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DataDreamer: DataDreamer: Prompt. Generate Synthetic Data. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match DataDreamer. This is an automatic list. We have not written a researched verdict for DataDreamer 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.
Synthetic data curation for post-training and structured data extraction
Bespoke Curator is an open source Python library from Bespoke Labs for building synthetic data pipelines. It is used to generate and curate data for post training language models and to extract structured information from unstructured inputs, with the library handling the orchestration of large numbers of model calls. ...
Train and serve LLMs at extreme speed and massive throughput.
Surogate is a platform for designing, deploying and monitoring autonomous AI agents without writing code. An agent is assembled from a model, knowledge bases built from documents, sites and repositories, tools including any MCP server, skills and guardrails, then deployed as a managed cloud service that keeps working a...
AG2 Visualized - Build Multi-Agentic Apps with Drag-and-Drop.
Agentok Studio is an open source visual builder for multi agent applications on AG2, the agent framework previously known as AutoGen. Users design agent workflows on a drag and drop canvas and the studio generates self contained Python code that runs anywhere as a normal program. It is aimed at developers who want to ...
A local MCP server for agent literature work.
This open source Model Context Protocol server gives AI agents structured access to arXiv research papers. It runs locally over stdio, installs as a Python package through uvx, and stores downloaded papers on disk so an assistant such as Claude Desktop, Claude Code, OpenAI Codex, VS Code, Cursor or Kiro can search, rea...
Minimalist ML framework for Go.
Candy is a minimalist machine learning framework for the Go programming language, developed by the open source organisation GoCNN. It provides tensor operations, neural network layers, convolutions, flash attention and support for large language models, with an API designed to feel natural to Go developers rather than ...
Curie: Automated and Rigorous Scientific Experimentation with AI Agents
Curie is an open source AI agent framework for automated, rigorous scientific experimentation. Given a research question, it works through the experimental process end to end: formulating hypotheses, designing and running experiments, analyzing results, and documenting the outcome in a report with figures. Its emphasis...