Tracking AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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TrueFoundry supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Valohai supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Wallaroo.AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Weco Observe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
The open source standard for data logging. Enables ML monitoring and observability.
Open-source Python toolkit that tracks whether ChatGPT, Claude, and Perplexity cite your site. MIT license, runs locally on your credentials.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Bayesian Inference Tools in Python.
Open-source tool that lets you package ML models in a standard, production-ready container.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.
OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.
TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.
A flexible and easy to use tool for serving PyTorch models.
Helps teams build, deploy, observe or operate machine-learning systems.
Platform created by the community to programmatically author, schedule and monitor workflows.
Platform to programmatically author, schedule, and monitor workflows.
MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
Inference hosting for AI teams who ship fast and scale faster.
Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
Open-source platform for high-performance ML model serving.