# Langtail vs PromptMage

Langtail records 4,213 monthly visits with +10% month-over-month growth and Freemium, Paid pricing. PromptMage records 0 monthly visits with 0% growth and Free pricing.

| Metric | [Langtail](https://openaitools.app/tool/langtail) | [PromptMage](https://openaitools.app/tool/promptmage) |
| :--- | :--- | :--- |
| Website URL | https://langtail.com | https://promptmage.io |
| Categories | Large Language Models (LLMs), AI Testing, No-Code&Low-Code, Prompt Engineering | AI Developer Tools, Large Language Models (LLMs), Prompt Engineering, AI Workflow |
| Pricing Model | Freemium, Paid | Free |
| Monthly Visits | 4,213 | 0 |
| MoM Growth Rate | +10% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 1,680 | 0 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 0 | 0 |
| 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)

## PromptMage

PromptMage is an open-source Python framework built to simplify the development of complex, multi-step applications powered by large language models. Rather than treating prompts as throwaway strings scattered through code, it makes prompts first-class citizens with built-in version control, so teams can track changes, compare iterations, and collaborate on the exact wording that drives their application.

The framework centers on a workflow that mirrors how good LLM apps actually get built. You define and iterate on prompts inside an integrated playground, evaluate them with manual and automatic testing, and then expose the resulting logic through an automatically generated FastAPI backend. That combination means the same artifact you prototype in is the one you deploy, cutting the drift between experimentation and production.

PromptMage is designed as a self-hosted solution, which suits teams that want prompt and data handling to stay within their own infrastructure. It is aimed at both small teams and larger enterprises, and the project positions itself as a pragmatic answer to the gap in LLM workflow management. Because it is self-hosted and open source, there is no per-seat fee for the framework itself, though the LLM providers your application calls are billed separately. The project documentation carries an explicit warning that PromptMage is in alpha state and under active development, so APIs and features may change at any time.

**Pricing & Plans:** Free and open source. PromptMage is a self-hosted framework with no listed subscription or per-seat pricing; you pay only for the LLM APIs and infrastructure your application uses.

- **Integrated version control for prompts:** Treat prompts as first-class artifacts with built-in versioning, so you can track how each prompt evolves and collaborate with teammates without losing earlier iterations.
- **Interactive prompt playground:** Test, compare, and refine prompts in an intuitive playground built into your workflow, enabling rapid iteration rather than ad-hoc copy-paste testing.
- **Auto-generated FastAPI API:** Prompts and workflows defined in PromptMage are exposed through an automatically generated FastAPI backend for straightforward integration and deployment.
- **Evaluation and testing mode:** Assess prompt quality with manual and automatic testing before shipping, so you know how a change affects output reliability across scenarios.
- **Self-hosted deployment:** Run the whole framework on your own laptop or server, keeping prompts, workflows, and data inside infrastructure you control.
- **Typed, Pythonic building:** Type hints are used throughout for automatic inference and validation, reducing boilerplate when composing multi-step LLM logic.

**Strengths:** Free and open source, with no vendor lock-in; Self-hosted, so prompts and data stay in your own infrastructure; Bundles version control, a playground, testing, and API generation in one framework; FastAPI auto-generation removes boilerplate between prototype and deployment

**Limitations:** Explicitly labeled alpha, so the API and features may change without notice; Self-hosted only — you need to run and maintain the server yourself; Requires Python and LLM API experience to get real value; Documentation, while solid, is still maturing alongside the framework

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

## Frequently Asked Questions

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

Langtail has 4,213 monthly visits, while PromptMage has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Langtail has a month-over-month growth rate of +10%; PromptMage has 0%.

### 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. PromptMage: Free. Free and open source. PromptMage is a self-hosted framework with no listed subscription or per-seat pricing; you pay only for the LLM APIs and infrastructure your application uses.

## 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 | [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) |
| 3 | [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) |
| 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 5 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) |
| 6 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 7 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) |
| 8 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Build, simulate, evaluate and monitor self-improving AI agents | [.md](https://openaitools.app/tool/future-agi.md) |
| 9 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Evaluate, monitor, and govern your AI applications in production | [.md](https://openaitools.app/tool/maxim-ai.md) |
| 10 | [testRigor](https://openaitools.app/tool/testrigor-com) | 105,865 | -2.7% | Free Trial, Contact for Pricing, Free | Write end-to-end test automation in plain English, no code required | [.md](https://openaitools.app/tool/testrigor-com.md) |

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

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