# Langtail vs n8n

Langtail records 4,213 monthly visits with +10% month-over-month growth and Freemium, Paid pricing. n8n records 4,522,449 monthly visits with -7.4% growth and Freemium pricing.

| Metric | [Langtail](https://openaitools.app/tool/langtail) | [n8n](https://openaitools.app/tool/n8n) |
| :--- | :--- | :--- |
| Website URL | https://langtail.com | https://n8n.io |
| Categories | Large Language Models (LLMs), AI Testing, No-Code&Low-Code, Prompt Engineering | AI Workflow, AI Agent, No-Code&Low-Code, AI Developer Tools |
| Pricing Model | Freemium, Paid | Freemium |
| Monthly Visits | 4,213 | 4,522,449 |
| MoM Growth Rate | +10% | -7.4% |
| Primary Market | United States | India |
| Direct Visits | 1,680 | 1,565,199 |
| Review Score | 4.4 | 4.7 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## Langtail

Langtail is built around a single premise: LLM output is unpredictable, and the way to regain control is to treat prompts as managed production assets. Instead of scattering prompt strings through application code, teams write them in a spreadsheet-like editor, run them through evaluation suites, version the changes, and invoke them by name from a typed SDK or the OpenAPI interface. A TypeScript SDK with code completion makes the same prompts callable from application code, so what a product manager edits in the UI is exactly what ships.

The observability layer is what makes testing meaningful. Every invocation is logged, so you can inspect inputs, outputs, latency, and cost, then trace a bad answer back to a prompt change or a model switch. Evaluation supports natural-language assertions, regex-style pattern matching, or fully custom code, and teams can experiment with models and parameters side by side to find the combination that performs best. Langtail positions this as essential infrastructure rather than a nice-to-have, using publicised incidents where unguarded chatbots misfired to make the point.

Security rounds out the platform. The AI Firewall is a one-click integration that inspects traffic for prompt injection, denial-of-service patterns, and information leakage, with content filtering you can tune and alerts for unusual activity. The platform works with all major model providers and exposes a public API and status page; enterprise customers can self-host for maximum data control, while a free tools section offers extras such as a prompt improver and an LLM price comparison outside the paid plans.

**Pricing & Plans:** Free tier of $0/month with unlimited users, 2 prompts or assistants, 1,000 logs per month, and 30 days of data retention. Pro is $99/month for a single user with 20 prompts, unlimited logs, 90-day retention. Team is $499/month for 10 users with unlimited prompts, unlimited logs, one-year retention, and Radars & Alerts. Enterprise is custom and adds the AI Firewall, self-hosting, and dedicated support. Prices exclude VAT.

- **Spreadsheet-style prompt editor:** Build, test, and version prompts in a table-based editor that anyone comfortable with spreadsheets can use.
- **Automated evaluation and test runs:** Add natural-language assertions, pattern matching, or custom code checks and run them over datasets to catch regressions.
- **Request logging and observability:** Trace every request and response, inspect latency and cost, and diagnose why an LLM answered the way it did.
- **AI Firewall and safety checks:** One-click AI Firewall blocks prompt injection, denial-of-service attempts, and information leaks with customisable content filtering and alerts.
- **Multi-provider support and versioning:** Compare OpenAI, Anthropic, Gemini, Mistral and more, and roll out prompt changes through versioned environments.

**Strengths:** Non-developers can manage prompts without touching the codebase; Evaluation and log inspection live alongside prompt editing; Works across all major LLM providers, avoiding lock-in; Self-hosting on Enterprise answers strict data-control requirements

**Limitations:** Pro plan supports only a single user, so small teams may need the pricier Team tier; Log limits and retention windows differ sharply between tiers; Feature depth is aimed at production teams rather than one-off prompt experiments; Self-hosting and the AI Firewall sit behind the Enterprise plan

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

## n8n

n8n is a workflow automation platform built for technical teams who want automation they can actually read and audit. Rather than hiding logic behind opaque configuration, every step stays open: you can see what a node does and explain the whole flow to whoever runs it. It combines a drag-and-drop visual builder with the ability to drop into code at any point, so simple tasks stay simple while complex ones remain possible.

