The best alternatives to Giskard are Langfuse, Arbor, and AlphaFold 3. If these 3 options don't work for you, we've listed a few more alternatives below.
What do you think of Giskard?
AssemblyAIβ Speech-to-Text API with superhuman accuracy
Langfuse is the open source LLM Engineering Platform. It provides observability, metrics, evals, prompt management and a playground and to debug and improve LLM apps.
Langfuse is open. It works with any model, any framework, allows for complex nesting and has open APIs to build downstream use cases.
Docs: https://langfuse.com/docs
Github: https://github.com/langfuse/langfuse
Arbor is a platform that provides aggregated summaries by clustering, deduplicating, and summarizing content, sentence by sentence, from various sources on the same topic. Arbor's mission is to reindex the internet and save it from AI-generated SEO articles.
A new AI model developed by Google DeepMind and Isomorphic Labs. By accurately predicting the structure of proteins, DNA, RNA, ligands and more, and how they interact, we hope it will transform our understanding of the biological world and drug discovery.
Mystic AI offers a high performance ML deployment platform that lets you deploy any custom, fine-tuned open source ML model as an API, either on our shared cluster, your preferred cloud platform.
Our serverless pay-per-millisecond API is free to get started, but if you'd like to access our new Turbo Registry, we have plans ranging from $30 to $100 depending on scale. Our BYOC gives you the serverless experience you get with current providers but with full control over scaling and GPUs at cost.
The LLM Explorer: Navigate the World of Large Language Models. Perfect for ML researchers, developers, and AI enthusiasts. Discover the latest in NLP, integrate it into your projects, and stay at the forefront of AI advancements.
The Ultimate Collection of 2000 Large Language Models Prompts is a helpful resource for anyone interested in learning about Large Language Models. It provides a variety of prompts to experiment with and understand their applications in various contexts.
Open-source, feature rich Gemini/ChatGPT-like interface for running open-source models (Gemma, Mistral, LLama3 etc.) locally in the browser using WebGPU. No server-side processing - your data never leaves your pc!
Prompt Playground lets you test 2 LLM prompts, models, or configs side-by-side against many inputs, in real time. This makes testing prompts and models super fast, and comes with a generous free allowance. Built by Context.ai
Google Developer Profile, is a way to learn about Google technologies and unlock achievements. Your profile captures your achievements with badges and saves your progress as you complete pathways, which include codelabs and videos.