DeepEval vs Future AGI AI Evaluation SDK
DeepEval
deepeval.com
Future AGI AI Evaluation SDK
futureagi.comSide by side
| Figure | DeepEval | Future AGI AI Evaluation SDK |
|---|---|---|
| Price from | $200/mo | $250/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 10 |
| Spec score · AI Agent Evaluation Tools | 9.3 (#1) | 9.3 (#2) |
| Enterprise deployment | The enterprise offering is available on Confident AI Evals and can be self-hosted on a customer's infrastructure or run in the maker's cloud. | The enterprise page offers managed cloud, private cloud in the customer's AWS, GCP, or Azure account, and air-gapped on-premise deployment. |
| Headquarters | San Francisco, California, United States | San Francisco, California, United States; Bengaluru, Karnataka, India |
| Integrations | Listed integrations include LangChain, Pydantic AI, OpenAI Agents, LangGraph, AWS AgentCore, Strands, Google ADK, LlamaIndex, and CrewAI. | Future AGI documents integrations with OpenAI, LangChain, LlamaIndex and more than 30 frameworks. |
| License | The repository and package identify DeepEval as Apache Software License 2.0. | The public platform repository identifies the core as Apache License 2.0 and self-hostable. |
| Purpose | DeepEval is an open-source LLM evaluation framework for building evaluation pipelines to test AI systems. | Future AGI describes itself as an open-source platform for simulating, evaluating, optimizing, monitoring, and protecting AI agents. |
| Rating on G2 | 4.6 out of 5 from 5 reviews | 4.8 out of 5 from 12 reviews. |
| Self-hosting | Confident AI's enterprise service can be deployed on the customer's own infrastructure or used in the vendor cloud. | Future AGI says its Docker Compose self-hosted deployment keeps traces, datasets, evaluations, and model calls within the customer's network. |
| Tracing | DeepEval traces agent steps so they can be graded and inspected in the terminal and test runner. | Its traceAI instrumentation turns LLM calls, tool use, retrieval, and chain steps into OpenTelemetry spans. |
| What it does | DeepEval is an open-source framework for testing and evaluating LLM applications locally or in CI/CD. | Future AGI is an AI reliability platform for simulating, evaluating, protecting, observing, optimizing and routing AI agents. |
Plans
DeepEval
- DeepEvalFree
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
Future AGI AI Evaluation SDK
- FreeFree
- FreeFree
- Pay-as-you-goFree
- Pay-as-you-goFree
- Boost$250 a month
- Boost$250 a month
- Scale$750 a month
- Scale$750 a month
- Enterprise$2,000 a month
- Enterprise$2,000 a month
In their own words
DeepEval
DeepEval is a free, open-source framework for building evaluation pipelines to test AI systems. Its Pytest-native evaluations run in CI/CD or as Python scripts, and the framework lists more than 50 research-backed metrics, including checks for hallucination, faithfulness, answer relevancy, summarization, toxicity and bias. It evaluates text, images and audio, including conversational and voice interactions, using methods such as G-Eval, DAG, QAG and JevEval. DeepEval can generate synthetic goldens from a knowledge base and model conversations across user personas. It also traces agent steps so they can be graded and inspected in a terminal or test runner. Integrations cover agent frameworks including LangChain, Pydantic AI, OpenAI Agents, LangGraph, LlamaIndex and CrewAI, alongside a range of model providers. By default, it sends basic telemetry to PostHog, excluding personally identifiable information and stored results; users can opt out with an environment variable. The maker describes DeepEval OS as for pre-production testing, with results in local files and an engineer-owned test runner. Enterprise capabilities are offered through Confident AI Evals, with self-hosted or maker-cloud deployment options.
Future AGI AI Evaluation SDK
Future AGI AI Evaluation SDK is an open-source platform for evaluating, simulating, optimizing, monitoring, and protecting AI agents. Its evaluation options include heuristic, code, LLM-as-judge, and agentic methods, with templates and CI/CD support. traceAI instrumentation converts LLM calls, tool use, retrieval, and chain steps into OpenTelemetry spans. Simulation supports text and voice tests using personas and scenarios; the Free plan includes 1M text simulation tokens and 60 voice minutes per month. The integrations page lists 79 integrations and SDK packages for Python, TypeScript, and Java, including OpenAI, Anthropic, Google GenAI, Vertex AI, AWS Bedrock, and Azure OpenAI. The Apache 2.0 platform offers Docker and SDK self-hosting options. Future AGI says Docker Compose self-hosting keeps traces, datasets, evaluations, and model calls within the customer's network. The platform is presented for startups and enterprise teams building and operating AI agents, with API, web, self-hosted, Linux, macOS, and Windows options. Free usage pauses at its cap; pay-as-you-go usage continues and may incur overage charges.