Data Tools
Local-first ML tools - cluster logs, explore CSVs, generate patterns, simulate A/B tests, and analyze performance profiles entirely in your browser.
Local-first data analysis and visualization. Turn your browser into a powerful data workbench. Our data tools enable you to explore large CSV files, cluster log patterns, and simulate statistical models entirely offline. By leveraging the performance of modern browsers, we provide a seamless experience for data-driven tasks without the latency or privacy risks of cloud-based analysis.
Upload a CSV, Parquet, or JSONL file and run SQL queries on it — powered by DuckDB WASM. No server. Your data never leaves your browser.
Paste raw log lines and instantly cluster repeated patterns using TF-IDF and DBSCAN - runs 100% in your browser via WebAssembly.
Upload a CSV to auto-detect column types, spot missing values, and fit a linear regression - all locally in your browser.
Provide match and non-match string examples; a decision tree learns the pattern and exports it as Rust, JavaScript, or regex.
Train a logistic regression model on A/B experiment observations and use what-if sliders to predict conversion probability.
Upload a Chrome DevTools trace JSON to run PCA and identify which event categories contribute most to latency.