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Hopsworks: Hopsworks - Data-Intensive AI platform with a Feature Store. 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 Hopsworks. This is an automatic list. We have not written a researched verdict for Hopsworks 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.
A Python client for the Neo4j Graph Data Science (GDS) library
Graph Data Science is Neo4j's analytics and machine learning product for working with connected data. It lets teams run graph algorithms over the relationships in their data to improve predictions and uncover insights that are hard to see in tabular views. Neo4j places Graph Data Science in its self managed range along...
Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).
imodels is an open source Python package for concise, transparent and accurate predictive modeling. It gives data scientists a scikit learn compatible interface to interpretable models, so a classifier or regressor can be imported, fitted and used with the familiar fit and predict methods. The aim is to replace black b...
Build, run, and manage data pipelines for integrating and transforming data.
Mage AI is an AI data engineering platform for running production data pipelines. It describes itself as putting pipelines on autopilot: it checks data quality, diagnoses and recovers from failures, and optimizes performance as data grows. Users can describe what they need and have AI create a scheduled pipeline with ...
Machine Learning in R
The mlr package is a machine learning framework for the R programming language. It provides a single interface to a large number of classification, regression, survival analysis and clustering methods, so users do not need to write separate wrappers for each algorithm in R. Around that interface it supplies the surrou...
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 ...
The backend agents build with - Multimodal database, orchestration, and serving in one file
Pixeltable is a unified multimodal backend that combines a database, orchestration and serving in a single Python file. It is designed for applications that process images, video, audio and documents alongside ordinary columns, and for the agents and AI pipelines built on top of that data. A developer declares tables ...