Alternatives to Datasets

Spotlight is Renumics' open-source Python library for visualizing and curating unstructured datasets as interactive similarity maps.

Open-source Python framework for generating training datasets from sandboxed tool execution traces

Open-source multimodal data engine that turns raw video, images, and audio into training-ready AI datasets.

Prodigy is a downloadable Python annotation tool for building training and evaluation data for custom AI, ML and NLP models.

Raiinmaker sources rights-cleared custom video datasets and runs real-time human evaluation for generative AI video models.

LanceDB is an open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

Microsoft's open-source, code-first Python framework for building stateful, data-intensive conversational AI agents.

Velvet sources, verifies, and delivers curated video datasets so AI labs can train interactive and world models with spatial reasoning.

Applied AI for aviation: pilot-controller training datasets, the Y4 Aviation Understanding Model, and real-time runway incursion risk detection.

OpenAgents is an open-source language agent platform for data analysis, 200+ plugins and autonomous web browsing.

Hugging Face is the open ML hub for hosting and running 2M+ AI models, 500k+ datasets and 1M+ demo apps.

Open-source data labeling platform for AI evaluation, computer vision, document AI, and human-in-the-loop review across every modality.

Julius AI turns plain-English questions about a CSV or Excel file into charts, statistical tests, and regression models — no Python required.

Chat2DB turns plain English into SQL across 40+ databases in an open-source AI SQL client that keeps query execution on your own machine.

Open-source, self-hosted agentic data assistant that connects to your databases, writes SQL and code, and runs analysis in sandboxes

CVAT is an open-source data annotation platform for image, video, 3D point cloud, and audio labeling.

AfterQuery captures expert reasoning and structures it into SFT, RL rubric, agent, and computer-use training data for frontier models.

Buy pre-collected AI training datasets from 900+ domains, or pull live web data at inference time through Bright Data's scraping APIs and

Cortex AI supplies real-workplace egocentric video and robot trajectory data for training embodied AI and robot foundation models.

Snorkel AI builds the expert-curated datasets, evaluation rubrics, and runnable environments that fix where frontier models and agents break.

Open-source annotation platform for text, image, audio, video, 3D data and AI agent traces — configured in YAML, self-hosted for free.

Obviously AI is now Zams — the archived obviously.ai domain shows the old no-code machine learning workflow: CSV in, predictive model out,

Clay is a GTM data enrichment and AI agent workspace that builds custom outbound systems on 200+ data sources

Quadratic is the AI spreadsheet where AI writes Python, SQL, and formulas straight into cells connected to live databases.

PublicAI pays a decentralized workforce in crypto for multi-modal AI training data, annotation, and real coding trajectories.

Pigment is agentic AI for enterprise business planning — Modeler and Analyst agents build and run plans on governed data.

Mercor supplies vetted domain experts and APEX benchmarks to train, evaluate and post-train frontier AI models.

Agentic AI research workflows that turn multi-source text into source-linked, audit-ready reports at enterprise scale.

MindsHub pairs AI agents with a one-key model router and org-level spend controls for your team's AI

Amazon SageMaker unifies data, analytics, and AI on AWS — build, train, and deploy ML models on fully managed infrastructure.