PyGWalker
Microsoft Power BI
Tableau
Superset
Metabase
DashboardFox
Data Studio
Draxlr
Columns AI
Microsoft Power BI
Fluent BI
Metabase
Tableau
Manaflow
Pretzel
Dashbreeze
It lets you connect your Spreadsheet, Uploaded CSV, Airtable, Notion Database, and SQL DB.
You then use natural language to query your data into visualization on a canvas, from where you can start to design it into beautiful content, such as using AI summary to create a layout and visual elements along with your main chart.
Columns specialize in time series data, you can easily forecast the future from there as well. Lastly, you can set up a schedule to keep it updated with your data without manually updating it.
PyGWalker Columns AINo features have been listed yet.
Columns AI's answer:
A super-fast data analytics engine (https://github.com/varchar-io/nebula) AI across all storytelling stages: Columns understands your data, Columns understands you, and Columns understands your story.
You can think of it as Canva for Data - a free canvas to craft all beautiful and insightful information on.
Columns AI's answer:
Easy to use. Super fast. Full intelligence. Flexible for design.
Columns AI's answer:
People who love data storytelling. People who are tired of heavy BI tools like Tableau or Power BI, seeking lightweight but much more efficient alternatives.
People want personalized product experiences, and are 100% flexible in making content.
Columns AI's answer:
Love to share if you're interested in the product, let's talk!
Columns AI's answer:
Big data AI Visualization Free Canvas
Columns AI's answer:
Not disclose here.
Based on our record, PyGWalker seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In 2023, Python's data visualization landscape is rich and varied, with PyGWalker leading the charge towards intuitive, interactive exploration tools. While traditional powerhouses like Matplotlib remain relevant, there's a notable shift towards web-ready and interactive visualizations, as seen with Plotly and Bokeh. The diversity in this top 10 list indicates that the ideal library hinges on project specifics and... - Source: dev.to / almost 2 years ago
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