ru
Are you over 18 and want to see adult content?
Your Gift - Heirloom Films and Storybooks
Are you over 18 and want to see adult content?
Text
DCC.MARKDOWN
n_clicks_timestamp (number; default -1): An integer that represents the time (in ms since 1970) at which n_clicks changed. This can be used to tell which button was changed most recently. name (string; optional): Name of the element. For example used by the server to identify the fields in form submits. role (string; optional): The ARIArole
DCC.SLIDER | DASH FOR PYTHON DOCUMENTATION | PLOTLY Create a logarithmic slider by setting the labels of the marks property to be logarithmic and adjusting the slider鈥檚 output value in the callbacks. The updatemode property allows us to determine when we want a callback to be triggered. The following example has updatemode='drag' which means a callback is triggered everytime the handle is moved. The default setting is mouseup which triggers DCC.UPLOAD | DASH FOR PYTHON DOCUMENTATION | PLOTLY Official examples and reference documentation for dcc.Upload. dcc.Upload is a dash_core_components component. DCC.STORE | DASH FOR PYTHON DOCUMENTATION | PLOTLY Official examples and reference documentation for dcc.Store. dcc.Store is a dash_core_components component.DCC.DROPDOWN
Official examples and reference documentation for dcc.Dropdown. dcc.Dropdown is a dash_core_components component. CLIENTSIDE CALLBACKS A simple example. Below are two examples of using clientside callbacks to update a graph in conjunction with a dcc.Store component. In these examples, we update a dcc.Store component on the backend; to create and display the graph, we have a clientside callback in the PLOTLY: THE FRONT END FOR ML AND DATA SCIENCE MODELSABOUT USCAREERSPRESS & NEWSRESOURCESCONTACT USPYTHON 馃捇 Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more.. 馃悕 Work in the languages you love: Python, R, and Julia.. 馃挼 Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. PLOTLY PYTHON GRAPHING LIBRARY Write, deploy, & scale Dash apps and Python data visualization on a Kubernetes Dash Enterprise cluster. Get Pricing | Demo Dash Enterprise | Dash Enterprise Overview TEXT AND ANNOTATIONS Adding Text to Figures露. As a general rule, there are two ways to add text labels to figures: Certain trace types, notably in the scatter family (e.g. scatter, scatter3d, scattergeo etc), support a text attribute, and can be displayed with or without markers.; Standalone text annotations can be added to figures using fig.add_annotation(), with or without arrows, and they can be positioned PLOTLY.EXPRESS.SCATTER_MAPBOX plotly.express. .scatter_mapbox. 露. In a Mapbox scatter plot, each row of data_frame is represented by a symbol mark on a Mapbox map. data_frame ( DataFrame or array-like or dict) 鈥 This argument needs to be passed for column names (and not keyword names) to be used. Array-like and dict are tranformed internally to a pandas DataFrame.DCC.MARKDOWN
n_clicks_timestamp (number; default -1): An integer that represents the time (in ms since 1970) at which n_clicks changed. This can be used to tell which button was changed most recently. name (string; optional): Name of the element. For example used by the server to identify the fields in form submits. role (string; optional): The ARIArole
DCC.SLIDER | DASH FOR PYTHON DOCUMENTATION | PLOTLY Create a logarithmic slider by setting the labels of the marks property to be logarithmic and adjusting the slider鈥檚 output value in the callbacks. The updatemode property allows us to determine when we want a callback to be triggered. The following example has updatemode='drag' which means a callback is triggered everytime the handle is moved. The default setting is mouseup which triggers DCC.UPLOAD | DASH FOR PYTHON DOCUMENTATION | PLOTLY Official examples and reference documentation for dcc.Upload. dcc.Upload is a dash_core_components component. DCC.STORE | DASH FOR PYTHON DOCUMENTATION | PLOTLY Official examples and reference documentation for dcc.Store. dcc.Store is a dash_core_components component.DCC.DROPDOWN
Official examples and reference documentation for dcc.Dropdown. dcc.Dropdown is a dash_core_components component. TEXT AND ANNOTATIONS Adding Text to Figures露. As a general rule, there are two ways to add text labels to figures: Certain trace types, notably in the scatter family (e.g. scatter, scatter3d, scattergeo etc), support a text attribute, and can be displayed with or without markers.; Standalone text annotations can be added to figures using fig.add_annotation(), with or without arrows, and they can be positionedFORMATTING TICKS
Dynamic tickmode in Dash露. Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py. Get started with the official Dash docs and learn how to effortlesslyDISCRETE COLORS
Discrete Color with Plotly Express露. Most Plotly Express functions accept a color argument which automatically assigns data values to discrete colors if the data is non-numeric. If the data is numeric, the color will automatically be considered continuous. PLOTLY | MAKE CHARTS AND DASHBOARDS ONLINE Make charts and dashboards online from CSV or Excel data. Create interactive D3.js charts, reports, and dashboards online. API clientsfor R and Python.
