🌀 Portal.JS > The JavaScript framework for data portals
🌀 `portal.js` is a framework for rapidly building rich data portal frontends using a modern frontend approach. `portal.js` can be used to present a single dataset or build a full-scale data catalog/portal.portal.js is built in Javascript and React on top of the popular Next.js framework. portal assumes a "decoupled" approach where the frontend is a separate service from the backend and interacts with backend(s) via an API. It can be used with any backend and has out of the box support for CKAN.
Features
- 🗺️ Unified sites: present data and content in one seamless site, pulling datasets from a DMS (e.g. CKAN) and content from a CMS (e.g. wordpress) with a common internal API.
- 👩💻 Developer friendly: built with familiar frontend tech Javascript, React etc
- 🔋 Batteries included: Full set of portal components out of the box e.g. catalog search, dataset showcase, blog etc.
- 🎨 Easy to theme and customize: installable themes, use standard CSS and React+CSS tooling. Add new routes quickly.
- 🧱 Extensible: quickly extend and develop/import your own React components
- 📝 Well documented: full set of documentation plus the documentation of NextJS and Apollo.
For developers
- 🏗 Build with modern, familiar frontend tech such as Javascript and React.
- 🚀 NextJS framework: so everything in NextJS for free React, SSR, static site generation, huge number of examples and integrations etc.
- SSR => unlimited number of pages, SEO etc whilst still using React.
- Static Site Generation (SSG) (good for small sites) => ultra-simple deployment, great performance and lighthouse scores etc
Installation and setup
Before installation, ensure your system satisfies the following requirements:
- Node.js 10.13 or later
- Nextjs 10.0.3
- MacOS, Windows (including WSL), and Linux are supported
Note: We also recommend instead of npm using
yarninstead ofnpm.
Portal.js is built with React on top of Nextjs framework, so for a quick setup, you can bootstrap a Nextjs app and install portal.js as demonstrated in the code below:
## Create a react app
npx create-next-app
# or
yarn create next-app
After the installation is complete, follow the instructions to start the development server. Try editing pages/index.js and see the result on your browser.
For more information on how to use create-next-app, you can review the create-next-app documentation.
Once you have Nextjs created, you can install portal.js:
yarn add https://github.com/datopian/portal.js.git
You're now ready to use portal.js in your next app. To test portal.js, open your index.js file in the pages folder. By default you should have some autogenerated code in the index.js file:
Which outputs a page with the following content:
Now, we are going to do some clean up and add a table component. In the index.js file, import a Table component from portal as shown below:
import Head from 'next/head'
import { Table } from 'portal' //import Table component
import styles from '../styles/Home.module.css'
export default function Home() {
const columns = [
{ field: 'id', headerName: 'ID' },
{ field: 'firstName', headerName: 'First name' },
{ field: 'lastName', headerName: 'Last name' },
{ field: 'age', headerName: 'Age' }
];
const rows = [
{ id: 1, lastName: 'Snow', firstName: 'Jon', age: 35 },
{ id: 2, lastName: 'Lannister', firstName: 'Cersei', age: 42 },
{ id: 3, lastName: 'Lannister', firstName: 'Jaime', age: 45 },
{ id: 4, lastName: 'Stark', firstName: 'Arya', age: 16 },
{ id: 7, lastName: 'Clifford', firstName: 'Ferrara', age: 44 },
{ id: 8, lastName: 'Frances', firstName: 'Rossini', age: 36 },
{ id: 9, lastName: 'Roxie', firstName: 'Harvey', age: 65 },
];
return (
<div className={styles.container}>
<Head>
<title>Create Portal App</title>
<link rel="icon" href="/favicon.ico" />
</Head>
<h1 className={styles.title}>
Welcome to <a href="https://nextjs.org">Portal.JS</a>
</h1>
{/* Use table component */}
<Table data={rows} columns={columns} />
</div>
)
}
Now, your page should look like the following:
Note
: You can learn more about individual portal components, as well as their prop types in the components reference.
Getting Started
If you're new to Portal.js we recommend that you start with the step-by-step guide below. You can also check out the following examples of projects built with portal.js.
The
examplesdirectory is regularly updated with different portal examples.
If you have questions about anything related to Portal.js, you're always welcome to ask our community on GitHub Discussions.
Tutorial
Build a single Frictionless dataset portal
This tutorial will guide you through building a portal for a single Frictionless dataset.
In this tutorial, you’ll learn Portal.js basics by creating a very simple portal app. Here’s an example of the final result.
Let’s get started!
This tutorial assumes basic knowledge of JavaScript, React and Nextjs. If you are not familiar with React or Nextjs, it is advisable to learn them first. We provide some links below to get you started:
Setup
TODO
Build a CKAN powered dataset portal
TODO
Architecture / Reference
Component List
Portal.js supports many components that can help you build amazing data portals similar to this and this.
