Announcing Texera v1.0.0 (Non-ASF Release)
Since 2016, our team has been developing the Texera system to support cloud-based data science, AI, and ML using GUI-based workflows. Today (April 7, 2025), we are glad to make an official release of its first major version, v1.0.0!
The release is available on GitHub: apache/texera v1.0.0.
Major Features
- Supporting low/no coding data science using workflows
- Parallel data-processing engine running on computing clusters
- Using the Apache Pekko actor-model system
- Supporting UDFs in Python, R, and Java
- Supporting ML training and inference
- Including a rich collection of ML operators
- Interactive workflow execution model that supports pausing and resuming
- Supporting collaborations with shared editing, shared execution, and version control
- Supporting debugging, including line-by-line debugging in Python UDFs
- Supporting reproducibility of data analysis
- Region-by-region execution with full pipelining in each region
- Storing execution results using Apache Iceberg
- Supporting version-controlled file collections on S3-compatible storage managed by LakeFS
- Adopting a microservice-based architecture using Kubernetes and Docker
- Supporting computing isolation and storage isolation of multiple tenants
For Users and Developers
- For users who want to install Texera on a single machine using Docker, follow the instructions on this page.
- For developers who want to contribute to Texera, follow the instructions on this page.