PLOTLY.EXPRESS.SCATTER plotly.express .scatter 露. plotly.express. .scatter. 露. In a scatter plot, each row of data_frame is represented by a symbol mark in 2D space. data_frame ( DataFrame or array-like or dict) 鈥 This argument needs to be passed for column names (and not keyword names) to be used. Array-like and dict are tranformed internally to a pandasDataFrame.
PLOTLY.GRAPH_OBJECTS.SCATTERMAPBOX Returns. Return type. plotly.graph_objects.scattermapbox.hoverlabel.Font. property namelength 露. Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, willDASH DATATABLE
`dash_table.DataTable` is an interactive table that supports rich styling, conditional formatting, editing, sorting, filtering, andmore.
DEV TOOLS | DASH FOR PYTHON DOCUMENTATION | PLOTLY App Manager. App Manager Overview Part 1. Preparing your App for Dash Enterprise Part 2. Initialize Dash Apps on Dash Enterprise Part 3. Deploy Dash Apps on Dash Enterprise Application Structure, Buildpacks, and Deployment Lifecycle Adding Static Assets Configuring System Dependencies Dash App Portal Admin Panel Linking a Redis DatabaseSetting
DCC.RANGESLIDER
Create a logarithmic slider by setting marks to be logarithmic and adjusting the slider鈥檚 output value in the callbacks. The updatemode property allows us to determine when we want a callback to be triggered. The following example has updatemode='drag' which means a callback is triggered everytime the handle is moved. Contrast the callback output with the first example on this page to seeDCC.DATEPICKERRANGE
This is a simple example of a DatePickerRange component tied to a callback. You can use either strings in the form YYYY-MM-DD or date objects from the datetime module to provide dates to Dash components. Strings are preferred because that鈥檚 the form PLOTLY: THE FRONT END FOR ML AND DATA SCIENCE MODELSABOUT USCAREERSPRESS & NEWSRESOURCESCONTACT USPYTHON Plotly creates & stewards the leading data viz & UI tools for ML, data science, engineering, and the sciences. Language support for Python, R, Julia, and JavaScript. PLOTLY PYTHON GRAPHING LIBRARY Write, deploy, & scale Dash apps and Python data visualization on a Kubernetes Dash Enterprise cluster. Get Pricing | Demo Dash Enterprise | Dash Enterprise Overview LEGENDS | PYTHON | PLOTLY Legends with Plotly Express露. Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.. Plotly Express functions will create one trace per animation frame for each unique combination of data values mapped to discrete color, symbol, line-dash, facet-row and/or facet-column.SCATTER PLOTS
Scatter plot with Plotly Express露. Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures. With px.scatter, each data point is represented as a marker point, whose location is given by the x and y columns. In : TEXT AND ANNOTATIONS Adding Text to Figures露. As a general rule, there are two ways to add text labels to figures: Certain trace types, notably in the scatter family (e.g. scatter, scatter3d, scattergeo etc), support a text attribute, and can be displayed with or without markers.; Standalone text annotations can be added to figures using fig.add_annotation(), with or without arrows, and they can be positioned BAR CHARTS | PYTHON | PLOTLY Bar chart in Dash露. Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py. Get started with the official Dash docs and learn how to effortlessly style & deploy apps like this with Dash Enterprise.FORMATTING TICKS
Dynamic tickmode in Dash露. Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py. Get started with the official Dash docs and learn how to effortlessly HOVER TEXT AND FORMATTING Plotly Express functions automatically add all the data being plotted (x, y, color etc) to the hover label. Many Plotly Express functions also support configurable hover text. The hover_data argument accepts a list of column names to be added to the hover tooltip, or aDISCRETE COLORS
Discrete Color with Plotly Express露. Most Plotly Express functions accept a color argument which automatically assigns data values to discrete colors if the data is non-numeric. If the data is numeric, the color will automatically be considered continuous.DCC.DROPDOWN
