Humanloop Is sunsetting -Migrate to LangWatch with Full Support for Traces and LLM Evaluations
Manouk Draisma
Jul 18, 2025
This month, July 2025, Humanloop shared that it has been acquired and will sunset its platform on September 8th, 2025. This includes shutting down access to its LLM observability, evaluation, and prompt management tools.
If you're one of the many teams depending on Humanloop for LLM evaluations, trace logs, or experimentation workflows, now is the time to plan your migration.
LangWatch is the ideal Humanloop alternative and we’re offering free, supported, automated migration to help you make the switch quickly and confidently.
Why LangWatch is a natural Humanloop alternative
LangWatch is built for engineering and AI teams that want to ship LLM-powered applications with confidence. Whether you're using Humanloop for evaluations, observability, or prompt development, we cover the same use cases, while offering more flexibility and depth.
🔍 Comparing LangWatch to LangSmith, Langfuse, and Braintrust
If you're evaluating alternatives after Humanloop’s sunset, you’ll likely run into Langfuse, LangSmith, and Braintrust. Here's how LangWatch stacks up across the core features AI teams care about
Capability | LangWatch | HumanLoop | LangSmith | Langfuse | Braintrust |
|---|---|---|---|---|---|
Core Purpose | Agent testing, evaluations & observability | LLM Evaluations | LangChain/LangGraph ops | LLM observability | Prompt evaluation & prompt debugging |
Open Source | ✅ Yes | ❌ No | ❌ No | ✅ Yes | ✅ Yes |
Observability | ✅ Full tracing, automation triggers, alerts, custom metrics | ✅ | ✅ | ✅ Broader SDK support, no automation | 🔶 Basic, for prompts |
OpenTelemetry Support | ✅ Native OTEL support | ❌ No | 🔶 Limited endpoint, no SDK OTEL | 🔶 Requires low-level OTEL setup | ❌ No OTEL |
Custom Metrics & Dashboards | ✅ Built-in, API accessible | ✅ | 🔶 Limited dashboards | 🔶 Limited dashboards | ❌ None |
Prompt Management | ✅ Prompt experimentation & versioning | ✅ | ✅ Better LangChain compatibility | 🔶 Limited prompt UI | ✅ Built-in prompt versioning |
Evaluations (Platform) | ✅ GUI + workflows for devs & PMs | ✅ | 🔶 Basic prompt eval UI | 🔶 Scores via trace logs only | ✅ Strong eval UX |
Evaluations (Code) | ✅ W&B-style API, DSPy support | ❌ | 🔶 Weird ergonomics | 🔶 Small eval lib | ✅ Python SDK + templates |
Guardrails and alerting | ✅ Built-in rules engine & alerting | ❌ | 🔶 Only via code | 🔶 Manual setup only | ❌ None |
DSPy Support | ✅ Native DSPy integration, optimization studio | ❌ | ❌ No | ❌ No | 🔶 Partial (custom plugin) |
Agent Simulation | ✅ Multi-turn, API/tool call evals | ❌ | ❌ No | ❌ No | ❌ No |
Dataset Management | ✅ Any format, Excel-style editing | ✅ | 🔶 Forced schema | 🔶 Fixed schema | ✅ Good dataset UX |
Annotations | ✅ Google Docs-style queues & comments | ✅ Experiment annotations | ✅ Annotation queues | ✅ Feedback dashboard | |
UI/UX | Dev & PM friendly for collaboration | Dev & PM friendly for collaboration | Dev-focused | Dev-focused | Clean |
Free Migration Support: From Humanloop to LangWatch
We’ve already helped teams move from Humanloop to LangWatch with minimal effort. Our support includes:
One-on-one onboarding to understand your current setup
Scripted exports for Humanloop traces and evaluation results
Data conversion to LangWatch-compatible formats
Rebuilding key flows like evals, traces, and tagging
SDK/API setup tailored to your stack (LangChain, OpenAI SDK, etc.)
Whether you’re tracking prompt performance or evaluating agent behavior, we make sure you don’t lose history or momentum.
Evaluation, Observability & AI Agent Testing in one platform
LangWatch doesn’t just replace Humanloop. It extends what’s possible with modern GenAI development workflows:
Advanced Evaluations: Use judge models, custom Python metrics, or DSPy-style logic to test prompts, models, or entire pipelines.
Production Observability: Every trace, version, and user feedback is captured and queryable.
Agent Simulations: Run complex tests on multi-step agent flows to prevent regressions before they ship.
Hybrid/On-Prem Friendly: No need to send sensitive data to our cloud. You control your runtime environment.
