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LimiX: LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2609.17488. It is listed under Data & Analytics on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match LimiX. This is an automatic list. We have not written a researched verdict for LimiX yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
TabPFN: Foundation Model for Tabular Data
TabPFN is a pre trained tabular foundation model from Prior Labs that makes predictions on structured data such as spreadsheets and database tables. Instead of training a new model for every dataset, a user fits it to their data and gets predictions in a single forward pass, with no hyperparameter tuning and no feature...
An open-source toolkit for large-scale genomic analysis
Glow is an open source toolkit for large scale genomic analysis, built natively on Apache Spark. It lets researchers aggregate genomic data and run data preparation, statistical analysis and machine learning at biobank scale and beyond, using the same Spark SQL engine that many organizations already use for petabyte cl...
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
Gorse is an open source recommender system engine written in Go. You import items, users and interaction data, and the system automatically trains models to generate recommendations for each user. It aims to be a universal recommender that can be added to a wide range of online services, such as content sites, shops an...
MOA is an open source framework for Big Data stream mining.
MOA, short for Massive Online Analysis, is an open source Java framework for machine learning on data streams, developed at the University of Waikato and related to the WEKA project. It is built for settings where data arrives continuously and models must learn incrementally, and a book about it has been published by M...
nannyml: post-deployment data science in python
NannyML is a post deployment monitoring product for machine learning models. Its core idea is to estimate model performance when ground truth labels are delayed or missing, so a team can see how a model is doing and be alerted when performance drops rather than when data merely drifts. The company says this cuts false ...
Visualizer for neural network, deep learning and machine learning models
Netron is a viewer for neural network, deep learning and machine learning models. It opens a model file and draws its graph so developers and researchers can inspect the layers, operators and structure of a model, which is useful when debugging, converting or documenting models. The viewer supports ONNX, TensorFlow Li...