Official examples and reference documentation for dcc.Dropdown. dcc.Dropdown is a dash_core_components component. PLOTLY: THE FRONT END FOR ML AND DATA SCIENCE MODELSABOUT USCAREERSPRESS & NEWSRESOURCESCONTACT USPYTHON Plotly creates & stewards the leading data viz & UI tools for ML, data science, engineering, and the sciences. Language support for Python, R, Julia, and JavaScript. PLOTLY PYTHON GRAPHING LIBRARY Write, deploy, & scale Dash apps and Python data visualization on a Kubernetes Dash Enterprise cluster. Get Pricing | Demo Dash Enterprise | Dash Enterprise Overview LEGENDS | PYTHON | PLOTLY Legends with Plotly Express露. Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.. Plotly Express functions will create one trace per animation frame for each unique combination of data values mapped to discrete color, symbol, line-dash, facet-row and/or facet-column.SCATTER PLOTS
Scatter plot with Plotly Express露. Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures. With px.scatter, each data point is represented as a marker point, whose location is given by the x and y columns. In : TEXT AND ANNOTATIONS Adding Text to Figures露. As a general rule, there are two ways to add text labels to figures: Certain trace types, notably in the scatter family (e.g. scatter, scatter3d, scattergeo etc), support a text attribute, and can be displayed with or without markers.; Standalone text annotations can be added to figures using fig.add_annotation(), with or without arrows, and they can be positioned BAR CHARTS | PYTHON | PLOTLY Bar chart in Dash露. Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py. Get started with the official Dash docs and learn how to effortlessly style & deploy apps like this with Dash Enterprise.FORMATTING TICKS
Dynamic tickmode in Dash露. Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py. Get started with the official Dash docs and learn how to effortlessly HOVER TEXT AND FORMATTING Plotly Express functions automatically add all the data being plotted (x, y, color etc) to the hover label. Many Plotly Express functions also support configurable hover text. The hover_data argument accepts a list of column names to be added to the hover tooltip, or aDISCRETE COLORS
Discrete Color with Plotly Express露. Most Plotly Express functions accept a color argument which automatically assigns data values to discrete colors if the data is non-numeric. If the data is numeric, the color will automatically be considered continuous.DCC.DROPDOWN
Official examples and reference documentation for dcc.Dropdown. dcc.Dropdown is a dash_core_components component. PLOTLY: THE FRONT END FOR ML AND DATA SCIENCE MODELS 馃捇 Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more.. 馃悕 Work in the languages you love: Python, R, and Julia.. 馃挼 Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. PLOTLY PYTHON GRAPHING LIBRARY Write, deploy, & scale Dash apps and Python data visualization on a Kubernetes Dash Enterprise cluster. Get Pricing | Demo Dash Enterprise | Dash Enterprise OverviewSCATTER PLOTS
Scatter plot with Plotly Express露. Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures. With px.scatter, each data point is represented as a marker point, whose location is given by the x and y columns. In :FORMATTING TICKS
Dynamic tickmode in Dash露. Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py. Get started with the official Dash docs and learn how to effortlessly SURFACE MADE BY NAOKIPLOTLY Naokiplotly's interactive graph and data is a surface.IMCE VS IMCE-SM*
