Loading...
Loading...
Imodels: Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). 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 Imodels. This is an automatic list. We have not written a researched verdict for Imodels 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.
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 ...
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 ...
AI Infra / AI Orchestration / AI Control Plane
Polyaxon is an open source control plane for running machine learning and AI workloads on Kubernetes. It schedules, tracks and governs training jobs, services, notebooks, agent sessions and sandboxes on the customer's own clusters, so data, models, logs and artifacts stay inside infrastructure the customer controls. I...
Postgres with GPUs for ML/AI apps.
PostgresML is a Postgres database with GPUs attached for machine learning and AI applications. It keeps vectors, models and application data in one place, so a team can create embeddings, index, filter and rank vectors, and run inference and grounded answers directly in SQL instead of operating a separate vector databa...
Multi-class confusion matrix library in Python
PyCM is a multi class confusion matrix library written in Python. It is used to evaluate classification models after training, accepting either input data vectors or a ready made matrix and then computing a broad set of per class and overall statistics from it. The project describes itself as the swiss army knife of co...
Graph-Native Infrastructure for Context and Accountable AI Systems
Semantica is a governed context and semantic layer for enterprise AI. It sits between data sources and AI agents, turning documents, streams and databases into structured context, business semantics and provenance that an LLM, vector store or agent framework can reason over. The aim is that every fact traces to its sou...