feat: add a new webgl polar chart operator#4221
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aglinxinyuan merged 10 commits intoapache:mainfrom Apr 17, 2026
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Overall, it looks good. Please look over the comments and address/respond to them above.
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@anishshiva7, There is an issue where I think you pushed more changes than expected. |
Signed-off-by: Xinyuan Lin <xinyual3@uci.edu>
Signed-off-by: Xinyuan Lin <xinyual3@uci.edu>
Correct formatting of license text in PolarChartOpDesc.scala Signed-off-by: Xinyuan Lin <xinyual3@uci.edu>
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### What changes were proposed in this PR? <img width="1502" height="855" alt="Screenshot 2026-02-16 at 1 51 11 PM" src="https://github.com/user-attachments/assets/0833347c-b6f0-4f7c-8468-f7a773bffab3" /> This change introduces a WebGL Polar Chart operator, which visualizes data using polar coordinates rendered with GPU-accelerated WebGL. The WebGL Polar Chart operator enables high-performance and interactive visualization of datasets that are naturally expressed in angular and radial dimensions. In a WebGL polar chart: - The angular axis represents categories or continuous angular values. - The radial axis represents magnitude or distance from the center. - Data points are rendered using WebGL for efficient GPU-based visualization. - The visualization supports smooth rendering of larger datasets compared to traditional DOM/SVG approaches. This visualization is useful for: - Displaying cyclic or directional data. - Comparing magnitudes across angular segments. - Identifying patterns in periodic datasets. - Enabling efficient, interactive visual analytics workflows. The operator has been integrated into the Texera workflow system and appears under the visualization category. ### Any related issues, documentation, discussions? Needs python library scikit-image Can be installed using: pip install scikit-image ### How was this PR tested? Tested with existing test cases ### Was this PR authored or co-authored using generative AI tooling? No --------- Signed-off-by: Xinyuan Lin <xinyual3@uci.edu> Co-authored-by: Anish Shivamurthy <anish@dhcp-10-8-033-008.mobile.reshsg.uci.edu> Co-authored-by: Anish Shivamurthy <anish@dhcp-172-31-198-097.mobile.uci.edu> Co-authored-by: Xinyuan Lin <xinyual3@uci.edu>
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What changes were proposed in this PR?
This change introduces a WebGL Polar Chart operator, which visualizes data using polar coordinates rendered with GPU-accelerated WebGL. The WebGL Polar Chart operator enables high-performance and interactive visualization of datasets that are naturally expressed in angular and radial dimensions.
In a WebGL polar chart:
This visualization is useful for:
The operator has been integrated into the Texera workflow system and appears under the visualization category.
Any related issues, documentation, discussions?
Needs python library scikit-image
Can be installed using: pip install scikit-image
How was this PR tested?
Tested with existing test cases
Was this PR authored or co-authored using generative AI tooling?
No