Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Weights & Biases (CoreWeave Forge) records 315,624 monthly visits with -80.2% month-over-month growth and Freemium, Contact for Pricing, Free pricing. SomaLoop (Sensae Loop) records 0 monthly visits with 0% growth and Contact for Pricing pricing.

Adaptive sensory stimulation that reads your body and responds in real time
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | wandb.ai | sensae.com |
| Pricing Model | Freemium, Contact for Pricing, Free | Contact for Pricing |
| Monthly Visits | 315.62K (315,624) | 0 (0) |
| MoM Traffic Delta | -1.28M (-80.2%) | 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (32.2%) | 🌐 Global (—) |
| Direct Visits / mo | 230.88K | 0 |
| User Rating | 4.7 | 3.9 |
| Supported Platforms | Website | Website |

Track, evaluate, and ship AI models and agents in one connected environment.
Log metrics, losses, and media from training runs and compare them side by side in interactive charts to spot what actually improves your model.
Run automated hyperparameter sweeps and visualize parameter importance so you can converge on better configurations faster.
Version datasets and model artifacts, track lineage, and promote models through a registry from training to production.
Build, log, and evaluate LLM prompts and applications, with tracing and evaluation tools grouped under an LLMOps workflow.

Adaptive sensory stimulation that reads your body and responds in real time
Biometric signals are captured in real time to build an accurate picture of the user's physiological state.
Smart stimulation output is adjusted on the fly by an AI layer, so the stimulus tracks the person rather than a fixed preset.
Monitoring and stimulation are combined into a closed loop, which the company says is the first to fully integrate the two.
Haptic and sensory delivery is tuned toward comfort, focus and overall wellbeing experiences.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud

Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together
Free / Open-sourceA searchable library of 145,000+ real web and iOS screens for UI/UX inspiration.
Free / Open-sourceA searchable library of 145,000+ real web and iOS screens for UI/UX inspiration.

Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceOffers robust LLM evaluation and testing suites with integrated enterprise gateways, prioritizing prompt benchmarking.
Free / Open-sourceOffers robust LLM evaluation and testing suites with integrated enterprise gateways, prioritizing prompt benchmarking.

DNA-powered personalized fitness, nutrition and recovery

Focuses specifically on prompt versioning, collaborative CMS management, and agent tracing rather than general MLOps.
Focuses specifically on prompt versioning, collaborative CMS management, and agent tracing rather than general MLOps.

Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.
Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.

Free / Open-sourceAI-driven high-fidelity prototyping for real interactions

Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.
Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.