# Dify vs OpenLIT

Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. OpenLIT records 6,028 monthly visits with -18.3% growth and Free pricing.

| Metric | [Dify](https://openaitools.app/tool/dify-ai) | [OpenLIT](https://openaitools.app/tool/openlit) |
| :--- | :--- | :--- |
| Website URL | https://dify.ai | https://openlit.io |
| Categories | AI App Builder, AI Agent, AI Workflow, AI API | Large Language Models (LLMs), AI Developer Tools, AI Monitor, Open Source AI Models |
| Pricing Model | Freemium | Free |
| Monthly Visits | 819,691 | 6,028 |
| MoM Growth Rate | -15% | -18.3% |
| Primary Market | China | United States |
| Direct Visits | 470,604 | 2,375 |
| Review Score | 4.8 | 4.7 |
| Saved Count | 22 | 0 |
| Supported Platforms | Website | Website |

## Dify

Dify pairs a visual canvas with code-level control so both technical and non-technical teams can assemble AI applications and agents. Workflow Studio turns prompt logic into an inspectable execution graph of building blocks: retrieval, branching, tool calls, human-in-the-loop steps, and model calls. Agent builder lets you create agents by chatting or by configuring them directly, then run them as a standalone app, embed them into a website, or reuse them as a node inside a larger workflow.

A major part of the platform is context engineering. The Knowledge Pipeline lets you define repeatable ingestion flows for files, websites, online documents, and cloud drives, handling extraction, cleaning, chunking, indexing, and retrieval testing before a knowledge base is attached to agents or workflows. The Marketplace supplies model providers, tools, data sources, and MCP integrations that teams can install once and then reuse across many apps as approved plugins.

Dify ships in three deployment shapes: Dify Cloud (fully managed SaaS with workspace, logs, and scaling handled for you), Dify Enterprise (self-hosted or VPC deployment with SSO/SAML, RBAC, audit logs, Helm charts for Kubernetes, and enterprise support), and the open-source Community Edition, a source-available single-command Docker deployment with a large GitHub community. Published apps can be delivered as hosted web apps, API endpoints, embeds, or MCP-compatible tools, with logs, feedback, annotations, latency, and usage analytics to keep improving them after launch.

**Pricing & Plans:** Freemium model with a free cloud sandbox and free trial credits, paid Cloud plans that scale with team size, storage, logs, and usage, and a free open-source Community Edition. Dify Enterprise is quoted per deployment via sales.

- **Workflow Studio:** 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.
- **Agent Builder:** Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
- **Knowledge Pipeline:** Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
- **Plugin Marketplace and MCP:** Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.
- **Flexible Deployment and Observability:** Run on managed Cloud, in your VPC, or self-hosted with Docker, and monitor published apps through logs, annotations, feedback, latency, and usage data.

**Strengths:** Combines a visual builder with code-level extensibility in one product; Three deployment options, including a free self-hosted Community Edition; Strong retrieval and knowledge pipeline tooling for RAG applications; Large plugin marketplace plus MCP support reduces integration work

**Limitations:** Self-hosted deployments require real infrastructure and maintenance effort; Complex multi-step workflows take time to learn and tune; Advanced enterprise governance features sit behind a sales-quoted plan

[Profile (Markdown)](https://openaitools.app/tool/dify-ai.md)

## OpenLIT

OpenLIT positions itself as an agent harness engineering platform rather than a single-purpose monitoring tool. The idea is that the model is only one part of a reliable agent; the harness around it — prompts, context, tools, rules, and secrets — is what teams actually need to inspect and fix. OpenLIT brings those pieces together so you can trace what happened, evaluate whether it worked, guard the parts that should not break, and then change the harness without redeploying your application.

Instrumentation is deliberately flexible. Application teams can add an SDK and call openlit.init() to get tracing in-process, while teams that prefer zero-code coverage can use an eBPF-based controller in the Enterprise Edition. For infrastructure visibility there is a GPU collector for NVIDIA, AMD, and Intel cards, and if you already run OpenTelemetry tooling, you can simply point OTLP exporters at your OpenLIT deployment.

