Baserun vs promptfoo
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Detailed Comparison
It helps AI teams build, monitor, and iterate their LLM applications. It provides a suite of tools, accessible through both UI and SDK, for AI teams to collaborate throughout the product development cycle. | It is a tool for testing and evaluating LLM output quality. With this tool, you can systematically test prompts, models, and RAGs with predefined test cases. It can be utilized as a CLI, a library, or integrated into CI/CD pipelines. |
Gain insights into your LLM application within seconds;
Full visibility into your end to end tests & user journey;
Comparing models, configurations, and bulk testing;
Collaborative workspace for teams | Evaluate quality and catch regressions;
Speed up evaluations with caching and concurrency;
Score outputs automatically by defining test cases |
Statistics | |
GitHub Stars - | GitHub Stars 9.0K |
GitHub Forks - | GitHub Forks 760 |
Stacks 0 | Stacks 0 |
Followers 0 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Baserun, promptfoo?
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
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Vivgrid — Build, Evaluate & Deploy AI Agents with Confidence
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SentinelQA
CI failures are painful to debug. SentinelQA gives you run summaries, flaky test detection, regression analysis, visual diffs and AI-generated action items.
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Arize AI
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Portkey
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WhyLabs
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Magika
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Log10
It is an AI-powered LLMOps platform that enables developers to build continuously improving LLM-powered applications and ship them into production.
