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
Bracketwise records 0 monthly visits with 0% month-over-month growth and Freemium, Free pricing. Weights & Biases (CoreWeave Forge) records 315,624 monthly visits with -80.2% growth and Freemium, Contact for Pricing, Free pricing.

See your real odds of winning your March Madness bracket pool
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | bracketwise.app | wandb.ai |
| Pricing Model | Freemium, Free | Freemium, Contact for Pricing, Free |
| Monthly Visits | 0 (0) | 315.62K (315,624) |
| MoM Traffic Delta | 0 (0%) | -1.28M (-80.2%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (32.2%) |
| Direct Visits / mo | 0 | 230.88K |
| User Rating | 4.1 | 4.7 |
| Supported Platforms | Website | Website |

See your real odds of winning your March Madness bracket pool
Simulates the remaining tournament many times over to estimate how often your bracket finishes first in your specific pool.
Lines your picks up against each rival entry so you can see exactly where you gain or lose ground.
Highlights the upcoming matchups that most change your odds, so you know which games to actually watch.
Adds probability context to a normal standings table, replacing raw point totals with a realistic picture of your position.

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.
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

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.

AI football predictions with a fully public, graded track record
AI football predictions with a fully public, graded track record

SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.
SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.

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.

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.

AI picks, prop tracking, and real analytics — free on iOS, Android, and web
AI picks, prop tracking, and real analytics — free on iOS, Android, and web

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.

AI player prop research for every league
AI player prop research for every league

AI sports predictions with the reasoning behind every pick
AI sports predictions with the reasoning behind every pick

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.
Physics-based cycling and triathlon race pacing plans
Physics-based cycling and triathlon race pacing plans