Guardrails: Set up alerts and quality thresholds to catch failures in real-time.
Who is LangWatch for?
AI product teams validating prompt strategies and model performance
LLM engineers building agent-based tools or multi-step pipelines
Platform teams standardizing evaluation and audit processes
Fintech, B2B SaaS, and regulated industries needing control over the LLM outputs and AI agents
Team experimenting with AI agents and are unsure to put them in production without the right control.
Whether you’re a scale-up or scaling enterprise, LangWatch offers the observability and control that Humanloop users expect, with greater flexibility.
"Now we have enterprise-grade baselines. When we deploy new versions, we instantly validate performance against our quality standards — it's given us tremendous confidence in our releases.”
— Amit head of AI @Roojoom
About LangWatch
Humanloop helped pave the way for LLMOps. But the landscape has evolved—and so have the needs of AI teams.
LangWatch is your next step forward: a powerful, extensible, and secure evaluation platform designed for long-term impact.
You don’t need to start over.
You just need to move forward with another solution.
LangWatch is the LLMOps platform built for AI product teams that demand quality, traceability, and reliability. We combine LLM evaluations, prompt trace observability, AI agent testing, and guardrails, in a single streamlined interface.
Start your migration for LLM observability & Evaluations today
Migration takes less than a day. You’ll get:
Data converted and imported
Evals rebuilt and validated
Prompt logs fully observable
Your team onboarded and ready
👉 Book your free migration call
📩 Or email us at support@langwatch.ai
This month, July 2025, Humanloop shared that it has been acquired and will sunset its platform on September 8th, 2025. This includes shutting down access to its LLM observability, evaluation, and prompt management tools.
If you're one of the many teams depending on Humanloop for LLM evaluations, trace logs, or experimentation workflows, now is the time to plan your migration.
LangWatch is the ideal Humanloop alternative and we’re offering free, supported, automated migration to help you make the switch quickly and confidently.
Why LangWatch is a natural Humanloop alternative
LangWatch is built for engineering and AI teams that want to ship LLM-powered applications with confidence. Whether you're using Humanloop for evaluations, observability, or prompt development, we cover the same use cases, while offering more flexibility and depth.
🔍 Comparing LangWatch to LangSmith, Langfuse, and Braintrust
If you're evaluating alternatives after Humanloop’s sunset, you’ll likely run into Langfuse, LangSmith, and Braintrust. Here's how LangWatch stacks up across the core features AI teams care about
Capability | LangWatch | HumanLoop | LangSmith | Langfuse | Braintrust |
|---|---|---|---|---|---|
Core Purpose | Agent testing, evaluations & observability | LLM Evaluations | LangChain/LangGraph ops | LLM observability | Prompt evaluation & prompt debugging |
Open Source | ✅ Yes | ❌ No | ❌ No | ✅ Yes | ✅ Yes |
Observability | ✅ Full tracing, automation triggers, alerts, custom metrics | ✅ | ✅ | ✅ Broader SDK support, no automation | 🔶 Basic, for prompts |
OpenTelemetry Support | ✅ Native OTEL support | ❌ No | 🔶 Limited endpoint, no SDK OTEL | 🔶 Requires low-level OTEL setup | ❌ No OTEL |
Custom Metrics & Dashboards | ✅ Built-in, API accessible | ✅ | 🔶 Limited dashboards | 🔶 Limited dashboards | ❌ None |
Prompt Management | ✅ Prompt experimentation & versioning | ✅ | ✅ Better LangChain compatibility | 🔶 Limited prompt UI | ✅ Built-in prompt versioning |
Evaluations (Platform) | ✅ GUI + workflows for devs & PMs | ✅ | 🔶 Basic prompt eval UI | 🔶 Scores via trace logs only | ✅ Strong eval UX |
Evaluations (Code) | ✅ W&B-style API, DSPy support | ❌ | 🔶 Weird ergonomics | 🔶 Small eval lib | ✅ Python SDK + templates |
Guardrails and alerting | ✅ Built-in rules engine & alerting | ❌ | 🔶 Only via code | 🔶 Manual setup only | ❌ None |
DSPy Support | ✅ Native DSPy integration, optimization studio | ❌ | ❌ No | ❌ No | 🔶 Partial (custom plugin) |
Agent Simulation | ✅ Multi-turn, API/tool call evals | ❌ | ❌ No | ❌ No | ❌ No |
Dataset Management | ✅ Any format, Excel-style editing | ✅ | 🔶 Forced schema | 🔶 Fixed schema | ✅ Good dataset UX |
Annotations | ✅ Google Docs-style queues & comments | ✅ Experiment annotations | ✅ Annotation queues | ✅ Feedback dashboard | |
UI/UX | Dev & PM friendly for collaboration | Dev & PM friendly for collaboration | Dev-focused | Dev-focused | Clean |
Free Migration Support: From Humanloop to LangWatch
We’ve already helped teams move from Humanloop to LangWatch with minimal effort. Our support includes:
One-on-one onboarding to understand your current setup
Scripted exports for Humanloop traces and evaluation results
Data conversion to LangWatch-compatible formats
Rebuilding key flows like evals, traces, and tagging
SDK/API setup tailored to your stack (LangChain, OpenAI SDK, etc.)