Guillermoa's interactive graph and data of "IMCE vs IMCE-SM*" is a line chart, showing IMCE vs IMCE-SM*. INDICATOR MADE BY GUILLERMOA Guillermoa's interactive graph and data is a indicator. JOBS (IN THOUSANDS) VS MONTH Kkplot's interactive graph and data of "Jobs (in thousands) vs Month" is a line chart, showing Manufacturing Jobs, Hospitality Jobs, Wholesale Jobs, Retail Jobs, Transportation Jobs, Construction Jobs, Education Health Services Jobs, Finance Jobs, Information Jobs, Mining Jobs, Other Services Jobs, Professional Services Jobs, Utilities Jobs; with Month in the x-axis and Jobs (in thousands) in UNEMPLOYMENT RATE IN THE DISTRICT OF COLUMBIAFROM MARCH Digvijayghotane's interactive graph and data of "Unemployment Rate in the District of ColumbiaFrom March 2018 to November 2020" is a linechart; with Date in
7-DAY AVERAGE DAILY POSITIVE TEST PERCENTAGE 7-day average daily positive test percentage | scatter Loading PLOTLY: THE FRONT END FOR ML AND DATA SCIENCE MODELSABOUT USCAREERSPRESS & NEWSRESOURCESCONTACT USPYTHON Plotly creates & stewards the leading data viz & UI tools for ML, data science, engineering, and the sciences. Language support for Python, R, Julia, and JavaScript. PLOTLY PYTHON GRAPHING LIBRARY Write, deploy, & scale Dash apps and Python data visualization on a Kubernetes Dash Enterprise cluster. Get Pricing | Demo Dash Enterprise | Dash Enterprise Overview LEGENDS | PYTHON | PLOTLY Legends with Plotly Express露. Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.. Plotly Express functions will create one trace per animation frame for each unique combination of data values mapped to discrete color, symbol, line-dash, facet-row and/or facet-column.FORMATTING TICKS
How to format axes ticks in Python with Plotly. Dynamic tickmode in Dash露. Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py.. Get started with the official Dash docs and learn how to effortlessly style & deploy apps like this with Dash Enterprise. TEXT AND ANNOTATIONS Adding Text to Figures露. As a general rule, there are two ways to add text labels to figures: Certain trace types, notably in the scatter family (e.g. scatter, scatter3d, scattergeo etc), support a text attribute, and can be displayed with or without markers.; Standalone text annotations can be added to figures using fig.add_annotation(), with or without arrows, and they can be positioned BAR CHARTS | PYTHON | PLOTLY Bar Chart with Sorted or Ordered Categories露. Set categoryorder to "category ascending" or "category descending" for the alphanumerical order of the category names or "total ascending" or "total descending" for numerical order of values.categoryorder for more information. Note that sorting the bars by a particular trace isn't possible right now - it's only possible to sort by the total values.SCATTER PLOTS
Scatter and line plot with go.Scatter露. If Plotly Express does not provide a good starting point, it is possible to use the more generic go.Scatter class from plotly.graph_objects.Whereas plotly.express has two functions scatter and line, go.Scatter can be used both for plotting points (makers) or lines, depending on the value of mode.The different options of go.Scatter are documented in its HOVER TEXT AND FORMATTING Hovermode x or y露. If layout.hovermode='x' (or 'y'), a single hover label appears per trace, for points at the same x (or y) value as the cursor.If multiple points in a given trace exist at the same coordinate, only one will get a hover label. In the line plot below we have forced markers to appear, to make it clearer what can be hovered over, and we have disabled the built-in Plotly ExpressDISCRETE COLORS
Discrete vs Continuous Color露. In the same way as the X or Y position of a mark in cartesian coordinates can be used to represent continuous values (i.e. amounts or moments in time) or categories (i.e. labels), color can be used to represent continuous or discrete data.DCC.DROPDOWN
Official examples and reference documentation for dcc.Dropdown. dcc.Dropdown is a dash_core_components component. PLOTLY: THE FRONT END FOR ML AND DATA SCIENCE MODELSABOUT USCAREERSPRESS & NEWSRESOURCESCONTACT USPYTHON Plotly creates & stewards the leading data viz & UI tools for ML, data science, engineering, and the sciences. Language support for Python, R, Julia, and JavaScript. PLOTLY PYTHON GRAPHING LIBRARY Write, deploy, & scale Dash apps and Python data visualization on a Kubernetes Dash Enterprise cluster. Get Pricing | Demo Dash Enterprise | Dash Enterprise Overview LEGENDS | PYTHON | PLOTLY Legends with Plotly Express露. Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.. Plotly Express functions will create one trace per animation frame for each unique combination of data values mapped to discrete color, symbol, line-dash, facet-row and/or facet-column.FORMATTING TICKS
