apache/texera
Collaborative Machine-Learning-Centric Data Analytics Using Workflows
Provides real-time collaborative editing similar to Google Docs for data workflows, with a DAG-based execution engine supporting interactive debugging and result caching across workflow versions. Built on an actor-model dataflow architecture (Amber), it integrates data cleaning, ML training, and validation pipelines through a code-free GUI while enabling time-travel debugging and cost-based pipelining optimization for distributed execution.
227 stars.
Stars
227
Forks
117
Language
Scala
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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