Data-science workflows shouldn’t disappear into notebooks and handoffs.
Apache Texera is an open-source platform for human-AI collaborative data science using visual workflows.
It helps analysts construct, execute, and refine data-analysis tasks in a GUI, with AI agents that understand natural-language instructions.
Key features:
• Natural-language agents – describe data-science tasks in plain language for AI-agent assistance
• Visual workflow builder – construct data-science workflows through an intuitive GUI
• Real-time collaboration – edit workflows and execute them together
• Interactive debugging – inspect and refine workflows while they run
• Flexible execution – use native Python and Java support, with a parallel backend for scalable processing
It’s open-source (Apache License 2.0 license).
Link in the reply 👇
Now open for submission! $100k in prizes are waiting for the best computational approaches to identifying novel disease signatures in KPMP data: https://t.co/cROpXUsNX8
NSF BRIDGE held its conference at UC Irvine on Oct 27, where scientists in bioinformatics, social sciences and HPC shared how they use Apache Texera (Incubating), the open-source project NSF BRIDGE builds on.
Recap: https://t.co/F6YQsHrgmK
#ApacheTexera#OpenSource#DataScience
Great to spend 3 days with students & faculty at Universidad Panamericana in Aguascalientes 🇲🇽 for the UP–Apache Texera Hackathon!
Hands-on work, talks & discussions on data science, AI/ML, data management, and open source.
¡Gracias y hasta pronto!
https://t.co/qRjFELvJIq
#ApacheTexera #AI #DataScience #OpenSource
Last Thursday (Sept. 3), we hosted an NSF BRIDGE & Apache Texera Meetup in Boston during VLDB 2026.
It was a great opportunity to connect with colleagues and exchange ideas about data and compute infrastructure, data science, AI/ML, agents, cloud computing, and open-source systems.
We also had many valuable discussions about how the NSF BRIDGE data cyberinfrastructure and Apache Texera (Incubating) can support scientific communities by making data, computing, and AI capabilities more accessible, and how we can collaborate with researchers and infrastructure projects across different domains.
Many thanks to everyone who joined us and contributed to the discussions. We look forward to continuing these conversations and exploring new research and collaboration opportunities.
If you are interested in collaborating with NSF BRIDGE or Apache Texera, please feel free to reach out!
🔗 Meetup: https://t.co/FoG9PHfACk
🔗 Apache Texera: https://t.co/qRjFELvbSS
#NSF #BRIDGE #ApacheTexera #VLDB2026 #DataScience #AI #Cyberinfrastructure #OpenSource #ResearchCollaboration
🎉 𝐀𝐩𝐚𝐜𝐡𝐞 𝐓𝐞𝐱𝐞𝐫𝐚 𝟏.𝟐.𝟎-𝐢𝐧𝐜𝐮𝐛𝐚𝐭𝐢𝐧𝐠 𝐢𝐬 𝐧𝐨𝐰 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞!
With 𝟒𝟓𝟎+ 𝐧𝐞𝐰 𝐜𝐨𝐦𝐦𝐢𝐭𝐬 since 1.1.0, this release makes Texera smarter with built-in AI capabilities, stronger in the workflow engine, and more secure and cloud-ready than ever.
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞:
🤖 Agent Service and LiteLLM integration in both single-node and Helm deployments, with more operator types supported by default
🤗 Hugging Face model browsing and media proxy support
🧊 Lakekeeper-powered Iceberg Catalog for Kubernetes deployments
🧭 Cross-region workflow state materialization, and stronger workflow graph validation
🎨 New Python UDF parameter forms, public dataset gallery, cover images, clipboard actions, and other UI improvements
⚙️ Under the hood: Java 17 LTS, non-root service containers, PostgreSQL connection pooling, admin compute configuration, and simplified deployment configuration
A huge thank-you to everyone who contributed to this release! 🙌
🚀 Try it out, share your feedback, and join the Texera community at [email protected]
🔗 Release notes: https://t.co/yLiRl5D5os
📦 Download: https://t.co/ThSSWXqO1w
📖 Documentation: https://t.co/9IVwaDBdp2
#ApacheTexera #ApacheSoftwareFoundation #OpenSource #DataScience #DataEngineering #AI #Python #Java #Kubernetes #SoftwareEngineering #HuggingFace
Learn about #dkNET Computational Core at KPN Webinar on Aug 6! Dr. Chen Li @chenlica will present a cloud-native, collaborative AI/ML platform for biomedical research, enabling reproducible workflows, #AI -powered analysis, & team science. More info.: https://t.co/UvYgJ4g04k
The ACM community has shaped my career—now I’m running for Member-at-Large to give back.
If you’re an ACM member, I’d be grateful for your support. In a low-turnout election, every vote really matters.
🗳️ Vote (takes <1 min): https://t.co/xwp7y8YpC1
📄 My candidate statement: https://t.co/BeQgCmMAMJ
⏰ May 22, 16:00 UTC
And if you’re willing to share/RT, that would help a lot.
#ACM #TechCommunity
📢 Join the #dkNET Webinar!
Data-driven Biology with #CFDE CONNECT Community of Resources
🗓️ Fri, Nov 21, 2025 | 🕚 11 am–12 pm PT
Jake Y. Chen, Ph.D., UAB Heersink School of Medicine
Learn how CFDE CONNECT advances data-driven research!
🔗 https://t.co/vHQqw9KNVG
#DataScience
@TexeraProject Together with UCLA collaborators, we successfully organized the Data Science for All 2025 program. 33 high-school and college students learned data science, AI, and ML using the Texera platform. https://t.co/ZTWum1LKYj
Calling all students in NIDDK relevant disease research fields! 🔬📊 Ready to explore data management, #FAIR data, rigor and reproducibility, and #datascience? The dkNET Summer of Data program offers training to boost your research skills.
Apply now! ✨ https://t.co/LfnMBqq5Lk
We successfully finished the second “Data Science for All” program (https://t.co/p97aCMjuBz) to use Texera to teach high-school students data science and AI/ML. Check some nice photos! https://t.co/YsaXfeOjwp
Invited by Prof. Yinghui Wu of Case Western Reserve University, I attended the 10th Annual Data Science in Engineering and Life Sciences Symposium. I gave a talk titled "Texera: A Computing Infrastructure for Workflow-Based Data Analyses and AI" https://t.co/r9Z7YVdROh
We organized an NSF-funded "Data Science for All" summer program (https://t.co/YT07gxBFhT) from 07/08 – 07/19/2024, to teach 16 high-school students data science, AI, and ML, using Texera. Here are photos (https://t.co/v7Nzrbkt4D).
#DataScience