Yoana Popova

Migrating from CKAN to PortalJS Cloud and worried about your API integrations? Here's exactly what stays the same, what changes, and what you need to know before you migrate.

Does PortalJS Cloud have APIs?

Does PortalJS Cloud support geospatial visualizations? A clear breakdown of what works out of the box, what requires extension, and how to handle complex mapping requirements.

Does PortalJS Cloud support geospatial visualizations?

We built CKAN. We're not going to tell you PortalJS Cloud is right for everyone. Here's an honest breakdown of what you gain, what you give up, and when to stay on CKAN.

CKAN vs PortalJS Cloud: An Honest Comparison for Organizations Considering Migration

Can PortalJS Cloud users access private datasets? A clear breakdown of publisher previewing, authenticated end-user access, and role-based access control, and what each actually requires.

Can PortalJS Cloud users access private datasets in the frontend?

Can you customize PortalJS Cloud independently? Here's how GitHub contributor access works, what the Vercel deployment constraint means in practice, and when to involve the Datopian team.

Can the client make changes to the portal frontend code independently?

João Demenech

Queryless AI brings conversational data exploration to PortalJS. Users can discover datasets, analyze data, and generate charts simply by asking questions in plain English—making data portals easier and more accessible.

Talk to your data portal in plain English: Introducing QuerylessAI

This guide walks through using the PortalJS Cloud API to programatically create datasets, add resources, upload and replace data files, and update metadata—showing how to build repeatable data update pipelines with code examples.

Keep Your Portal Data Fresh: A Hands-On Guide to the PortalJS Cloud API

OpenMetadata is excellent for governance and power users, but difficult for broader audiences. Learn how PortalJS turns OpenMetadata into a user-friendly data portal focused on discovery and navigation.

Turning OpenMetadata into a User-Friendly Data Portal with PortalJS

Anuar Ustayev

Explore how the PortalJS MCP server unlocks AI-native discovery, metadata exploration, and data previews for modern portals — now open sourced and easy to integrate.

Supercharging Data Portals with the PortalJS MCP Server

Empower your data portal with an insights catalog — a new way to explore, share, and communicate findings alongside your datasets.

Introducing Visualizations in PortalJS Cloud: Publish and Share Insights Alongside Your Datasets

Theo Bertol

How an MCP server bridges AI assistants and data portals, enabling seamless, efficient data discovery for ChatGPT, Claude, and other AI tools.

MCP Server: A better way to connect AI assistants to data portals

Baglan Adaskhan

Migrating from a heavy CKAN 2.6 portal to a fast, fully static frontend — and the technical journey behind it.

How We Rebuilt a Legacy CKAN Portal into a Static, Read-Only Site with PortalJS

Navigate the world of metadata standards from Dublin Core to DCAT to Frictionless Data. Learn which standards work best for government, academic, and enterprise data portals, and how to choose the right approach for your organization.

The Metadata Standards Landscape: Making Data Discoverable Across Organizations

Learn how metadata transforms data discovery at scale—from search engines like Solr and Elasticsearch to standardized schemas that help users find exactly what they need among thousands of datasets.

How Rich Metadata Powers Data Discovery in Modern Data Catalogs

Learn the basics of metadata—from built-in CSV attributes like filename and media type to simple external files—and see how it makes your data discoverable.

Basics of Metadata: How It Helps Understand Your Data

We explain why we chose to decouple CKAN’s frontend and how PortalJS made our data portal faster, more flexible, and easier to maintain. A practical look at SSG, serverless scaling, and modern dev workflows with CKAN.

Discover how decoupling CKAN’s frontend with PortalJS unlocks faster load times, better UX, easier dev workflows, and scalable data portals.

Decoupling CKAN’s Frontend with PortalJS: Performance, UX, Dev Speed.

Why We Decoupled CKAN’s Frontend — And What We Gained with PortalJS

NASA’s open data portal is powered by CKAN—but what if its user experience could match its scientific depth? This post explores how a decoupled frontend using PortalJS can transform performance, design flexibility, and scalability—without changing the backend. Learn how CKAN and PortalJS can work together to deliver a faster, smarter, and more user-friendly data experience.

Why NASA — and Anyone Using CKAN — Should Consider a Decoupled Front-End with PortalJS

William Lima

Discover how the redesigned PortalJS Cloud helps you launch a modern, WCAG 2.1/2.2-compliant open data portal—fully responsive, customizable, and optimized for lightning-fast search and data sharing. Built for governments, non-profits, academic institutions, and private organizations, it's the easiest way to deploy a user-friendly data platform in minutes.

The New Look of PortalJS Cloud

What if the key to smarter, more transparent governance wasn’t spending more—but spending less? Too often, data portals are seen as unavoidable financial burdens, rather than an opportunity. But they ...