Because the project is OpenTelemetry-native and Apache 2.0 licensed, the data path stays portable. Traces and metrics can live in the OpenLIT UI and its ClickHouse-backed store, or be exported to Grafana, Datadog, or any OTLP backend. Storage is built on ClickHouse to keep queries fast across high-volume LLM and agent telemetry, and the whole stack can be self-hosted with Docker Compose or Kubernetes.

**Pricing & Plans:** The open-source edition is the free tier and is licensed under Apache 2.0, covering agent observability, evaluations, guardrails, Prompt Hub, Vault, OpenGround, coding-agent monitoring, and GPU metrics. There is no charge to self-host and no license key required. OpenLIT Cloud is not generally available yet. A separate Enterprise Edition adds capabilities such as the zero-code eBPF controller; check the official pricing page for current enterprise terms.

- **LLM and agent tracing:** Capture OpenTelemetry traces and metrics for every LLM call, tool invocation, retrieval, and agent step, and filter them by user, session, cost, latency, or custom metadata.
- **Evaluations on real traffic:** Score production traffic or experiments with LLM-as-a-judge, heuristic checks, or human review so you can measure accuracy, relevance, and safety over time.
- **Prompt Hub and versioning:** Manage and version prompts in Prompt Hub, then deploy, roll back, and update prompts without shipping new application code.
- **Vault for API keys:** Store and rotate OpenAI, Anthropic, and other LLM API keys outside your codebase with an encrypted, rotating secrets vault.
- **Cost, latency, and GPU monitoring:** Track spend, latency, and quality across AI workloads, and monitor GPU utilization, memory, temperature, and power for NVIDIA, AMD, and Intel hardware.

**Strengths:** OpenTelemetry-native design keeps traces and metrics portable and avoids vendor lock-in; Broad free open-source edition under Apache 2.0 with unlimited self-hosted use; Covers tracing, evals, guardrails, prompts, secrets, cost, and GPU monitoring in one platform; 56+ integrations across LLMs, agent frameworks, and vector databases, plus OTLP ingest from other tools

**Limitations:** Requires you to run and maintain your own ClickHouse and UI deployment to use the open-source edition; OpenLIT Cloud is not generally available, so there is no hosted option for teams that do not want to self-host; Some capabilities like the zero-code eBPF controller are tied to the Enterprise Edition; Feature surface is broad, so new users may need time to navigate the many modules

[Profile (Markdown)](https://openaitools.app/tool/openlit.md)

## Frequently Asked Questions

### How do Dify and OpenLIT compare in monthly traffic?

Dify has 819,691 monthly visits, while OpenLIT has 6,028. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dify has a month-over-month growth rate of -15%; OpenLIT has -18.3%.

### How does pricing compare?

Dify: Freemium. Freemium model with a free cloud sandbox and free trial credits, paid Cloud plans that scale with team size, storage, logs, and usage, and a free open-source Community Edition. Dify Enterprise is quoted per deployment via sales. OpenLIT: Free. The open-source edition is the free tier and is licensed under Apache 2.0, covering agent observability, evaluations, guardrails, Prompt Hub, Vault, OpenGround, coding-agent monitoring, and GPU metrics. There is no charge to self-host and no license key required. OpenLIT Cloud is not generally available yet. A separate Enterprise Edition adds capabilities such as the zero-code eBPF controller; check the official pricing page for current enterprise terms.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | An open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining. | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 4 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | A self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration. | [.md](https://openaitools.app/tool/open-webui.md) |
| 5 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |
| 6 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Provides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases. | [.md](https://openaitools.app/tool/llamaindex.md) |
| 7 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | An open-source automation platform combining visual flows with AI steps, though geared more towards general app integration. | [.md](https://openaitools.app/tool/activepieces.md) |
| 8 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |
| 9 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | AI gateway, observability and guardrails for production LLM apps | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 10 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines. | [.md](https://openaitools.app/tool/relevance-ai.md) |

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Source: https://openaitools.app/compare/dify-ai-vs-openlit

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)