Tools, Technology and my Thoughts or experience with it.

As a data scientist/architect, I need to use and learn about many tools, technologies, technique, libraries, etc. that can be useful. But as there is no one-size-fits-all solution, each has its strengths, weaknesses and optimal use cases. Here I write down some of my observations or experiences with the tools, to keep a record of the plethora of tools myself, and maybe someone else will find this useful.

• DuckDB
• Dash
• HiPlot
• InterpretML
• or-tools
• streamlit
• LLM UI tools (ollama)
• Rill
• Evidence
• AutoViz
• https://github.com/Kanaries/pygwalker
• Polars
• DeepL
• PowerBI

• Apache superset
• Hex.tech
• LanceDB, KuzuDB, DuckDB as a comparison
• dbt