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Surogate: Train and serve LLMs at extreme speed and massive throughput. 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 Surogate. This is an automatic list. We have not written a researched verdict for Surogate 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. ...
DataDreamer: Prompt. Generate Synthetic Data.
DataDreamer is an open source Python library for prompting, synthetic data generation and model training workflows. Its authors describe it as simple, efficient and research grade. A single Python script can load a large language model, generate a synthetic dataset from an instruction, transform that dataset with furth...
Build, personalize and control your own LLMs.
xTuring is an open source Python library for personalizing large language models. It is built for developers and researchers who want to fine tune a model on their own data and run it under their own control, with a deliberately simple interface so that the same workflow suits beginners and experienced engineers. The ...
Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
BrowserAI is an open source JavaScript library for running small language models locally inside a web browser. It uses WebGPU and WebAssembly to load and run models on the user's own device, so an application can generate text, hold a chat or process speech without calling a cloud API, holding API keys or maintaining s...
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 ...
Instant no code DATA API platform for relational databases.
DB2Rest is an open source service that puts an instant REST data API in front of an existing database, removing the need to hand write a data access layer. Developers point it at a database and immediately get HTTP endpoints for reading and writing data, which lets frontend and backend teams build against the data with...