data-profiler-mcp — alternative #1 to Peroxide
🐍 🏠 🍎 🪟 🐧 - Profiles tabular data files (CSV, TSV, Parquet, Excel, JSON) for LLM agents: one-call dataset overview, per-column statistics, a...
Search tools, jump to categories, and open key destinations
Recorded alternatives
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
🐍 🏠 🍎 🪟 🐧 - Profiles tabular data files (CSV, TSV, Parquet, Excel, JSON) for LLM agents: one-call dataset overview, per-column statistics, a...
Python library with multiple transformers to engineer and select features for machine learning models. scikit-learn compatible with fit() an...
graph-based computational library like Theano for Go that provides primitives for building various machine learning and neural network algor...
📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern l...
Industry-standard library for traditional machine learning (classification, regression, clustering, pipelines).
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with Peroxide directly — Oryxen records pricing classes, not live quotes.