* [Dingo v2.1.0](https://github.com/MigoXLab/dingo) – Data quality evaluation tool supporting built-in and custom methods for text and multimodal datasets.

* [Simple data analysis (SDA) v5.18.0](https://github.com/nshiab/simple-data-analysis) – High-performance JavaScript library for data analysis with support for tabular and geospatial data.

* [The XGo Programming Language v1.6.6](https://github.com/goplus/xgo) – Programming language designed for engineering, STEM education, and data science.

* [Visprex 0.9.1](https://github.com/visprex/visprex) – Visualise CSV files instantly in the browser with local data processing and interactive charts.

* [Onyxia v10.32.8](https://github.com/InseeFrLab/onyxia) – Web app integrating open source backends to provide a data science environment with customizable Kubernetes container management.

* [Lodex v16.10.10](https://github.com/Inist-CNRS/lodex) – Tool for publishing and managing datasets in multiple formats with a back-office for data manipulation.

* [DataOps Data Quality TestGen 5.0.2](https://github.com/DataKitchen/dataops-testgen) – Tool for generating and executing data quality tests through profiling, hygiene reviews, and ongoing anomaly monitoring.

* [Duck-UI v0.0.33](https://github.com/caioricciuti/duck-ui) – Web-based interface for interacting with DuckDB via WebAssembly, featuring SQL editor, data import/export, data explorer, and query history.

* [Insyra v0.2.15](https://github.com/HazelnutParadise/insyra) – Next-generation Go data analysis library with parallel processing, data visualization, and Python integration.

* [Duck-UI 0.0.28](https://github.com/ibero-data/duck-ui) – Web-based interface for interacting with DuckDB in the browser using WebAssembly, featuring a SQL editor, data import/export, data explorer, and query history.