In this section, we'll cover all supported components in depth, and help you understand their use as well as the expected properties.
Components are grouped under the following sections:
- UI: Components like Nav bar, Footer, e.t.c
- Dataset: Components used for displaying a Frictionless dataset and resources
- Search: Components used for building a search interface for datasets
- Blog: Components for building a simple blog for datasets
- Views: Components like charts, tables, maps for generating data views
- Misc: Miscellaneos components like errors, custom links, etc used for extra design.
UI Components
In the UI we group all components that can be used for building generic page sections. These are components for building sections like the Navigation bar, Footer, Side pane, Recent datasets, e.t.c.
Nav Component
To build a navigation bar, you can use the Nav component as demonstrated below:
import { Nav } from 'portal'
export default function Home(){
const navMenu = [{ title: 'Blog', path: '/blog' },
{ title: 'Search', path: '/search' }]
return (
<>
<Nav logo="/images/logo.png" navMenu={navMenu}/>
...
</>
)
}
Nav Component Prop Types
Nav component accepts two properties:
- logo: A string to an image path. Can be relative or absolute.
- navMenu: An array of objects with title and path. E.g : [{ title: 'Blog', path: '/blog' },{ title: 'Search', path: '/search' }]
Recent Component
The Recent component is used to display a list of recent datasets in the home page. This useful if you want to display the most recent dataset users have interacted with in your home page.
To build a recent dataset section, you can use the Recent component as demonstrated below:
import { Recent } from 'portal'
export default function Home() {
const datasets = [
{
organization: {
name: "Org1",
title: "This is the first org",
description: "A description of the organization 1"
},
title: "Data package title",
name: "dataset1",
description: "description of data package",
resources: [],
},
{
organization: {
name: "Org2",
title: "This is the second org",
description: "A description of the organization 2"
},
title: "Data package title",
name: "dataset2",
description: "description of data package",
resources: [],
},
]
return (
<div>
{/* Use Recent component */}
<Recent datasets={datasets} />
</div>
)
}
Note: The Recent component is hyperlinked with the dataset name of the organization and the dataset name in the following format:
/@<org name>/<dataset name>
For instance, using the example dataset above, the first component will be link to page:
/@org1/dataset1
and the second will be linked to:
/@org2/dataset2
This is useful to know when generating dynamic pages for each dataset.
Recent Component Prop Types
The Recent component accepts the following properties:
- datasets: An array of datasets
Dataset Components
The dataset component groups together components that can be used for building a dataset UI. These includes components for displaying info about a dataset, resources in a dataset as well as dataset ReadMe.
KeyInfo Component
The KeyInfo components displays key properties like the number of resources, size, format, licences of in a dataset in tabular form. See example in the Key Info section here.
To use it, you can import the KeyInfo component as demonstrated below:
import { KeyInfo } from 'portal'
export default function Home() {
const datapackage = {
"name": "finance-vix",
"title": "VIX - CBOE Volatility Index",
"homepage": "http://www.cboe.com/micro/VIX/",
"version": "0.1.0",
"license": "PDDL-1.0",
"sources": [
{
"title": "CBOE VIX Page",
"name": "CBOE VIX Page",
"web": "http://www.cboe.com/micro/vix/historical.aspx"
}
],
"resources": [
{
"name": "vix-daily",
"path": "vix-daily.csv",
"format": "csv",
"size": 20982,
"mediatype": "text/csv",
}
]
}
return (
<div>
{/* Use KeyInfo component */}
<KeyInfo descriptor={datapackage} resources={datapackage.resources} />
</div>
)
}
KeyInfo Component Prop Types
KeyInfo component accepts two properties:
- descriptor: A Frictionless data package descriptor
- resources: An Frictionless data package resource
ResourceInfo Component
The ResourceInfo components displays key properties like the name, size, format, modification dates, as well as a download link in a resource object. See an example of a ResourceInfo component in the Data Files section here.
You can import and use theResourceInfo component as demonstrated below:
import { ResourceInfo } from 'portal'
export default function Home() {
const resources = [
{
"name": "vix-daily",
"path": "vix-daily.csv",
"format": "csv",
"size": 20982,
"mediatype": "text/csv",
},
{
"name": "vix-daily 2",
"path": "vix-daily2.csv",
"format": "csv",
"size": 2082,
"mediatype": "text/csv",
}
]
return (
<div>
{/* Use Recent component */}
<ResourceInfo resources={resources} />
</div>
)
}
ResourceInfo Component Prop Types
ResourceInfo component accepts a single property:
- resources: An Frictionless data package resource
ReadMe Component
The ReadMe component is used for displaying a compiled dataset Readme in a readable format. See example in the README section here.
Note: By compiled ReadMe, we mean ReadMe that has been converted to plain string using a package like remark.
