Free / Open-sourceRun and build with open AI models locally or in the cloud
#1Beagle Security records 38,309 monthly visits with -35.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. Weights & Biases (CoreWeave Forge) records 315,624 monthly visits with -80.2% growth and Freemium, Contact for Pricing, Free pricing.

Agentic AI penetration testing for web apps, APIs and GraphQL
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | beaglesecurity.com | wandb.ai |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Freemium, Contact for Pricing, Free |
| Monthly Visits | 38.31K (38,309) | 315.62K (315,624) |
| MoM Traffic Delta | -21.32K (-35.8%) | -1.28M (-80.2%) |
|---|
| Primary Market & Share | 🇮🇳 India (15.9%) | 🇺🇸 United States (32.2%) |
|---|
| Direct Visits / mo | 8.4K | 230.88K |
|---|
| User Rating | 4.4 | 4.7 |
|---|
| Supported Platforms | Website | Website |
|---|

Agentic AI penetration testing for web apps, APIs and GraphQL
An AI engine trained on 350,000+ pentest workflows runs multi-stage, human-like attack sequences across web apps, APIs and GraphQL services.
You teach the AI your application's unique flows by recording a real session, so tests navigate genuine business logic rather than only crawling links.
Findings arrive scored with CVSS and OWASP ratings and explained down to tech-stack and code level, with step-by-step fix guidance rather than raw alert lists.
Push vulnerabilities into Jira, Azure Boards, Slack, Teams or Postman, or trigger tests from your CI/CD pipeline as features ship.

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
#1
All-in-one AppSec platform that finds and auto-fixes vulnerabilities

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

AI security platform that finds exposures, proves they're exploitable, and ships the fix

AI-augmented quality platform for web, mobile, API and desktop testing

Attack-led AI security testing and red teaming

AI-native offensive security: continuous red teaming, white-box pentests, and PR review

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.

Write end-to-end test automation in plain English, no code required

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-sourceRun and build with open AI models locally or in the cloud
All-in-one AppSec platform that finds and auto-fixes vulnerabilities

Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
AI security platform that finds exposures, proves they're exploitable, and ships the fix
Attack-led AI security testing and red teaming
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.
Write end-to-end test automation in plain English, no code required
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.