A major focus of the current product is AI agents. You can connect any model, watch an agent work step by step in the same workflow view, open past runs, and constrain behaviour with structured inputs and outputs, rule-based automation and human-in-the-loop approval gates. That makes it practical to put agents into processes like refund handling, alert triage, lead qualification and security investigation without losing control.

n8n is open source and can be self-hosted on-prem or with Docker to keep data in your own environment, or used as a hosted service. Enterprise capabilities add SSO with SAML and LDAP, RBAC, encrypted secret stores, audit logs, log streaming to SIEM systems, isolated environments and Git-based control. Integrations span 500+ native services, arbitrary HTTP APIs and MCP connections to agents and coding assistants.

**Pricing & Plans:** n8n offers a free self-hosted open-source edition, a paid cloud service with a free trial, tiered paid plans, and enterprise pricing on request. Feature limits scale with plan tier, so check the official pricing page for current details.

- **Visual builder with code escape hatch:** Build automations with a visual node editor, then insert JavaScript or Python code nodes when you need custom logic.
- **500+ integrations and any API:** Connect to 500+ native services, any REST API via HTTP nodes, and any agent or coding assistant through MCP.
- **AI agents you can follow and trust:** Run agents alongside regular steps, inspect every decision, and add structured inputs, guardrails and human approval steps.
- **Observability and reproducible runs:** Watch workflows execute live, open past runs, replay a run with mocked data and re-run just the step that failed.
- **Self-host or cloud with governance:** Deploy on your own infrastructure with Docker or on-prem, or use the hosted cloud product, with version history and RBAC.

**Strengths:** Open source and self-hostable, keeping data in your own environment; Visual builder plus full code access for complex workflows; Strong observability: live runs, past-run inspection and step-level retries; 500+ integrations and generic HTTP nodes cover almost any service

[Profile (Markdown)](https://openaitools.app/tool/n8n.md)

## Frequently Asked Questions

### How do Langtail and n8n compare in monthly traffic?

Langtail has 4,213 monthly visits, while n8n has 4,522,449. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Langtail has a month-over-month growth rate of +10%; n8n has -7.4%.

### How does pricing compare?

Langtail: Freemium, Paid. Free tier of $0/month with unlimited users, 2 prompts or assistants, 1,000 logs per month, and 30 days of data retention. Pro is $99/month for a single user with 20 prompts, unlimited logs, 90-day retention. Team is $499/month for 10 users with unlimited prompts, unlimited logs, one-year retention, and Radars & Alerts. Enterprise is custom and adds the AI Firewall, self-hosting, and dedicated support. Prices exclude VAT. n8n: Freemium. n8n offers a free self-hosted open-source edition, a paid cloud service with a free trial, tiered paid plans, and enterprise pricing on request. Feature limits scale with plan tier, so check the official pricing page for current details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Unmatched ecosystem of app connectors and reliability, but significantly more expensive and lacks n8n's self-hosting freedom. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 4 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Outstanding open-source visual canvas for RAG pipelines and LLM agents, but less suited for general API integrations. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Multiplayer AI where people and agents work side by side | [.md](https://openaitools.app/tool/dust.md) |
| 7 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 8 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Powerful visual builder specifically tailored for complex AI agent workflows, but less mature for traditional enterprise automation. | [.md](https://openaitools.app/tool/gumloop.md) |
| 9 | [Pipedream](https://openaitools.app/tool/pipedream) | 312,216 | -14.3% | Freemium, Paid, Contact for Pricing | Developer-first integration platform with granular code control, but lacks n8n's visual node-based workflow builder. | [.md](https://openaitools.app/tool/pipedream.md) |
| 10 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Enterprise-grade security and robust workflow automation, but less focused on open-source self-hosting and consumer use cases. | [.md](https://openaitools.app/tool/tines.md) |

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Source: https://openaitools.app/compare/langtail-vs-n8n

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