You can import and use theReadMe component as demonstrated below:
import { ReadMe } from 'portal'
import remark from 'remark'
import html from 'remark-html'
import { useEffect, useState } from 'react'
const readMeMarkdown = `
CBOE Volatility Index (VIX) time-series dataset including daily open, close,
high and low. The CBOE Volatility Index (VIX) is a key measure of market
expectations of near-term volatility conveyed by S&P 500 stock index option
prices introduced in 1993.
## Data
From the [VIX FAQ][faq]:
> In 1993, the Chicago Board Options Exchange® (CBOE®) introduced the CBOE
> Volatility Index®, VIX®, and it quickly became the benchmark for stock market
> volatility. It is widely followed and has been cited in hundreds of news
> articles in the Wall Street Journal, Barron's and other leading financial
> publications. Since volatility often signifies financial turmoil, VIX is
> often referred to as the "investor fear gauge".
[faq]: http://www.cboe.com/micro/vix/faq.aspx
## License
No obvious statement on [historical data page][historical]. Given size and
factual nature of the data and its source from a US company would imagine this
was public domain and as such have licensed the Data Package under the Public
Domain Dedication and License (PDDL).
[historical]: http://www.cboe.com/micro/vix/historical.aspx
`
export default function Home() {
const [readMe, setreadMe] = useState("")
useEffect(() => {
async function processReadMe() {
const processed = await remark()
.use(html)
.process(readMeMarkdown)
setreadMe(processed.toString())
}
processReadMe()
}, [])
return (
<div>
<ReadMe readme={readMe} />
</div>
)
}
ReadMe Component Prop Types
The ReadMe component accepts a single property:
- readme: A string of a compiled ReadMe in html format.
View Components
View components is a set of components that can be used for displaying dataset views like charts, tables, maps, e.t.c.
Chart Component
The Chart components exposes different chart components like Plotly Chart, Vega charts, which can be used for showing graphs. See example in the Graph section here.
To use a chart component, you need to compile and pass a view spec as props to the chart component. Each Chart type have their specific spec, as explained in this doc.
In the example below, we assume there's a compiled Plotly spec:
import { PlotlyChart } from 'portal'
export default function Home({plotlySpec}) {
return (
< div >
<PlotlyChart spec={plotlySpec} />
</div>
)
}
Note: You can compile views using the datapackage-render library, as demonstrated in this example.
Chart Component Prop Types
KeyInfo component accepts two properties:
- spec: A compiled view spec depending on the chart type.
Table Component
The Table component is used for displaying dataset resources as a tabular grid. See example in the Data Preview section here.
To use a Table component, you have to pass an array of data and columns as demonstrated below:
import { Table } from 'portal' //import Table component
export default function Home() {
const columns = [
{ field: 'id', headerName: 'ID' },
{ field: 'firstName', headerName: 'First name' },
{ field: 'lastName', headerName: 'Last name' },
{ field: 'age', headerName: 'Age' }
];
const data = [
{ id: 1, lastName: 'Snow', firstName: 'Jon', age: 35 },
{ id: 2, lastName: 'Lannister', firstName: 'Cersei', age: 42 },
{ id: 3, lastName: 'Lannister', firstName: 'Jaime', age: 45 },
{ id: 4, lastName: 'Stark', firstName: 'Arya', age: 16 },
{ id: 7, lastName: 'Clifford', firstName: 'Ferrara', age: 44 },
{ id: 8, lastName: 'Frances', firstName: 'Rossini', age: 36 },
{ id: 9, lastName: 'Roxie', firstName: 'Harvey', age: 65 },
];
return (
<Table data={data} columns={columns} />
)
}
Note: Under the hood, Table component uses the DataGrid Material UI table, and as such all supported params in data and columns are supported.
Table Component Prop Types
Table component accepts two properties:
- data: An array of column names with properties: e.g [{field: "col1", headerName: "col1"}, {field: "col2", headerName: "col2"}]
- columns: An array of data objects e.g. [ {col1: 1, col2: 2}, {col1: 5, col2: 7} ]
Search Components
TODO
Blog Components
TODO
Misc Components
TODO
Concepts and Terms
In this section, we explain some of the terms and concepts used throughtout the portal.js documentation.
Some of these concepts are part of officila specs, and when appropriate, we'll link to the sources where you can get more details.
Dataset
A dataset extends the Frictionless data package to add an extra organization property. The organization property describes the organization the dataset belongs to, and it should have the following properties:
organization = {
name: "some org name",
title: "Some optional org title",
description: "A description of the organization"
}
An example of dataset with organization properties is given below:
datasets = [{
organization: {
name: "some org name",
title: "Some optional org title",
description: "A description of the organization"
},
title: "Data package title",
name: "Data package name",
description: "description of data package",
resources: [...],
licences: [...],
sources: [...]
}
]
Resource
TODO
view spec
Appendix
What happened to Recline?
Portal.JS used to be Recline(JS). If you are looking for the old Recline codebase it still exists: see the recline branch. If you want context for the rename see this issue.

