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What Is Fiddler?

Fiddler is a machine learning platform that helps businesses across all industries train and test their datasets, validate and monitor their models’ performance, create reports and dashboards, and analyze the metrics to pinpoint performance issues and/or keep track of wins.

Who Uses Fiddler?

Not provided by vendor

Fiddler Software - Model performance
Fiddler Software - Demographic dashboards
Fiddler Software - Analytics dashboards

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Reviews of Fiddler

Average score

Overall
5.0
Ease of Use
4.3
Customer Service
Features
4.7
Value for Money

Reviews by company size (employees)

  • <50
  • 51-200
  • 201-1,000
  • >1,001

Find reviews by score

5
100%
João
João
Software Dev in UK
Verified LinkedIn User
Computer Software, 201–500 Employees
Used the Software for: 2+ years
Reviewer Source

best of its kind

5.0 last year

Pros:

easy to map your traffic from your website to local code

Cons:

it wasn't available for mac at the time i started using it

Viktor
Software engineer in test in Czechia
Information Technology & Services, 10,000+ Employees
Used the Software for: 6-12 months
Reviewer Source

Experience with Fiddler

5.0 2 years ago

Pros:

Fiddler's AI-powered software platform offers advantages for building, deploying, and monitoring machine learning models. These include explainability, transparency, collaboration, automation, monitoring, and integration. Fiddler provides comprehensive explanations, version control, real-time monitoring, and can automate several aspects of the ML model development process. It also allows multiple users to work collaboratively and integrate with various data sources and ML frameworks. Fiddler's platform offers a powerful toolset for developing and deploying ML models with transparency, explainability, and automation.

Cons:

Fiddler's platform can be complex, with a steep learning curve for those who are new to ML model development. Limited support for some ML frameworks. Although Fiddler's software can integrate with various ML frameworks, there may be some frameworks that are not currently supported.

Andres
Senior Software Engineer in Australia
Health, Wellness & Fitness, 51–200 Employees
Used the Software for: 1-5 months
Reviewer Source

Featureful but hard to get started

5.0 last year

Pros:

Useful features for machine learning with a good UI

Cons:

It has a steep learning curve, making it hard to get going and set up, though not too bad once you get past that