How to Reduce Data Portal Costs by 90% or More

Shreyas Munyiappa

Integrating Cloudflare R2 with CKAN revolutionizes resource uploads by enabling direct API-based file storage. Using pre-signed URLs, event-driven processing, and automated metadata updates via Workers and Queues, this approach streamlines uploads, enhances data consistency, and eliminates manual intervention.

Enhancing CKAN Resource Uploads via API with Cloudflare R2, Workers, and Queues.

Lucas Bispo

The latest PortalJS user management update makes this process more intuitive.

Effortless User Management in PortalJS

Learn how PortalJS Cloud’s commitment to accessibility enhances the user experience for everyone.

Making PortalJS Cloud Admin Panel Accessible: The Digital Ramp Everyone Deserves

Let’s take a look at how PortalJS based decoupled frontend can improve your data portal, its performance, user experience and more.

Why PortalJS is the Future of Decoupled Frontend for Data Portals

Luccas Mateus

This post was originally published on the Datopian blog.

In our last article, we explored the Open Spending revamp. Now, let's dive into the tech stack that makes it tick. We'll unpack how PortalJS, ...

The OpenSpending Revamp: Behind the Scenes

Ola Rubaj

MarkdownDB - an open source library to transform markdown content into sql-queryable data. Build rich markdown-powered sites easily and reliably. New dedicated website at markdowndb.com

Announcing MarkdownDB: an open source tool to create an SQL API to your markdown files! 🚀

Hey everyone! 👋 Summer has been in full swing, and while I've managed to catch some vacation vibes, I've also been deep into code. I'm super excited to share some of the latest updates and features w...

What We Shipped in Jul-Aug 2023

This post walks you though adding maps and geospatial visualizations to PortalJS.

Are you interested in building rich and interactive data portals? Do you find value in the power and flexibility of J...

Adding Maps to PortalJS: Enhancing Geospatial Data Visualization with PortalJS

Have you ever wanted to create a catalog of stuff? Maybe it's a list of personal projects, maybe favourite books or movies, or perhaps the options for the next smartphone you'll buy. But you've found ...

Create a catalog of anything using Markdown files in Obsidian

We've just released our first tutorial that covers the fundamentals of MarkdownDB - our new package for treating markdown files as a database. If you've been curious about how to manage your markdown files more effectively, check it out!

Learn how to use MarkdownDB with our First Tutorial!

Rising Odegua

This tutorial will help you get started with the Datahub pages, and how you can use it to create data driven webpages from static data.

Data pages you will create can be deployed with static site hos...

Generate an interactive webpage from CSV data and markdown

sebastien.lavoie

The Frictionless specifications are helping with simplifying data validation for applications in production at the European Union. More specifically, Costas Simatos introduced the Frictionless Data co...

A Short Case Study Involving Table Schema Frictionless Specs at the European Union

We have created a full data portal demo using DataHub PortalJS all backed by a CKAN instance storing data and metadata, you can see below a screenshot of the homepage and of an individual dataset page...

Setup Guide: How to create a full-featured custom data portal frontend for CKAN with PortalJS

Rufus Pollock

The severity of the current SARS-CoV-2 epidemic is undeniable: since the latest months of 2019, the COVID-19 outbreak is having a significant impact in the world at the macro level, starting its sprea...

COVID-19 and Compartmental Models in Epidemiology

michael.polidori

Here at DataHub and Datopian, we recently celebrated Open Data Day 2020. If you're not familiar with Open Data Day, it's an annual worldwide celebration of open data.

For part of our day, we decided ...

Open Data Day 2020 and COVID-19 data

Comparotron allows users to quickly create simple comparative visualizations.

There are already many graphing and apps out there so what's different about comparotron?

The essence of the idea is sim...

Comparotron: A simple way to visualize and share comparisons

branko-dj

We are happy to present new datasets extracted from open-ml website. You can find them at our machine-learning datasets page. OpenML is a hub for sharing interesting open source machine learning datas...

New Machine Learning Datasets

Check out a list of core datasets that are updated on a regular basis. From financial to reference data - it is the best place to find a wide range of up to date datasets.

There will be more automate...

Automatically updated core datasets on DataHub

Great news! We've expanded our range of datasets to include sports data. You can find football data that includes all the major European leagues and ATP tennis data. The football datasets are updated ...

Sports data on DataHub

We are happy to present a short description of ARFF format that is very useful for those interested in machine learning. In this post we shall explain some features of this format.

ARFF stands for At...

Attribute Relation File Format (ARFF)

If you are using data CLI tool for both personal and professional purposes, you would need to have more than 1 account. Below we explain how account configurations work and how you can manage them - i...

