# AlfaPigeon/SieveDatasetConverter > Dataset converter: pulls data from Hugging Face or Parquet/CSV/JSON/JSONL/DuckDB files, maps it onto a JSON schema and writes a sample to DuckDB. Available as a web UI and an MCP server for AI agents. - Magnitude: 0.2 out of 10 — Quiet - Stars: 2 total · +0 stars measured 2026-10-15, 20:47–22:48 UTC - Star trust: star growth looks organic - Category: Data & analytics · Language: JavaScript · License: MIT · Created: 2026-10-14 · Last push: 2026-10-14 - GitHub: https://github.com/AlfaPigeon/SieveDatasetConverter · Page: https://gitnova.dev/en/r/AlfaPigeon/SieveDatasetConverter ## Useful for - Build a training sample from a Hugging Face dataset into DuckDB using a custom schema - Connect the MCP server and run the import pipeline from a coding agent - Convert a local CSV or Parquet into a DuckDB table with the required fields ## Why it’s here - Star-counter measurements on 2026-10-15 (UTC), 20:47–22:48: 2 → 2 stars (+0). This is the change over that interval. - The repository is 1 day old and already has 2 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - New listing on glama. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 0 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 0 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 2 days (oldest → newest, today is partial) 2026-10-14 … 2026-10-15: 1, 0 ## Spotted in now - New listing on glama ## More in this category 1. **datalab-to/indra** — 6.3 · Early signal · Data & analytics · Python · +142 stars measured 2026-10-15, 00:20–22:36 UTC A 1M-parameter CPU OCR model that turns PDFs and images into markdown, plain text, or JSON with boxes, layout labels, and reading order. Runs on ONNX Runtime without PyTorch, up to 49 pages/s. Full card: https://gitnova.dev/en/r/datalab-to/indra.md 2. **ctresb/leis** — 5.8 · Early signal · Data & analytics · HTML · +92 stars measured 2026-10-15, 15:50–22:36 UTC A collection of all Brazilian laws — 323,849 norms (federal, state and the Constitution) converted from official sources into Markdown with a YAML header and a link to the source. The git history is the timeline: each commit is one law. Full card: https://gitnova.dev/en/r/ctresb/leis.md 3. **opengeos/RustGIS** — 5.6 · Early signal · Data & analytics · Rust · +154 stars measured 2026-10-15, 00:20–22:36 UTC RustGIS is a free, open-source GIS written in pure Rust for mapping, analyzing and sharing geospatial data. It runs natively on Windows, macOS and Linux as well as in the browser via WebAssembly, and it supports over 1,000 geoprocessing… Full card: https://gitnova.dev/en/r/opengeos/RustGIS.md 4. **toddrjones/datasets** — 4.7 · Early signal · Data & analytics · +38 stars measured 2026-10-15, 00:32–22:37 UTC A compilation of 100+ free datasets for social science, applied microeconomics, and data visualization, curated by an applied microeconomist. Some data is public, some requires data agreements. Full card: https://gitnova.dev/en/r/toddrjones/datasets.md 5. **bilawalsidhu/gods-eye-view** — 4.5 · Steady · Data & analytics · JavaScript · +459 stars measured 2026-10-15, 00:21–22:38 UTC A browser-based spy-satellite simulator on a photorealistic 3D globe that unifies public feeds: aircraft, ships, satellites, earthquakes, cameras, and traffic. Runs locally, with each layer as a separate module. Full card: https://gitnova.dev/en/r/bilawalsidhu/gods-eye-view.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-15 22:49 UTC, updated every 30 minutes.