Whether you’re tracking prompt performance or evaluating agent behavior, we make sure you don’t lose history or momentum.
Evaluation, Observability & AI Agent Testing in one platform
LangWatch doesn’t just replace Humanloop. It extends what’s possible with modern GenAI development workflows:
Advanced Evaluations: Use judge models, custom Python metrics, or DSPy-style logic to test prompts, models, or entire pipelines.
Production Observability: Every trace, version, and user feedback is captured and queryable.
Agent Simulations: Run complex tests on multi-step agent flows to prevent regressions before they ship.
Hybrid/On-Prem Friendly: No need to send sensitive data to our cloud. You control your runtime environment.
Guardrails: Set up alerts and quality thresholds to catch failures in real-time.
Who is LangWatch for?
AI product teams validating prompt strategies and model performance
LLM engineers building agent-based tools or multi-step pipelines
Platform teams standardizing evaluation and audit processes
Fintech, B2B SaaS, and regulated industries needing control over the LLM outputs and AI agents
Team experimenting with AI agents and are unsure to put them in production without the right control.
Whether you’re a scale-up or scaling enterprise, LangWatch offers the observability and control that Humanloop users expect, with greater flexibility.
"Now we have enterprise-grade baselines. When we deploy new versions, we instantly validate performance against our quality standards — it's given us tremendous confidence in our releases.”
— Amit head of AI @Roojoom
About LangWatch
Humanloop helped pave the way for LLMOps. But the landscape has evolved—and so have the needs of AI teams.
LangWatch is your next step forward: a powerful, extensible, and secure evaluation platform designed for long-term impact.
You don’t need to start over.
You just need to move forward with another solution.
LangWatch is the LLMOps platform built for AI product teams that demand quality, traceability, and reliability. We combine LLM evaluations, prompt trace observability, AI agent testing, and guardrails, in a single streamlined interface.
Start your migration for LLM observability & Evaluations today
Migration takes less than a day. You’ll get:
Data converted and imported
Evals rebuilt and validated
Prompt logs fully observable
Your team onboarded and ready
👉 Book your free migration call
📩 Or email us at support@langwatch.ai
This month, July 2025, Humanloop shared that it has been acquired and will sunset its platform on September 8th, 2025. This includes shutting down access to its LLM observability, evaluation, and prompt management tools.
If you're one of the many teams depending on Humanloop for LLM evaluations, trace logs, or experimentation workflows, now is the time to plan your migration.
LangWatch is the ideal Humanloop alternative and we’re offering free, supported, automated migration to help you make the switch quickly and confidently.
Why LangWatch is a natural Humanloop alternative
LangWatch is built for engineering and AI teams that want to ship LLM-powered applications with confidence. Whether you're using Humanloop for evaluations, observability, or prompt development, we cover the same use cases, while offering more flexibility and depth.