How to use multiple DataHub accounts

We have extracted 307 indicators from The World Bank and published them on DataHub:

https://datahub.io/world-bank

The World Bank Open Data website offers free access to comprehensive, downloadable i...

World Bank Indicators on DataHub

As a platform dedicated to providing access to high quality data and tooling we need to measure how useful our users find DataHub's services. Measurable values like how many users we have, site traffi...

Automated KPIs collection and visualization of the funnels

Awesome pages are collections of data from DataHub and the web that are grouped and analyzed for your usage. Our goal is to cover all important subjects and users always can suggest a new theme to con...

Revamped awesome collections: data sets that are grouped by subject

svetozarstojkovic

We have created a number of machine learning datasets that can be interesting for professionals and students from the field.

You can see our current machine-learning datasets at https://datahub.io/ma...

Machine learning datasets

In this tutorial, we provide instructions on how to automate publishing your dataset via Travis-CI. If you prefer hosting and controlling your dataset on GitHub, you'd find this tutorial useful. Befor...

Auto-publish your datasets using Travis-CI

acckiygerman

Here we explain how you can use JavaScript SDK for data deployment purposes. If you need a detailed step-by-step tutorial, please, go to this article:

https://datahub.io/docs/tutorials/js-sdk-tutoria...

JavaScript SDK for data deployment

In this article we explain how easy is adding a datapackage.json file for your data. You need to have data tool installed - download it and follow these instructions.

:::info
If you're not familiar w...

How to initialize a data package using data tool

To help users with creation of Data Packages we have implemented a descriptor validation tool:

https://datahub.io/tools/validate

Now users can check the Data Package descriptor to be sure they have ...

Validate your Data Package descriptor online

akariv

We're sharing an update on all the progress we made in the first quarter of 2018. We massively improved our data command line tool, sped up data deployment 5-100x and introduced embeddable shareable d...

Q1 2018 Review

Good day, dear data miners, scientists and statisticians!

During the last month we were focused on polishing the existing product - DataHub platform and the data-cli tool. Also we added number of new...

New Features and Improvements

We've integrated our pipelines system with the website to display more insights to our users. Any dataset you publish on DataHub could be in one of three states: processing, succeeded or failed. Below...

Improved Reporting and Debugging of Data Publishing

Users can now use the DataHub to validate their tabular data, for example checking that dates really are dates or that a column of daily revenue is always positive.

Data validation is also integrated...

Data Validation in the DataHub

Meiran Zhiyenbayev

There are several graphs that illustrate pharmaceutical drug spendings from the list OECD countries. Data is clean and available in several formats such as csv, json, zip.

This chart illustrates tota...

Which country spends the most on pharmaceutical drugs?

Today we are releasing support for private datasets on the DataHub. Private datasets are exactly that: private and visible and accessible only to their owners.

This feature is designed to support sev...

Introducing private datasets on the DataHub

We are pleased to announce the launch of our new desktop application for DataHub users. The app brings drag and drop publishing of data. In addition, users can preview and validate their data prior to...

Data desktop app - alpha release with drag and drop data publishing support

This tutorial demonstrates how to use Data Packages from R. We assume that you already know about Data Packages and its specifications.

Let's consider "VIX - CBOE Volatility Index" data here. The VIX...

How to use Data Packages from R

Users can now import online data files directly into the DataHub using the data command line tool -- and setup scheduled re-imports at the same time.

We're very excited about this feature as it is th...

Import online data files directly with scheduling

The "Core Data" project provides essential data for the data wranglers and data science community. Its online home is on the DataHub:

https://datahub.io/core

https://datahub.io/docs/core-data

This ...

Core Data: Essential Datasets for Data Wranglers and Data Scientists

You can now see publisher and dataset related events. As we are tracking processes happening in our system, users have ability to discover which publishers have been active or datasets are updated fre...

See events and activity related to datasets or publishers

We are now generating compressed versions of datasets so users can download a dataset as a single file. You can find it in the “Data Files” table in the showcase page. For example, you can have a look...

Datasets in zip format

We are now generating preview versions of large datasets so your web browser does not crash by loading large amount of data. The preview versions consist of first 5k rows of datasets (if a dataset is ...

Previews for large datasets

As you know publishers can create various views using Vega visualizations in DataHub (learn more about views here). We have just upgraded our platform to use Vega specs v3, which means you can use the...

Vega views upgrade - now using v3

In this tutorial, we will explain how to push Excel data to the DataHub. When an Excel file is pushed, we can extract data from selected sheets for previewing and downloading in alternative formats. B...

Excel Files on the DataHub: Automated Previews and Data Extraction

This post walks you through the major changes in the Data Package v1 specs compared to pre-v1. It covers changes in the full suite of Data Package specifications including Data Resources and Table Sch...

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