
The AI community's collaborative platform for machine learning models and datasets
36 developer tools in this category
Platforms for building, training, deploying and hosting machine learning models and AI applications.
This category covers the layer beneath the models themselves: places to find and host weights, run inference, track experiments, and ship an ML feature without standing up your own GPU fleet.
The practical question is usually where the boundary sits between what you build and what you rent. Inference-as-a-service is the fastest path to a working feature and the easiest to reason about operationally. Managed training and fine-tuning platforms make sense once you have proprietary data worth adapting a model to. Self-hosting is a real option now that open weights are strong, but it's an infrastructure commitment, not a checkbox.
Model hubs matter more than they first appear: the availability of weights, licences, and a community porting models to usable formats often decides what's actually buildable, independent of which model benchmarks best.

The AI community's collaborative platform for machine learning models and datasets


Continuously improve AI agents with agent observability, evaluation, tracing, and experimentation.

With AssemblyAI's industry-leading Speech AI models, transcribe speech to text and extract insights from your voice data.

Serve and scale open-source and custom AI models on the fastest, most reliable inference platform.

Ship quality agents at scale. Braintrust is the AI observability platform for tracing production, running evals, and catching regressions before they reach users.

Power enterprise voice solutions with Deepgram’s Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Real-time, accurate, and built for scale.


Easiest & most cost-effective way to use Gen AI. fal.ai is how devs integrate dozens of generative media models. FLUX, Kling, Hailuo +1000 more

Firecrawl is the context API to search, scrape, and interact with the web at scale. Turn any source into clean Markdown or structured data your agents can ship with.

Fireworks’ state of the art training and inference platform take you beyond the frontier, transforming open models into your specialized intelligence.


Groq is the premier neocloud for fast inference. One fully integrated platform for infrastructure, inference, and control. Millions of developers run trillions of tokens on Groq every week.

Embeddings, rerankers, web reader, deepsearch, small language models. Search AI for multilingual and multimodal data.

From environments to custom evaluations, we partner with over 90% of leading AI labs in the US and the innovators defining the next frontier of AI.

Trace, evaluate, and improve AI agents with one open platform. Use production data to understand behavior, collaborate on fixes, and ship better quality at lower cost and latency.

Put your full AI stack behind one key. Track and cap LLM spend, route to the right model, and self-host anywhere — even air-gapped. 140+ providers, 1,892 models, 53K+ GitHub stars.

Bionic is LM Studio's agent for work and code. Create documents, slides, PDFs, and software with local or frontier open models.

The largest open source AI engineering platform for agents, LLMs, and ML models. Debug, evaluate, monitor, and optimize your AI applications. Built for teams of all sizes.

Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams.

Ollama is the easiest way to automate your work using open models, while keeping your data safe.

The unified interface for every model. Find the best models & prices for your prompts

The AI Security Platform that catches vulnerabilities in development. Trusted by 156 of the Fortune 500 and 300,000+ developers worldwide.

PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.

Ray is an open source framework for managing, executing, and optimizing compute needs. Unify AI workloads with Ray by Anyscale. Try it for free today.

Everything you need to build and deploy computer vision models, from automated annotation tools to high-performance deployment solutions.

AI infrastructure with on-demand GPUs and serverless compute. Run training, inference, and batch workloads on the cloud with Runpod.

Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

Tavily is the real‑time search engine for AI agents and RAG workflows — Fast and secure APIs for web search and content extraction.

Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.

vector and full-text search built on object storage: fast, 10x cheaper, and extremely scalable

Transform complex, unstructured data into clean, AI-ready inputs. Connect to any source, process 64+ file types, and power your GenAI projects. Start now.

High-throughput and memory-efficient inference and serving engine for Large Language Models. Deploy AI faster with state-of-the-art performance.

Voyage AI provides cutting-edge embedding models and rerankers for search and retrieval