How to format axes ticks in Python with Plotly. Dynamic tickmode in Dash露. Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py.. Get started with the official Dash docs and learn how to effortlessly style & deploy apps like this with Dash Enterprise. TEXT AND ANNOTATIONS Adding Text to Figures露. As a general rule, there are two ways to add text labels to figures: Certain trace types, notably in the scatter family (e.g. scatter, scatter3d, scattergeo etc), support a text attribute, and can be displayed with or without markers.; Standalone text annotations can be added to figures using fig.add_annotation(), with or without arrows, and they can be positioned BAR CHARTS | PYTHON | PLOTLY Bar Chart with Sorted or Ordered Categories露. Set categoryorder to "category ascending" or "category descending" for the alphanumerical order of the category names or "total ascending" or "total descending" for numerical order of values.categoryorder for more information. Note that sorting the bars by a particular trace isn't possible right now - it's only possible to sort by the total values.SCATTER PLOTS
Scatter and line plot with go.Scatter露. If Plotly Express does not provide a good starting point, it is possible to use the more generic go.Scatter class from plotly.graph_objects.Whereas plotly.express has two functions scatter and line, go.Scatter can be used both for plotting points (makers) or lines, depending on the value of mode.The different options of go.Scatter are documented in its HOVER TEXT AND FORMATTING Hovermode x or y露. If layout.hovermode='x' (or 'y'), a single hover label appears per trace, for points at the same x (or y) value as the cursor.If multiple points in a given trace exist at the same coordinate, only one will get a hover label. In the line plot below we have forced markers to appear, to make it clearer what can be hovered over, and we have disabled the built-in Plotly ExpressDISCRETE COLORS
Discrete vs Continuous Color露. In the same way as the X or Y position of a mark in cartesian coordinates can be used to represent continuous values (i.e. amounts or moments in time) or categories (i.e. labels), color can be used to represent continuous or discrete data.DCC.DROPDOWN
Official examples and reference documentation for dcc.Dropdown. dcc.Dropdown is a dash_core_components component. PLOTLY: THE FRONT END FOR ML AND DATA SCIENCE MODELS 馃捇 Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more.. 馃悕 Work in the languages you love: Python, R, and Julia.. 馃挼 Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. PLOTLY PYTHON GRAPHING LIBRARY Write, deploy, & scale Dash apps and Python data visualization on a Kubernetes Dash Enterprise cluster. Get Pricing | Demo Dash Enterprise | Dash Enterprise OverviewFORMATTING TICKS
How to format axes ticks in Python with Plotly. Dynamic tickmode in Dash露. Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash, click "Download" to get the code and run python app.py.. Get started with the official Dash docs and learn how to effortlessly style & deploy apps like this with Dash Enterprise.SCATTER PLOTS
Scatter and line plot with go.Scatter露. If Plotly Express does not provide a good starting point, it is possible to use the more generic go.Scatter class from plotly.graph_objects.Whereas plotly.express has two functions scatter and line, go.Scatter can be used both for plotting points (makers) or lines, depending on the value of mode.The different options of go.Scatter are documented in its SETTING THE FONT, TITLE, LEGEND ENTRIES, AND AXIS TITLES The configuration of the legend is discussed in detail in the Legends page.. Align Plot Title露. The following example shows how to align the plot title in layout.title. x sets the x position with respect to xref from "0" (left) to "1" (right), and y sets the y position with respect to yref from "0" (bottom) to "1" (top). Moreover, you can define xanchor to left,right, or center for setting SURFACE MADE BY NAOKIPLOTLY Naokiplotly's interactive graph and data is a surface.IMCE VS IMCE-SM*
