Schema-first ingestion (CSV, JSON, Parquet, Excel) into an in-memory DataSet, plus Polars-backed pipelines, SQL, profiling, validation, and map/reduce-style processing.
#Outreach channels (shortlist)
Useful places to announce **`rust-data-processing`** releases and examples:
| Channel | Role ||---------|------||[crates.io](https://crates.io/crates/rust-data-processing)| Primary discovery for Rust users. ||[PyPI](https://pypi.org/project/rust-data-processing/)| Python package name may differ; align with `python-wrapper/pyproject.toml`. ||[Show HN](https://news.ycombinator.com/showhn.html)| One concise post per major milestone; link to repo + docs. ||[r/rust](https://www.reddit.com/r/rust/)| Weekly “What’s everyone working on?” or dedicated post with benchmarks. ||[r/MachineLearning](https://www.reddit.com/r/MachineLearning/)| Focus on **tabular QA** angle; avoid hype; disclose limitations. ||[Dev.to](https://dev.to/)| Tutorial-style posts with runnable snippets. |
Keep posts factual: single-node scope, no distributed engine, optional DB/Delta paths as documented.