OpenLIT Alternatives

If you're looking for an OpenLIT alternative, HoneyHive is another option worth considering. It's an all-in-one platform for evaluating, testing and observing GenAI applications. HoneyHive supports OpenTelemetry for distributed tracing and offers automated CI testing, pipeline monitoring and debugging. It also offers tools for dataset curation, labeling and versioning, as well as a collaborative workspace for prompt management and evaluation reports. It's geared for developers and teams that want to manage and debug their GenAI applications in one place.

Another good option is Humanloop. This platform is geared for managing and optimizing LLM app development, a process that can be plagued by issues like suboptimal workflows and manual evaluation. Humanloop offers a collaborative prompt management system with version control, an evaluation and monitoring suite for debugging, and customization and optimization tools for tuning models. It integrates with common LLM providers and offers Python and TypeScript SDKs for easy integration, making it a good option for product teams and developers.

If you want to take your AI model management to the next level, you could also look at Openlayer. This platform is geared for developing, deploying and managing high-quality AI models, in particular LLMs. Openlayer offers real-time error detection, automated testing and monitoring, as well as versioning and tracking. It can be used for a range of tasks including text classification and regression, and is designed to meet security requirements with SOC 2 Type 2. Openlayer is geared for a wide range of users, from data scientists to CTOs, so it's a good option for those who want to accelerate model development and deployment.

Last, Athina is an end-to-end GenAI team solution that offers real-time monitoring, cost tracking and customizable alerts. It supports common frameworks and offers features like LLM Observability, Experimentation and Analytics. Athina has flexible pricing for teams of different sizes, so it's a good option for teams that want to accelerate their AI development with reliable and efficient application monitoring.