apache/texera

Apache Texera - Human-AI Collaborative Data Science Using Visual Workflows

Apache Texera (Incubating) is an open-source platform for human-AI collaborative data science using visual workflows.

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Apache Texera (Incubating) is an open-source platform for human-AI collaborative data science using visual workflows. It enables human 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.

The platform has the following key features:

• Natural-language data science through AI agents
• Intuitive GUI-based workflows for data science
• Real-time collaboration for workflow editing and execution
• Runtime debugging and interactive workflow execution
• Language-agnostic workflow runtime, native support for Python and Java
• Parallel backend engine for scalable big-data processing
• Separation of compute and storage for flexible cloud deployment

Citation

@article{DBLP:journals/pvldb/WangHNKALLDL24,
  author       = {Zuozhi Wang and
                  Yicong Huang and
                  Shengquan Ni and
                  Avinash Kumar and
                  Sadeem Alsudais and
                  Xiaozhen Liu and
                  Xinyuan Lin and
                  Yunyan Ding and
                  Chen Li},
  title        = {Texera: {A} System for Collaborative and Interactive Data Analytics
                  Using Workflows},
  journal      = {Proc. {VLDB} Endow.},
  volume       = {17},
  number       = {11},
  pages        = {3580--3588},
  year         = {2024},
  url          = {https://www.vldb.org/pvldb/vol17/p3580-wang.pdf},
  timestamp    = {Thu, 19 Sep 2024 13:09:37 +0200},
  biburl       = {https://dblp.org/rec/journals/pvldb/WangHNKALLDL24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}