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github-actions[bot] pushed a commit to branch release/v1.1.0-incubating
in repository https://gitbox.apache.org/repos/asf/texera.git
The following commit(s) were added to refs/heads/release/v1.1.0-incubating by
this push:
new 85e0a1afca chore: revising .asf.yaml file, "About" page, and its
screenshot (#4593)
85e0a1afca is described below
commit 85e0a1afca2796bfccf0f6f37b7c03ef4c51f332
Author: Chen Li <[email protected]>
AuthorDate: Sat May 2 01:24:09 2026 +0000
chore: revising .asf.yaml file, "About" page, and its screenshot (#4593)
### What changes were proposed in this PR?
Changed the .asf.yaml file and the "About" page to reflect the revised
position of the project.
### Any related issues, documentation, discussions?
A followup PR of #4591
### How was this PR tested?
None.
### Was this PR authored or co-authored using generative AI tooling?
No.
---------
Co-authored-by: Jiadong Bai <[email protected]>
Co-authored-by: Claude Opus 4.7 (1M context) <[email protected]>
Co-authored-by: Xinyuan Lin <[email protected]>
Co-authored-by: Yicong Huang
<[email protected]>
(backported from commit d4a094edb1d8e26e1eb5438aed8b754fe30ba5f1)
---
.asf.yaml | 16 ++++----
.../app/hub/component/about/about.component.html | 41 ++++++++-------------
frontend/src/assets/workflow_gui.png | Bin 247141 -> 1856289
bytes
3 files changed, 25 insertions(+), 32 deletions(-)
diff --git a/.asf.yaml b/.asf.yaml
index dd8bbfe04a..8b923c266b 100644
--- a/.asf.yaml
+++ b/.asf.yaml
@@ -18,17 +18,19 @@
# https://cwiki.apache.org/confluence/display/INFRA/Git+-+.asf.yaml+features
github:
- description: "Collaborative Machine-Learning-Centric Data Analytics Using
Workflows"
- homepage: https://texera.io/
+ description: "Human-AI Collaborative Data Science Using Visual Workflows"
+ homepage: https://texera.apache.org/
labels:
- - workflow
+ - human-ai-collaboration
+ - ai-agents
+ - visual-workflows
- data-science
- - data
- - machine-learning
+ - runtime-debugging
- artificial-intelligence
+ - machine-learning
+ - interactive-engine
- cloud-native
- - data-analytics
- - texera
+
protected_tags:
- "v*.*.*"
diff --git a/frontend/src/app/hub/component/about/about.component.html
b/frontend/src/app/hub/component/about/about.component.html
index d455e1b64a..0c75a30d13 100644
--- a/frontend/src/app/hub/component/about/about.component.html
+++ b/frontend/src/app/hub/component/about/about.component.html
@@ -29,27 +29,23 @@
<h1 class="about-title">About Texera</h1>
<p>
- Texera is a system for users with various backgrounds to learn and
practice data science, AI, and machine
- learning. It also allows users to share their datasets and analyze
workflows.
+ Apache Texera (Incubating) is an open-source platform for human-AI
collaborative data science using visual
+ workflows. It enables analysts to construct, execute, and refine data
analysis tasks through an intuitive GUI,
+ assisted by AI agents that understand natural-language instructions.
Texera is well-suited for a wide range of
+ applications, including “AI for Science,” by making advanced AI and data
science capabilities accessible to a
+ broader community. It can run on a laptop for local use or be deployed
in the cloud to support scalable processing
+ of large datasets.
</p>
- <h2 class="content-title">Key Features</h2>
+ <h2 class="content-title">The platform has the following key features:</h2>
<ul class="text-content">
- <li>Supporting low-code/no-code data science using workflows</li>
- <li>Parallel data-processing engine running on computing clusters</li>
- <li>Using the Apache Pekko actor-model system</li>
- <li>Supporting UDFs in Python, R, Java, and Scala</li>
- <li>Supporting ML training and inference</li>
- <li>Including a rich collection of ML operators</li>
- <li>Interactive workflow execution model that supports pausing and
resuming</li>
- <li>Supporting collaborations with shared editing, shared execution, and
version control</li>
- <li>Supporting debugging, including line-by-line debugging in Python
UDFs</li>
- <li>Supporting reproducibility of data analysis</li>
- <li>Region-by-region execution with full pipelining in each region</li>
- <li>Storing execution results using Apache Iceberg</li>
- <li>Supporting version-controlled file collections on S3-compatible
storage managed by LakeFS</li>
- <li>Adopting a microservice-based architecture using Kubernetes and
Docker</li>
- <li>Supporting computing isolation and storage isolation of multiple
tenants</li>
+ <li>Natural-language data science through AI agents</li>
+ <li>Intuitive GUI-based workflows for data science</li>
+ <li>Real-time collaboration for workflow editing and execution</li>
+ <li>Parallel backend engine for scalable big-data processing</li>
+ <li>Language-agnostic workflow runtime, native support for Python and
Java</li>
+ <li>Separation of compute and storage for flexible cloud deployment</li>
+ <li>Runtime debugging and interactive workflow execution</li>
</ul>
<img
class="workflow-gui-screenshot"
@@ -58,13 +54,8 @@
<h2 class="learn-more-title">Learn More</h2>
<div class="learn-more-section">
<p>
- To learn more, please visit <a href="http://texera.io">texera.io</a>.
The
- <a href="https://github.com/Texera/texera">source code</a> of the
platform is available on GitHub. If you have
- comments and questions, please send email to
- <img
- src="../../../../../assets/texera_email_screenshot.png"
- alt="texera email screenshot" />
- .
+ To learn more, please visit <a
href="https://texera.apache.org/">https://texera.apache.org/</a>. The
+ <a href="https://github.com/apache/texera">source code</a> of the
platform is available on GitHub.
</p>
</div>
<ng-container *ngIf="(isLogin$ | async) === false as isLogin">
diff --git a/frontend/src/assets/workflow_gui.png
b/frontend/src/assets/workflow_gui.png
index cb4348bd5b..6abd0597b3 100644
Binary files a/frontend/src/assets/workflow_gui.png and
b/frontend/src/assets/workflow_gui.png differ