🔍 Comparing LangWatch to LangSmith, Langfuse, and Braintrust
If you're evaluating alternatives after Humanloop’s sunset, you’ll likely run into Langfuse, LangSmith, and Braintrust. Here's how LangWatch stacks up across the core features AI teams care about
Capability | LangWatch | HumanLoop | LangSmith | Langfuse | Braintrust |
|---|---|---|---|---|---|
Core Purpose | Agent testing, evaluations & observability | LLM Evaluations | LangChain/LangGraph ops | LLM observability | Prompt evaluation & prompt debugging |
Open Source | ✅ Yes | ❌ No | ❌ No | ✅ Yes | ✅ Yes |
Observability | ✅ Full tracing, automation triggers, alerts, custom metrics | ✅ | ✅ | ✅ Broader SDK support, no automation | 🔶 Basic, for prompts |
OpenTelemetry Support | ✅ Native OTEL support | ❌ No | 🔶 Limited endpoint, no SDK OTEL | 🔶 Requires low-level OTEL setup | ❌ No OTEL |
Custom Metrics & Dashboards | ✅ Built-in, API accessible | ✅ | 🔶 Limited dashboards | 🔶 Limited dashboards | ❌ None |
Prompt Management | ✅ Prompt experimentation & versioning | ✅ | ✅ Better LangChain compatibility | 🔶 Limited prompt UI | ✅ Built-in prompt versioning |
Evaluations (Platform) | ✅ GUI + workflows for devs & PMs | ✅ | 🔶 Basic prompt eval UI | 🔶 Scores via trace logs only | ✅ Strong eval UX |
Evaluations (Code) | ✅ W&B-style API, DSPy support | ❌ | 🔶 Weird ergonomics | 🔶 Small eval lib | ✅ Python SDK + templates |
Guardrails and alerting | ✅ Built-in rules engine & alerting | ❌ | 🔶 Only via code | 🔶 Manual setup only | ❌ None |
DSPy Support | ✅ Native DSPy integration, optimization studio | ❌ | ❌ No | ❌ No | 🔶 Partial (custom plugin) |
Agent Simulation | ✅ Multi-turn, API/tool call evals | ❌ | ❌ No | ❌ No | ❌ No |
Dataset Management | ✅ Any format, Excel-style editing | ✅ | 🔶 Forced schema | 🔶 Fixed schema | ✅ Good dataset UX |
Annotations | ✅ Google Docs-style queues & comments | ✅ Experiment annotations | ✅ Annotation queues | ✅ Feedback dashboard | |
UI/UX | Dev & PM friendly for collaboration | Dev & PM friendly for collaboration | Dev-focused | Dev-focused | Clean |
Free Migration Support: From Humanloop to LangWatch
We’ve already helped teams move from Humanloop to LangWatch with minimal effort. Our support includes:
One-on-one onboarding to understand your current setup
Scripted exports for Humanloop traces and evaluation results
Data conversion to LangWatch-compatible formats
Rebuilding key flows like evals, traces, and tagging
SDK/API setup tailored to your stack (LangChain, OpenAI SDK, etc.)
Whether you’re tracking prompt performance or evaluating agent behavior, we make sure you don’t lose history or momentum.
Evaluation, Observability & AI Agent Testing in one platform
LangWatch doesn’t just replace Humanloop. It extends what’s possible with modern GenAI development workflows:
Advanced Evaluations: Use judge models, custom Python metrics, or DSPy-style logic to test prompts, models, or entire pipelines.
Production Observability: Every trace, version, and user feedback is captured and queryable.
Agent Simulations: Run complex tests on multi-step agent flows to prevent regressions before they ship.
Hybrid/On-Prem Friendly: No need to send sensitive data to our cloud. You control your runtime environment.
Guardrails: Set up alerts and quality thresholds to catch failures in real-time.
Who is LangWatch for?
AI product teams validating prompt strategies and model performance
LLM engineers building agent-based tools or multi-step pipelines
Platform teams standardizing evaluation and audit processes
Fintech, B2B SaaS, and regulated industries needing control over the LLM outputs and AI agents
Team experimenting with AI agents and are unsure to put them in production without the right control.
Whether you’re a scale-up or scaling enterprise, LangWatch offers the observability and control that Humanloop users expect, with greater flexibility.
"Now we have enterprise-grade baselines. When we deploy new versions, we instantly validate performance against our quality standards — it's given us tremendous confidence in our releases.”
— Amit head of AI @Roojoom
About LangWatch
Humanloop helped pave the way for LLMOps. But the landscape has evolved—and so have the needs of AI teams.
LangWatch is your next step forward: a powerful, extensible, and secure evaluation platform designed for long-term impact.
You don’t need to start over.
You just need to move forward with another solution.
LangWatch is the LLMOps platform built for AI product teams that demand quality, traceability, and reliability. We combine LLM evaluations, prompt trace observability, AI agent testing, and guardrails, in a single streamlined interface.
Start your migration for LLM observability & Evaluations today
Migration takes less than a day. You’ll get:
Data converted and imported
Evals rebuilt and validated
Prompt logs fully observable
Your team onboarded and ready
👉 Book your free migration call
📩 Or email us at support@langwatch.ai
Boost your LLM's performance today
Get up and running with LangWatch in as little as 10 minutes.
Integrations
Recourses
Platform
Boost your LLM's performance today
Get up and running with LangWatch in as little as 10 minutes.
Integrations
Recourses
Platform
Boost your LLM's performance today
Get up and running with LangWatch in as little as 10 minutes.
Integrations
Recourses
Platform