Guillermoa's interactive graph and data of "IMCE vs IMCE-SM*" is a line chart, showing IMCE vs IMCE-SM*. JOBS (IN THOUSANDS) VS MONTH Kkplot's interactive graph and data of "Jobs (in thousands) vs Month" is a line chart, showing Manufacturing Jobs, Hospitality Jobs, Wholesale Jobs, Retail Jobs, Transportation Jobs, Construction Jobs, Education Health Services Jobs, Finance Jobs, Information Jobs, Mining Jobs, Other Services Jobs, Professional Services Jobs, Utilities Jobs; with Month in the x-axis and Jobs (in thousands) in 7-DAY AVERAGE DAILY POSITIVE TEST PERCENTAGE 7-day average daily positive test percentage | scatter Loading UNEMPLOYMENT RATE IN THE DISTRICT OF COLUMBIAFROM MARCH Digvijayghotane's interactive graph and data of "Unemployment Rate in the District of ColumbiaFrom March 2018 to November 2020" is a linechart; with Date in
Dash Enterprise
DASH ENTERPRISE CAPABILITIES Build Low-Code Dash Apps Deploy & Scale Dash Apps Integrate with Enterprise IT LOW-CODE DEVELOPMENT Development EnvironmentsDevelopment Engines
Dash App Catalogues
Professional Services DEPLOYMENT & SCALINGApp Manager
Kubernetes Scaling
Jobs Queue
Hardware Acceleration Embedding Deployed Apps ENTERPRISE IT INTEGRATIONInstallation
Authentication
Data Pipelines
DEVELOPMENT ENVIRONMENTS Data Science Workspaces Jupyter NotebooksDEVELOPMENT ENGINES
Design Kit Dashboard EngineSnapshot Engine
DASH APP CATALOGUES
AI App Catalogue Database ConnectorCatalogue
PROFESSIONAL SERVICES Dash App DevelopmentOpen Source
Development Training& Workshops
APP MANAGER FEATURES Git Deployment App PortalApp Analytics
Secrets Manager
Authentication Manager KUBERNETES SCALING FEATURES Stateless Design Horizontal ScalingHigh Availability
EKS, GSK, & AKS SupportJOBS QUEUE FEATURES
Background Jobs & Queuing Jobs Scaling on Kubernetes Jobs Queue Data Cache Intuitive Jobs Queue API HARDWARE ACCELERATION GPU Acceleration CPUAcceleration Julia
Datashader
EMBEDDING DEPLOYED APPS Embed Anywhere Single Sign-onNo Iframes
Salesforce Integration Bi-directional Data FlowINSTALLATION
Installation Options Overview Azure Linux VM Azure AKS (Kubernetes)AWS Public AMI
AWS EKS (Kubernetes) On-Premises Linux serverAUTHENTICATION
LDAP, SAML, AD, and more Authentication MiddlewareIAM Logging
DATA PIPELINES
Connect to Any Database and APIDatabricks
Snowflake
Postgres
Salesforce
SEE DASH OVERVIEW
Docs
DASH
Docs Community
Dash Enterprise FAQ
Webinars
GRAPHING LIBRARIES
Docs Community
Company
About Us Dash Blog Customer Stories Whitepapers & Guides Press & News Careers Contact Us IndustriesAutomotive Energy
& Utilities
Finance &
Insurance
Manufacturing
Medical Imaging
Pharma
Retail
Pricing
GET A DEMO
馃悋 Announcing Dash VTK for 3d simulation graphics. Check out theMarch Webinar.
DASH ENTERPRISE
Downloaded 5 million times per month, Dash & Plotly are how advanced Python analytics is brought to business operators. Install on Azure | Install on AWS1. Build
2. Deploy
3. Hyperscale
STEP 1: BUILD
BUILD YOUR DASH APP IN A FEW LINES OF PYTHON, R, OR JULIA CODE. Python installation (docs) :pip install dash
Dash R installation (docs) : install.packages(鈥渄ash鈥) Julia installation (docs) : pkg> add Dash DashCoreComponents DashHtmlComponents DashTable Jupyter installation (docs) : pip install jupyter-dashSTEP 2: DEPLOY
DEPLOY YOUR DASH APP TO DASH ENTERPRISE WITH A SINGLE GIT COMMAND. Our 脴-downtime git deployments hot swap containers so that your Dash apps never have downtime.STEP 3: HYPERSCALE
DEPLOY UNLIMITED DASH APPS TO UNLIMITED END USERS. Manage your fleet of deployed Dash apps through the Dash Enteprise AppManager.
