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Tecton supports deploying, serving, monitoring, or operating AI and machine-learning systems.

OpenTelemetry-based observability and monitoring for LLM and agents workflows.

Tracking AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.

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.

Instruct-tune LLaMA on consumer hardware.

CLI tool for running coding agents inside hardware-isolated microVMs with snapshot isolation, egress control, and MCP authorization.

Helps teams build, deploy, observe or operate machine-learning systems.

Open-source Python toolkit that tracks whether ChatGPT, Claude, and Perplexity cite your site. MIT license, runs locally on your credentials.

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.

Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.

Inference hosting for AI teams who ship fast and scale faster.

Bayesian Inference Tools in Python.

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.

An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.

Deploy a ML inference service on a budget in less than 10 lines of code.

An easy-to-use feature store. Optimized for time-series data.