tensorzero
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
💡 Why It Matters
TensorZero addresses the challenges of developing and deploying industrial-grade large language model (LLM) applications. It provides a comprehensive open source tool for engineering teams, integrating key functionalities such as observability, optimisation, and experimentation. This is particularly beneficial for ML/AI teams, including data scientists and AI engineers, who require a production-ready solution that can scale with their needs. With a steady growth of 431 stars over 96 days, it demonstrates stable community interest and ongoing development. However, teams focused on lightweight or experimental projects may find it too robust for their requirements.
🎯 When to Use
TensorZero is a strong choice when teams need a comprehensive stack for building and managing LLM applications in a production environment. Consider alternatives if your project is small-scale or if you require a more lightweight framework.
👥 Team Fit & Use Cases
TensorZero is ideal for machine learning engineers, data scientists, and AI researchers who are involved in developing LLM applications. It is typically included in products and systems that require advanced AI capabilities, such as chatbots, content generation tools, and other generative AI applications.
🎭 Best For
🏷️ Topics & Ecosystem
📊 Activity
Latest commit: 2026-02-14. Over the past 97 days, this repository gained 431 stars (+4.1% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.