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Explore our blog for in-depth articles, case studies, and expert perspectives on how technology in data is transforming industries.

This is our first quarterly update with updates we have shipped over the last 3 months and we aim to keep this a recurring series as we go along. We'll be using this to talk about some of the important updates we have shipped as well as highlight some of our community projects as well.
We have updated our react package to reach feature parity with dashboards on our platform. This means you can now edit widgets, ask questions and everything else provided by our platform.

Our new table widget allows you to filter by column as well as sort by column. This was a highly requested update by you all and we're happy to have rolled it out. The new table widget also has the ability to auto-hyperlink any URLs you might have making it easy to navigate to other services or pages if needed.

You can now export widgets as a vector file for lossless scaling to use in presentations and other places. You can now also export your dashboard as an excel file, a folder of CSVs, PDF and as an image. We have also been able to fix an issue where the PDF export would be inconsistent across browsers and should now look the same regardless of which browser you or your users use.

We had found an issue where different browsers and ad blockers would hinder the ability to use dashboards in iframes in your product. This has since been resolved by using our own React SDK for our iframe. This also allows us to test the react SDK in a production application by dog-fooding it as well.

This dashboard is built using live data from https://www.basketball-reference.com/ and uses the Python Web Scraper tool (mentioned below) to visualise various stats for basketball fans.

The python SDK allows you to use the Onvo platform with a python backend. It also allows you to write scripts to upload data to onvo using python or to use OpenAI function calling to integrate Onvo's chart generation capability alongside your existing chatbot.

https://github.com/onvo-ai/sdks/tree/main/python?ref=blog.onvo.ai

This is a Python application that scrapes tables from a URL and stores them in a CSV file, which can then be uploaded to Onvo for data analysis.
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