Free / Open-sourceRun and build with open AI models locally or in the cloud
#1HookWatch records 1,095 monthly visits with +797.5% month-over-month growth and Freemium, Free Trial, Free pricing. Weights & Biases (CoreWeave Forge) records 315,624 monthly visits with -80.2% growth and Freemium, Contact for Pricing, Free pricing.

Capture, debug, and replay failed webhooks before your users notice
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | hookwatch.dev | wandb.ai |
| Pricing Model | Freemium, Free Trial, Free | Freemium, Contact for Pricing, Free |
| Monthly Visits | 1.1K (1,095) | 315.62K (315,624) |
| MoM Traffic Delta | +973 (+797.5%) | -1.28M (-80.2%) |
|---|
| Primary Market & Share | 🇫🇷 France (100%) | 🇺🇸 United States (32.2%) |
|---|
| Direct Visits / mo | 403 | 230.88K |
|---|
| User Rating | 4.2 | 4.7 |
|---|
| Supported Platforms | Website | Website |
|---|

Capture, debug, and replay failed webhooks before your users notice
Each endpoint gets a HookWatch URL that receives and forwards webhooks, recording status, provider, response code, latency, and attempt count for every delivery.
Re-send an exact captured payload after a fix, with manual replay and retry policies instead of recreating the event by hand.
Failed deliveries are categorized by reason — signature mismatch, timeout, 5xx, rate limit — so you know what broke without grepping logs.
Recurring failures group into a single incident routed to Slack or a webhook, so a flaky endpoint shows up as one problem.

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
#1SpecialistUnified observability, security and incident response for cloud-scale engineering teams


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


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.

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.

Automated QA, simulation and observability for voice and chat AI agents

SpecialistRank tracking and AI visibility in one unified SEO platform
AI governance, testing, and observability for regulated enterprises

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
Free / Open-sourceRun and build with open AI models locally or in the cloud
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
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.
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.
SpecialistRank tracking and AI visibility in one unified SEO platform
AI governance, testing, and observability for regulated enterprises
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