Experiment tracking apps

OpenScience is an open-source AI agent for scientific research. It reads papers, writes and runs code, works in notebooks and a terminal, and sends long jobs to Modal, your own servers, or a Slurm/PBS cluster. Give it a metric and Autoresearch runs experiments, logs every one, and keeps hill-climbing. Use 30+ models through one wallet, sign in with ChatGPT, or run a local model. It ranks #1 on agentic scientific research benchmarks. Free and open source.

Track and optimize quantum experiments across IBM, IonQ, and Braket

Clusy is an agent-native notebook platform for researchers and data teams to build, branch, run, and evaluate ML and data science workflows in the cloud. Describe a goal in natural language, and Clusy plans the workflow, sources datasets, preprocesses data, runs parallel experiments in replicated kernels, compares model architectures, and helps produce optimal models through a human-in-the-loop notebook experience.

Picsellia is the all-in-one platform to manage, deploy, and monitor computer vision models at scale. From dataset versioning to experiment tracking and real-time inference monitoring, it’s built for ML teams working with visual data. Streamline your CV workflow and stay in control.

Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can track, compare, explain and reproduce their machine learning experiments.