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Humanloop VS Langtail

Compare Humanloop VS Langtail and see what are their differences

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Humanloop logo Humanloop

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

Langtail logo Langtail

The low-code platform for testing AI apps
  • Humanloop Landing page
    Landing page //
    2023-08-23
  • Langtail Intuitive spreadsheet-like interface for non-technical users
    Intuitive spreadsheet-like interface for non-technical users //
    2024-11-10
  • Langtail Handle tool calls directly inside Langtail
    Handle tool calls directly inside Langtail //
    2024-11-10
  • Langtail Share AI apps easily within your team
    Share AI apps easily within your team //
    2024-11-10

Langtail is a comprehensive low-code platform designed for testing and debugging AI applications powered by Large Language Models (LLMs). Our solution enables teams to build more predictable and secure AI-powered applications while reducing development time and catching potential issues before deployment.

Key Features: • Intuitive spreadsheet-like interface for non-technical users • Compatible with major LLM providers (OpenAI, Anthropic, Gemini, Mistral) • Advanced AI security features and firewall protection • Comprehensive prompt testing and optimization tools • Real-time analytics and performance insights • TypeScript SDK & OpenAPI support • Self-hosting capabilities for enhanced security

Humanloop

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

Langtail

Website
langtail.com
Pricing URL
Official Langtail Pricing
$ Details
freemium $99.0 / Monthly
Release Date
2024 October
Startup details
Country
Czech Republic
State
Czech Republic
Founder(s)
Petr Brzek, Tomas Rychlik, Martin Duris
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.

Langtail features and specs

  • LLM evaluation
    Evaluate your LLM-based apps easily with deterministic functions or an LLM as a judge.

Humanloop videos

+ Add

Train and deploy NLP — Humanloop

More videos:

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

Langtail videos

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

Add video

Category Popularity

0-100% (relative to Humanloop and Langtail)

Humanloop

Langtail

AI
100 100%
AI
0% 0
Productivity
63 63%
Productivity
37% 37
Developer Tools
86 86%
Developer Tools
14% 14
Utilities
100 100%
Utilities
0% 0

User comments

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Social recommendations and mentions

Based on our record, Humanloop should be more popular than Langtail. 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 / 5 months ago
  • Show HN: PromptDoggy – 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 we’re a bit... - Source: Hacker News / 8 months ago
  • How are generative AI companies monitoring their systems in production?
    - Conversational simulation is an emerging idea building on top of model-graded eval” - AI Startup Founder Things to consider when comparing options: “Types 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)” “+method of... - Source: Hacker News / over 1 year 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 / about 2 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 2 years ago

Langtail mentions (2)

  • 7 Best Practices for LLM Testing and Debugging
    Use specialized tools like Langtail and Deepchecks for LLM debugging. - Source: dev.to / 5 months ago
  • Ultimate guide to prompt engineering
    Tools: Platforms like LangChain, Kern AI Refinery, and Langtail simplify testing, debugging, and optimizing prompts. - Source: dev.to / 5 months ago

What are some alternatives?

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

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

ShipGPT AI - Turn your apps into AI apps or build a new one.

LangChain - Framework for building applications with LLMs through composability

Portkey - Build production-grade & reliable AI apps with Portkey

Narrow AI - Automated Prompt Engineering and Optimization

Iteration X - Iteration X allows teams to annotate and edit any live website or web app directly in Chrome.

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