Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
ClearML records 20,123 monthly visits with -60.9% month-over-month growth and Contact for Pricing pricing. Dify records 819,691 monthly visits with -15% growth and Freemium pricing.

Open AI infrastructure platform for managing GPU clusters and shipping models to production
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | clear.ml | dify.ai |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 20.12K (20,123) | 819.69K (819,691) |
| MoM Traffic Delta | -31.39K (-60.9%) | -144.26K (-15%) |
| Primary Market & Share | 🇩🇪 Germany (27.4%) | 🇨🇳 China (46.7%) |
| Direct Visits / mo | 6.67K | 470.6K |
| User Rating | 4.3 | 4.8 |
| Supported Platforms | Website | Website |

Open AI infrastructure platform for managing GPU clusters and shipping models to production
Connect and govern GPU clusters across on-prem, cloud, and hybrid setups with multi-tenancy, RBAC, quota management, fractional GPUs, and priority-based scheduling.
A builder workbench with an integrated development environment plus experiment tracking, data integration, dashboards, pipelines, model repository, and CI/CD integration.
Deploy LLMs onto existing clusters with handled networking, authentication, and security, so teams can launch secure model APIs with minimal manual configuration.
Granular cost tracking by compute hours, storage, and API calls lets IT teams allocate spend back to the projects and departments that consume it.

Build, deploy, and govern production-ready agentic AI workflows
A visual canvas where retrieval, branching, tool calls, human review, and model steps form a visible, testable execution path you can debug and hand off.
Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.

Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.

SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.

AI data infrastructure for building production-grade models
AI data infrastructure for building production-grade models

Track, evaluate, and ship AI models and agents in one connected environment.
Track, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.
Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.

Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.
Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.