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Humanloop VS Opsmeter

Compare Humanloop VS Opsmeter and see what are their differences

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  3. ยป Reviews
  4. ยป Alternatives

Humanloop logo Humanloop

Train state-of-the-art language AI in the browser

Opsmeter logo Opsmeter

Find what caused your AI bill. Opsmeter gives endpoint, user, model, and prompt-level AI cost attribution in one view.
  • Humanloop Landing page
    Landing page //
    2023-08-23
  • Opsmeter Overview
    Overview //
    2026-02-13
  • Opsmeter Top Users
    Top Users //
    2026-02-13
  • Opsmeter Top Endpoints
    Top Endpoints //
    2026-02-13
  • Opsmeter Prompt Versions
    Prompt Versions //
    2026-02-13

Opsmeter is an AI cost observability platform that shows exactly what caused your AI bill. Track spend by endpoint, user, model, and prompt version, monitor token and latency trends, and keep telemetry flowing with provider-agnostic ingest, rate-limit headers, and retry-safe guidance.

Humanloop

Website
humanloop.com
Pricing URL
Official Humanloop Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

Opsmeter

Website
opsmeter.io
Pricing URL
Official Opsmeter Pricing
$ Details
freemium $99.0 / Monthly
Platforms
Web REST API SaaS
Release Date
2026 February
Startup details
Country
Estonia
Employees
1 - 9
Edit details

Humanloop features and specs

  • Ease of Use
    Humanloop is designed to be user-friendly, making it easier for users with varying levels of technical expertise to create and manage machine learning models.
  • Interactivity
    The platform provides an interactive environment where users can iteratively improve their models by integrating human feedback, leading to better performance.
  • Time Savings
    By facilitating faster model iteration and immediate feedback, Humanloop helps save significant time in the machine learning development cycle.
  • Integration Capabilities
    Humanloop offers robust integration options with various tools and platforms, helping users streamline their workflows.
  • Improved Model Accuracy
    The platform allows for continuous model improvement through active learning and human-in-the-loop approaches, enhancing model accuracy over time.

Possible disadvantages of Humanloop

  • Cost
    Depending on the subscription or usage level, Humanloop may become expensive, particularly for small teams or individual developers.
  • Learning Curve
    Despite its user-friendly design, there can still be a learning curve for users new to machine learning or human-in-the-loop systems.
  • Dependence on Human Feedback
    The effectiveness of Humanloop relies heavily on the quality and consistency of human feedback, which can introduce variability and potential biases.
  • Data Privacy Concerns
    Handling and sharing data with a third-party platform may raise privacy and compliance concerns, particularly for sensitive information.
  • Limited Offline Functionality
    Humanloop's cloud-based nature means that its functionalities are limited or inaccessible without an internet connection.

Opsmeter features and specs

  • Cost Attribution
    Breaks down AI spend by endpoint, user, model, and prompt version.
  • Provider-Agnostic Ingest
    Single telemetry schema for OpenAI, Anthropic, and other LLM providers.
  • Budgets & Alerts
    Plan-based budgets, warning thresholds, and telemetry pause behavior when limits are reached.

Analysis of Humanloop

Overall verdict

  • Humanloop is considered a strong choice for organizations seeking to enhance their AI model development process through interactive learning and feedback integration. Its user-friendly interface and powerful features make it a valuable tool in the AI development landscape.

Why this product is good

  • Humanloop, an AI and machine learning platform, is highly regarded for its ability to effectively integrate human feedback into AI systems. It's particularly praised for enhancing model accuracy and improving user experience by allowing for seamless annotation and model training. The platform offers tools that facilitate collaboration between developers and non-technical domain experts, making it easier to refine AI models effectively.

Recommended for

  • AI developers looking to improve model performance through human feedback.
  • Teams seeking a collaborative environment to refine AI processes.
  • Companies that need an accessible tool for both technical and non-technical staff.

Humanloop videos

+ Add

Train and deploy NLP โ€” Humanloop

More videos:

  • Review - The Great AI Implementation with Raza Habib of Humanloop

Opsmeter videos

No Opsmeter videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Humanloop and Opsmeter)

Humanloop

Opsmeter

AI
91 91%
AI
9% 9
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Productivity
100 100%
Productivity
0% 0

Questions & Answers

As answered by people managing Humanloop and Opsmeter.