Authentication, horizontal scaling, deployment, app analytics, and API key protection can all be managed in App Manager by data scientistsinstead of IT.
Experience Dash Enterprise with DASH GALLERY - a collection of 100s of Python & R Dash apps all published on Dash Enterprise Kubernetes. Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies productionize AI initiatives at 5% the cost of a full-stack development approach. DASH ENTERPRISE IS THE FASTEST WAY TO DELIVER ML AND DATA SCIENCEINITIATIVES.
馃捇Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. 馃悕Work in the languages you love: Python, R, and Julia. 馃挼Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. 鈴盡ove faster by deploying and updating Dash聽apps without an IT orDevOps team.
馃帹Create pixel-perfect dashboards & web apps, without writing anyCSS.
馃幈Scale effortlessly with Kubernetes. 鈿欙笍Support mission-critical applications with high availability. EVERYDAY, DATA SCIENCE AND MACHINE LEARNING TEAMS RELY ON DASH FOR CREATING BEAUTIFUL ANALYTIC APPS.$30M
Funding toward advancing open-source data visualization and Python & Ruser interfaces.
33K
Total GitHub Stars for Dash, Plotly.py, & Plotly.js (top 1% of GitHub's most popular software). Throw us a star!4M
Monthly downloads of Plotly open-source graphing libraries.50M+
Plotly users worldwide are making data science and AI accessible toeveryone.
DASH ENTERPRISE OPERATIONALIZES PYTHON, R, AND JULIA MODELS AT SCALE FOR THE WORLD'S LARGEST COMPANIES. NEXT GENERATION PYTHON ANALYTICS FOR OUR MOST PRESSING PROBLEMS Python has taken over the world, and Dash Enterprise is the vehicle for delivering Python analytics to business users. In addition to disrupting traditional dashboard analytics, Dash & Python are behind the analytic apps of tomorrow's industries: Autonomous vehicles, the clean energy transition, quantum computing, and R&D for advanced materials and therapeutics. THE INCREDIBLE 21X COST SAVINGS OF DASH ENTERPRISE Hiring full-stack software teams to build bespoke analytics stacks is 21x more expensive than building with Dash Enterprise. Read the whitepaper . ML & AI APPS MADE WITH DASHNLP
Dash is the fastest way to deploy Python-based apps for natural language processing (NLP). This Dash app demos Google's word2vec in ~300 lines of Python codeCOMPUTER VISION
Dash is the fastest way to deploy Python-based apps for computervision.
This Dash app demos DETR object detection in ~200 lines of Python codeCLUSTERING
Dash is the fastest way to deploy Python-based apps for dimensionalityreduction.
This Dash app demos TSNE clustering in ~300 lines of Python code PREDICTIVE ANALYTICS Dash is the fastest way to deploy Python-based apps for predictive analytics and forecasting. Use predictive analytics + Dash to put neural networks, nonlinear regressions, decision trees, SVMs, and other forecasting methods in the hands of business users. This Dash app demos Facebook鈥檚 Prophet library in ~200 lines ofPython code
VOICE COMPUTING
Dash is the fastest way to deploy Python-based apps for voicecomputing.
This Dash app demos speech recognition in ~100 lines of Python codeFLASK API
Deploy Flask APIs to Dash Enterprise that load trained models, accept feature values in POST requests, and respond with predictedvalues.
DASH ENTERPRISE CAPABILITIES Low-Code DevelopmentDeployment & ScalingEnterprise IT Integration LOW-CODE DEVELOPMENT Low-code Dash app development that supercharge developer productivity.馃摀
DATA SCIENCE WORKSPACES Create Dash apps and Jupyter notebooks in Dash Enterprise's code editor. Data Science Workspaces bring data science to orgs that can'thave Python on PCs.
