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apache/texera/refs/heads/release/v1.3
commit
839165362417f7c52f66311dafb12e29063751b8
[log]
author
Meng Wang <mengw15@uci.edu>
Tue Sep 01 12:19:59 2026 -0700
committer
GitHub <noreply@github.com>
Tue Sep 01 12:19:59 2026 -0700
tree
ff0a42ddfdfd9fa64a6cbaaf19f9f15183d9eca5
parent
8aea604ab34acba553b2c438810abcabef550e67 [diff]
chore: bump version to v1.3.0-incubating (#8306)

### What changes were proposed in this PR?

This PR bumps the project version from `1.3.0-incubating-SNAPSHOT` to
`1.3.0-incubating` on the `release/v1.3` branch, in preparation for the
v1.3.0-incubating release:

- `build.sbt`: `ThisBuild / version` from `1.3.0-incubating-SNAPSHOT` to
`1.3.0-incubating`
- `bin/k8s/values.yaml`: `imageTag` from `1.3.0-incubating-SNAPSHOT` to
`1.3.0-incubating`
- `frontend/package.json`: `version` from `1.3.0-incubating-SNAPSHOT` to
`1.3.0-incubating`

### Any related issues, documentation, discussions?

Closes #8305.

### How was this PR tested?

Configuration-only change.

### Was this PR authored or co-authored using generative AI tooling?

Generated-by: Claude Code (claude-fable-5)
3 files changed
tree: ff0a42ddfdfd9fa64a6cbaaf19f9f15183d9eca5
  1. .github/
  2. .run/
  3. access-control-service/
  4. agent-service/
  5. amber/
  6. bin/
  7. common/
  8. computing-unit-managing-service/
  9. config-service/
  10. docs/
  11. file-service/
  12. frontend/
  13. licenses/
  14. licenses-3rd-party-code/
  15. notebook-migration-service/
  16. project/
  17. pyright-language-service/
  18. sql/
  19. workflow-compiling-service/
  20. .asf.yaml
  21. .dockerignore
  22. .gitattributes
  23. .gitignore
  24. .jvmopts
  25. .licenserc.yaml
  26. .scalafix.conf
  27. .scalafmt.conf
  28. AGENTS.md
  29. build.sbt
  30. CLAUDE.md
  31. codecov.yml
  32. CONTRIBUTING.md
  33. DISCLAIMER
  34. LICENSE
  35. NOTICE
  36. README.md
  37. SECURITY.md
README.md

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

texera-screenshot

Citation

Please cite Texera as


@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}
}