What makes your product unique?

Opsmeter's answer:

Opsmeter combines endpoint, user, model, and prompt-version cost attribution in one view, so teams can quickly see what changed and why AI spend increased. It is provider-agnostic and built to keep telemetry reliable without breaking production flows.

Why should a person choose your product over its competitors?

Opsmeter's answer:

Choose Opsmeter for faster root-cause analysis, simple provider-agnostic ingest, and practical budget/rate-limit handling. It helps teams act on cost spikes quickly instead of only showing high-level usage charts.

How would you describe the primary audience of your product?

Opsmeter's answer:

Opsmeter is built for teams running AI in production: CTOs/engineering leads, platform and ops teams, and founders who need clear cost visibility and governance.

What's the story behind your product?

Opsmeter's answer:

Opsmeter started from a common problem: teams could see the AI bill, but not what exactly caused it. We built Opsmeter to answer that question clearly and quickly with request-level attribution.

Which are the primary technologies used for building your product?

Opsmeter's answer:

Opsmeter is built with Angular (TypeScript) on the frontend, ASP.NET Core (.NET/C#) on the backend, PostgreSQL for data, and Docker/Nginx for deployment and operations.

Who are some of the biggest customers of your product?

Opsmeter's answer:

We currently work with startup and growth-stage AI teams. Customer names are not publicly disclosed yet.

User comments

Share your experience with using Humanloop and Opsmeter. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Humanloop should be more popular than Opsmeter. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Humanloop mentions (5)

  • Ask HN: Who is hiring? (December 2024)
    Humanloop | London and San Francisco | Full time in person | https://humanloop.com Humanloop is building infrastructure for AI application development. We're the LLM Evals Platform for Enterprises. Duolingo, Gusto, and Vanta use Humanloop to evaluate, monitor, and improve their AI systems. ROLES:. - Source: Hacker News / over 1 year ago
  • Show HN: PromptDoggy โ€“ Prompt Management for Product and Engineering Teams
    - https://humanloop.com/) for teaching me the philosophy of implementing a copilot textarea. I wish I could have used the project directly, but integrating just one React component into Rails while keeping importmap and StimulusJS was quite challenging. Given the limited time, I decided to move on with StimulusJS. This is our first time building an open-source project to share with the world, and weโ€™re a bit... - Source: Hacker News / almost 2 years ago
  • How are generative AI companies monitoring their systems in production?
    - Conversational simulation is an emerging idea building on top of model-graded evalโ€ - AI Startup Founder Things to consider when comparing options: โ€œTypes of metrics supported (only NLP metrics, model-graded evals, or both), level of customizability; supports component eval (i.e. Single prompts) or pipeline evals (i.e. Testing the entire pipeline, all the way from retrieval to post-processing)โ€ โ€œ+method of... - Source: Hacker News / almost 3 years ago
  • Ask HN: Who is hiring? (March 2023)
    Humanloop (YC S20) | London (or remote) | https://humanloop.com We're looking for exceptional engineers that can work at varying levels of the stack (frontend, backend, infra), who are customer obsessed and thoughtful about product (we think you have to be -- our customers are "living in the future" and we're building what's needed). Our stack is primarily Typescript, Python, GPT-3. Please apply at... - Source: Hacker News / over 3 years ago
  • Compiling a list of tools for building LLM apps
    https://humanloop.com/ Find the prompts users love and fine-tune custom models for higher performance at lower cost. - Source: Hacker News / over 3 years ago

Opsmeter mentions (1)

  • Show HN: Opsmeter โ€“ AI cost attribution and budget control for LLM apps
    - Would you want this as observability, governance, or both? Website: https://opsmeter.io. - Source: Hacker News / 4 months ago

What are some alternatives?

When comparing Humanloop and Opsmeter, you can also consider the following products

Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.

Helicone AI - Open-source LLM Observability for Developers

Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.

LangChain - Framework for building applications with LLMs through composability

LangSmith - Build and deploy LLM applications with confidence

PromptLayer - The first platform built for prompt engineers

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