InsightPrompts vs Langfuse
InsightPrompts
insightprompts.com
Langfuse
langfuse.comSide by side
| Figure | InsightPrompts | Langfuse |
|---|---|---|
| Price from | — | $29/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 10 |
| Spec score · AI Prompt Management Software | 7.9 (#11) | 9.1 (#3) |
| Experiments | Champion-challenger experiments compare prompt variants on live traffic, with guardrails and an option to auto-promote a variant that wins on its rubric. | The UI can run prompt or model experiments over datasets and compare results side by side, optionally applying evaluators. |
| Headquarters | Millburn, New Jersey, USA | Berlin, Germany; San Francisco, United States |
| Integrations | The deployment documentation names SharePoint, data warehouses, and Power BI as cloud connectors configured in the app. | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. |
| Security | The site describes enterprise SSO via LDAP, SAML, or OAuth and fine-grained role-based access controls. | Langfuse reports annual SOC 2 Type II and ISO 27001 audits, external penetration tests, encryption, access controls, GDPR compliance, and a HIPAA-ready region. |
| Support | The contact page says the team responds to inquiries within 24 hours and offers demos and deployment scoping. | Hobby includes community support via GitHub, Core includes in-app support, Pro includes prioritized in-app support, and Enterprise includes support SLA and a named lead support engineer. |
Plans
Langfuse
- HobbyFree
- HobbyFree
- Core$29 a month
- Core$29 a month
- Pro$199 a month
- Pro$199 a month
- Teams Add-on$300 a month
- Teams Add-on$300 a month
- Enterprise$2,499 a month
- Enterprise$2,499 a month
In their own words
InsightPrompts
InsightPrompts is an enterprise platform for creating, evaluating, and governing certified AI prompts. Authors can build prompts with reusable templates, variables, few-shot examples, and metadata tags, then test them against curated sets using LLM judges and reusable validation rubrics. Champion-challenger experiments compare prompt variants on live traffic with safety and cost guardrails; a winning variant can be promoted automatically according to its rubric. Prompts are versioned and diffable, and multi-stage approvals provide role-aware sign-off. Scorecards track latency, cost, judge scores, and user feedback, while conversation traces record the prompt, version, judge score, and user. Developers can use a REST API and SDKs for Python, Node, and Java. The maker describes SSO through LDAP, SAML, or OAuth and fine-grained role-based access controls. Deployment is available in customer cloud accounts or on-premises, and the maker says customer data stays in the customer environment. A Docker Compose installation includes a web UI, API, and MySQL database. Pricing is available by inquiry.
Langfuse
Langfuse is an open-source AI engineering platform for teams debugging, analyzing, and iterating on AI agent applications. Its tracing records prompts, model responses, token use, latency, tool calls, retrieval steps, and metadata. Prompt Management stores, versions, deploys, and tests prompts, then links them to traces. Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. Integrations include Python and JS/TS SDKs, OpenTelemetry, an API, CLI, MCP Server, and popular AI frameworks. Teams can self-host the MIT-licensed core on customer infrastructure using Docker, with options including Docker Compose, Kubernetes, AWS, and Azure. Langfuse reports annual SOC 2 Type 2 and ISO 27001 audits, external penetration tests, GDPR compliance, a DPA, and a HIPAA-ready region. Its Cloud traffic uses TLS 1.2+ and stored data uses AES-256 encryption. The free Hobby plan is free and includes 50k units per month, 30 days of data access, two users, and community support via GitHub. Core costs $29 a month, billed monthly.