garak vs Maxim AI
garak
garak.aiMaxim AI
getmaxim.aiSide by side
| Figure | garak | Maxim AI |
|---|---|---|
| Price from | Free | $29/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · LLM Evaluation Tools | 7.8 (#12) | 8.1 (#8) |
| Integrations | The project lists support for OpenAI, Hugging Face, Cohere, Replicate, AWS Bedrock, LiteLLM, REST-accessible models, and custom Python integrations. | The site lists LangChain, LangGraph, OpenAI, OpenAI Agents, LiveKit, Crew AI, Agno, LiteLLM, Anthropic, Bedrock, and Mistral integrations. |
| Support | The project points users to its user guide, reference documentation, Discord, GitHub issues, and an NVIDIA email address for support. | Developer and Professional plans list email support, Business lists private Slack support, and Enterprise lists a dedicated customer success manager. |
Plans
Maxim AI
- DeveloperFree
- Professional$29 a month
- Business$49 a month
- EnterprisePriced on request
In their own words
garak
garak is a command-line scanner for probing language models and systems that use them for security weaknesses. Its checks cover issues such as hallucination, data leakage, prompt injection, misinformation, toxicity generation, and jailbreaks. Probes try to elicit failures, while detectors inspect responses for patterns such as unsafe content or a failure to refuse. A standard scan can run without supervision and produce a report, with scan settings available for customization. Integrations include OpenAI, Hugging Face, Cohere, Replicate, AWS Bedrock, LiteLLM, REST-accessible models, and custom Python integrations. Hugging Face models can run locally or be accessed through an inference API or private endpoint. Output includes screen results, a detailed report log, a hit log, and a debug log. garak assesses text output only. It is developed in Linux and OSX and can be installed with pip or from source; listed platforms include Linux, macOS, Windows, and self-hosted use. It is free, with a free plan and no free trial. Listed capabilities include custom metrics, LLM-as-a-judge, and safety evaluations.
Maxim AI
Maxim AI is an evaluation and observability platform for teams building AI agents. Its prompt IDE lets teams try prompts, models, tools, and context, manage prompt versions, create low-code chains, and deploy prompts without code changes. Teams can simulate agents in varied scenarios and assess them with preset or custom metrics. In production, workflow traces, live debugging, online evaluations, and regression alerts help teams monitor agents. Evaluators include LLM-as-a-judge, statistical, programmatic, and human options; teams can use synthetic or custom multimodal datasets. Product managers can define and analyze evaluations in a no-code UI, while developers can use SDKs, a CLI, and webhooks. SDKs are listed for Python, TypeScript, Java, and Go. Maxim supports web, API, and self-hosted deployment, with enterprise VPC deployments available. The Developer plan is free; Professional costs $29/user/mo and a 14-day trial is available. The free plan has up to 3 seats, 1 workspace, 10k monthly logs, and 3-day data retention.