TensorZero
TensorZero offers tools for LLM applications.
Tarification: open_source — Free, but no longer maintained. · Visiter le site
TensorZero provides open-source tools for production-grade large language model (LLM) applications, including an LLM gateway, observability, optimization, evaluations, and experimentation features. These tools are designed to help developers and organizations build robust and efficient LLM solutions.
Avantages
- Open-source
- Comprehensive feature set
- Production-grade support
Inconvénients
- No longer maintained
- Limited community support
FAQ
Is TensorZero still supported?
No, it is no longer maintained.
Can I use TensorZero for commercial projects?
Yes, but it's not actively developed.
Where can I find the source code?
On GitHub.
Principales alternatives
Open-source ML library for Python and C++.
TensorFlow offers a comprehensive ecosystem for machine learning, including tools, libraries, and community resources.
LLM CLI & Python Library for interacting with LLMs
LLM CLI & Python Library offers command-line and Python integration for large language models, similar to TensorZero's developer-focused too
Tool for evaluating LLM outputs.
How to Evaluate Large Language Model Outputs offers a freemium model with guides and tools to assess language model outputs, complementing T
Evaluate large language models with Prem’s sandboxing tools.
Evaluation of LLMs offers a freemium model with tools to assess large language models, complementing TensorZero's open-source development fo
Interactive tool for visualizing LLM algorithms.
LLM Visualization Tool offers a freemium model to visualize large language models, complementing TensorZero's open-source development focus.
Mis à jour le : 2026-09-15