Deepchecks LLM Evaluation vs openplayground
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is an LLM playground you can run on your laptop. It allows experimenting with multiple language models. You can compare models side-by-side with the same prompt, individually tune model parameters, and retry with different parameters. | Continuously validate your LLM-based application throughout the entire lifecycle from pre-deployment and internal experimentation to production. |
Use any model from OpenAI, Anthropic, Cohere, Forefront, HuggingFace, Aleph Alpha, and llama.cpp;
Full playground UI, including history, parameter tuning, keyboard shortcuts, and logprops | LLM evaluation;
Real-time monitoring;
Simplify compliance with AI-related policies, regulations, and soft laws |
Statistics | |
GitHub Stars 6.4K | GitHub Stars - |
GitHub Forks 490 | GitHub Forks - |
Stacks 1 | Stacks 0 |
Followers 9 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to openplayground, Deepchecks LLM Evaluation?
Clever AI Humanizer
That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology
LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
Ollama
It allows you to run open-source large language models, such as Llama 2, locally.
LlamaIndex
It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.
LangGraph
It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.
LangSmith
It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
Rhesis AI
The collaborative testing platform for LLM applications and agents. Your whole team defines quality requirements together, Rhesis generates thousands of test scenarios covering edge cases, simulates realistic multi-turn conversations, and delivers actionable reviews. Testing infrastructure built for Gen AI.
GPTScript
It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.
Vivgrid — Build, Evaluate & Deploy AI Agents with Confidence
Vivgrid is an AI agent infrastructure platform that helps developers and startups build, observe, evaluate, and deploy AI agents with safety guardrails and global low-latency inference. Support for GPT-5, Gemini 2.5 Pro, and DeepSeek-V3. Start free with $200 monthly credits. Ship production-ready AI agents confidently.
SentinelQA
CI failures are painful to debug. SentinelQA gives you run summaries, flaky test detection, regression analysis, visual diffs and AI-generated action items.