鈴
SNAPSHOT ENGINE
Save & share Dash app views as links or PDFs. Or, run a Python job through Dash and have Snapshot Engine email a report when the job isdone.
馃帹
DESIGN KIT
Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.馃搻
DASHBOARD ENGINE
Drag & drop layouts, chart editing, and crossfilter for your Dashapps.
馃摎
AI APP CATALOGUE
Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact. DEPLOYMENT & SCALING A one-stop shop for deployment & scaling: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT orDevOps required.
馃殌
APP MANAGER
Deploy & manage Dash apps without needing IT or a DevOps team. App Manager gives you point & click control over all aspects of your Dashdeployments.
馃幈
KUBERNETES (K8S)
Ensure high availability of Dash apps and scale horizontally with Dash Enterprise鈥檚 Kubernetes architecture. No IT or Helm required.鈴
JOB QUEUE
The Job Queue is the key to building scalable Dash apps. Move heavy computation from synchronous Dash callbacks to the Job Queue for asynchronous background processing.馃摝
EMBEDDING
Embed Dash in existing web apps or products like Salesforce reports. Dash app embedding is the fastest way to add AI to any product orplatforms.
馃殑
HARDWARE ACCELERATION Dash Enterprise puts Python鈥檚 most popular HPC stack for GPU and parallel CPU computing in the hands of business users. ENTERPRISE IT INTEGRATION Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.馃悕
BIG DATA PIPELINES
Connect to Python's most popular big data back ends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.馃敀
AUTHENTICATION MIDDLEWARE Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OAuth, SSO, and simple emailauthentication.
馃捑
EASY INSTALLATION
Dash Enterprise installs in less than 30 minutes on AWS, Azure, and GCP (either on a single Linux VM or the Kubernetes services of these cloud providers). For high security environments, Dash Enterprise can also install on-premises without connection to the public Internet. DASH ENTERPRISE IS THE END-TO-END DEVELOPMENT & DEPLOYMENT PLATFORM FOR LOW-CODE AI DASH APPLICATIONS.Contact Sales
PLOTLY IS PROUD TO PARTNER WITH THESE TECHNOLOGY COMPANIES AND INVESTORS TO ADVANCE DASH AS THE LEADING PLATFORM FOR BUILDING AI & MLAPPS.
鈥淒ASH ENTERPRISE HAS BEEN A LIFESAVER. I鈥橫 ABLE TO QUICKLY CREATE, EDIT, AND DEPLOY CUSTOMIZED DASH APPS AS SOON AS I NEED TO. DASH ENTERPRISE IS LIGHTYEARS AHEAD OF OTHER PYTHON & R APP DEPLOYMENTPLATFORMS."
CORY JEZ Data Scientist, Basketball Analytics, Utah Jazz DATA SCIENCE TEAMS 鉂わ笍 DASH.SEE DASH IN ACTION.
Sign up for our next Dash Live Weekly demo session to learn more about our Dash Enterprise offering, including industry applications and all the latest tips and features on how to operationalize your datascience models.
ProfessionalStudentTitle*CXODirector/VPProduct ManagerData EngineerData ScientistEngineerDevOpsFull Stack DeveloperSystem ArchitectOtherCompany Size*Small (under 500 employees)Medium (500-1000 employees)Large (over 1000 employees)Choose a Demo Time*Wednesday, March 17th @ 3pm ESTWednesday, March 24th @ 11am ESTContact me toschedule a time
Please fill all *required* fieldsPRODUCTS
Dash Enterprise Consulting & TrainingChart Studio
DOCS
DASH
Docs Community
Dash Enterprise FAQ
Webinars
GRAPHING LIBRARIES
Docs Community
COMPANY
About Us Dash Blog Customer Stories Whitepapers & Guides Press & NewsCareers Contact Us
SIGN UP FOR UPDATES
We wouldn鈥檛 dream of spamming you or selling your info. 2021 Plotly. All rights reserved.Privacy
Details
Copyright © 2024 ArchiveBay.com. All rights reserved. Terms of Use | Privacy Policy | DMCA | 2021 | Feedback | Advertising | RSS 2.0