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ChainForge vs HoneyHive

ChainForge

chainforge.ai

HoneyHive

honeyhive.ai

Side by side

FigureChainForgeHoneyHive
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
API—Yes
Self-hostedYesYes
Plans published12
Spec score · AI Prompt Management Software8.5 (#7)8.0 (#10)
Spec score · Prompt Engineering Tools8.5 (#9)7.8 (#16)
SupportThe homepage directs users to submit GitHub issues or a Google Form for questions, comments or feature requests.The Developer plan includes community support, while Enterprise lists dedicated technical account management and quarterly business reviews.

Plans

ChainForge

  • Free and open-sourceFree

ChainForge pricing →

HoneyHive

  • DeveloperFree
  • EnterprisePriced on request

HoneyHive pricing →

In their own words

ChainForge

ChainForge is an open-source visual programming environment for prompt engineering, LLM evaluation, and experimentation. It can query multiple language models at once and compare results across prompts, models, and model settings. Responses can be scored with code-based or LLM-based evaluators, then plotted for review. Chat Turn nodes support continuing multiple conversations, templating chat messages, and handing a conversation from one model to another. The tool imports JSONL, XLSX, and CSV files and exports inspected response data as XLSX. Listed providers include OpenAI, Anthropic, Google Gemini and PaLM, Hugging Face, Azure OpenAI, Amazon Bedrock, and Ollama. A local installation can add custom providers written as Python completion functions. The web version has a limited feature set; local use supports API keys from environment variables, Python evaluation code, and locally hosted Alpaca or Llama models via Dalai. Web users must set API keys each time they load the app, and the documentation says keys are not stored. ChainForge is available on the web or self-hosted, is free and open source, and is described as an open beta in active development.

Visit chainforge.ai

HoneyHive

HoneyHive is an agent observability platform for observing, evaluating, and improving AI agents in production. It captures traces that expose tool calls, prompts, and agent decisions step by step. Teams can run automated code-based checks, LLM-judge evaluations, and human reviews through annotation queues and custom rubrics. Live traffic monitoring supports score thresholds, drift detection, and email or webhook alerts, while experiments compare agent versions on datasets and track regressions before release. Integrations include LangChain, LangGraph, CrewAI, OpenAI Agents SDK, and Microsoft Copilot Studio. Tracing follows OpenTelemetry semantic conventions, allowing OTel-instrumented libraries to send data without a dedicated guide. HoneyHive also provides cost and token-cost tracking, prompt management, and tracing for LLMs, agents, and retrieval. The free Developer plan costs nothing and includes five users, one workspace, unlimited projects, 10,000 events monthly, 30-day retention, and 1,000 requests per minute. Enterprise has custom pricing and hosting options.

Visit honeyhive.ai