Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams
Fiddler AI records 44,204 monthly visits with -10.2% month-over-month growth and Contact for Pricing pricing. llog records 0 monthly visits with 0% growth and Contact for Pricing pricing.

Set up, launch and reproduce ML experiments with templatized configs and AI.
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | fiddler.ai | llog.ai |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 44.2K (44,204) | 0 (0) |
| MoM Traffic Delta | -5.04K (-10.2%) | 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (28.4%) | 🌐 Global (—) |
| Direct Visits / mo | 9.13K | 0 |
| User Rating | 4.4 | 3.8 |
| Supported Platforms | Website | Website |

The control plane for trusted enterprise agents and models
See the performance of every agent and predictive model in a single pane of glass, with every action, token and dollar traceable by user and team.
Fiddler Centor Models power policy enforcement and continuous evaluation inside your network, avoiding external LLM API calls and their hidden costs.
Detects and redacts PII, PHI and secrets on the same request path — before a prompt reaches the model and before a response reaches the developer — with sub-80ms latency.
Keeps a living inventory of every connected agent and records each enforcement decision, with who triggered it and what happened, ready for GRC and AI regulation audits.

Set up, launch and reproduce ML experiments with templatized configs and AI.
llog turns YAML configs and argparse code into guided, visual templates so experiments are reproducible by default.
Modify experiment parameters visually in a web GUI instead of editing files by hand, and add a new parameter across an entire pipeline in one click.
Visualise experiment outputs without writing code, and ask the AI questions to plot features in your data.
Launch and run experiments on your own server or through SLURM, with version control so runs can be reproduced.
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams

Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Attack-led AI security testing and red teaming
Attack-led AI security testing and red teaming

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

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

Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org

AI-powered cloud DLP and security awareness training for SaaS environments
AI-powered cloud DLP and security awareness training for SaaS environments

Free / Open-sourceThe open-source data layer for robotics and physical AI
Free / Open-sourceAI governance, testing, and observability for regulated enterprises
Free / Open-sourceAI governance, testing, and observability for regulated enterprises

Free / Open-sourceFind and fix problems in your AI agents before users do
Free / Open-sourceFind and fix problems in your AI agents before users do
Free / Open-sourceFull-stack observability with an AI SRE agent that fixes issues
Free / Open-sourceFull-stack observability with an AI SRE agent that fixes issues