Free / Open-sourceRun and build with open AI models locally or in the cloud
#1Weights & Biases (CoreWeave Forge) records 315,624 monthly visits with -80.2% month-over-month growth and Freemium, Contact for Pricing, Free pricing. Webhookify records 538 monthly visits with 0% growth and Freemium pricing.

Instant webhook URLs with request logging and AI-powered alerts on mobile, Telegram and Discord.
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | wandb.ai | webhookify.app |
| Pricing Model | Freemium, Contact for Pricing, Free | Freemium |
| Monthly Visits | 315.62K (315,624) | 538 (538) |
| MoM Traffic Delta |
|---|
| -1.28M (-80.2%) |
| +538 (0%) |
| Primary Market & Share | 🇺🇸 United States (32.2%) | 🇫🇷 France (100%) |
|---|
| Direct Visits / mo | 230.88K | 212 |
|---|
| User Rating | 4.7 | 4.2 |
|---|
| 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.

Instant webhook URLs with request logging and AI-powered alerts on mobile, Telegram and Discord.
Generate a unique webhook URL in seconds and drop it into any service or application without server-side setup.
Every incoming request is captured with payload, headers, timestamps and metadata for complete visibility and debugging.
Get intelligent notifications on Telegram, Discord, Slack, email and native Android and iOS apps, filtered so you only see what matters.
Use one endpoint with Stripe, Shopify, GitHub, RevenueCat or any custom application that can send HTTP requests.
Free / Open-sourceRun and build with open AI models locally or in the cloud
#1Unified observability, security and incident response for cloud-scale engineering teams
#2Free / Open-sourceOpen-source workflow automation built for AI agents and technical teams

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


Free / Open-sourceOpen-source data integration engineered for AI agents and analytics

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

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

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.

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

Find and fix problems in your AI agents before users do
Full-stack observability with an AI SRE agent that fixes issues
Free / Open-sourceRun and build with open AI models locally or in the cloud
Unified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceOpen-source workflow automation built for AI agents and technical teams
Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
Free / Open-sourceOpen-source data integration engineered for AI agents and analytics
SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
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.
Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.
Find and fix problems in your AI agents before users do
Full-stack observability with an AI SRE agent that fixes issues