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features
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support

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Write a Review

Description

Illuminate the black box and install 3LC to acquire the insights necessary for implementing impactful modifications to your models in no time. Eliminate uncertainty from the training process and enable rapid iterations. Gather metrics for each sample and view them directly in your browser. Scrutinize your training process and address any problems within your dataset. Engage in model-driven, interactive data debugging and improvements. Identify crucial or underperforming samples to comprehend what works well and where your model encounters difficulties. Enhance your model in various ways by adjusting the weight of your data. Apply minimal, non-intrusive edits to individual samples or in bulk. Keep a record of all alterations and revert to earlier versions whenever needed. Explore beyond conventional experiment tracking with metrics that are specific to each sample and epoch, along with detailed data monitoring. Consolidate metrics based on sample characteristics instead of merely by epoch to uncover subtle trends. Connect each training session to a particular dataset version to ensure complete reproducibility. By doing so, you can create a more robust and responsive model that evolves continuously.

Description

ABTestly is a robust A/B testing solution designed for teams that prefer to implement experiments through code rather than a graphical interface. Each variation is crafted using authentic JavaScript and CSS, ensuring that experiments are integrated directly into your code repository and undergo the same rigorous review process as other code modifications. The platform maintains a lightweight runtime of approximately 31 KB when gzipped, and it prevents visitors from experiencing a flash of the control version by holding the page until the variation is fully applied. Instead of relying on a single inferred number, ABTestly meticulously tracks assignment, exposure, and conversion as three distinct events on a precise ledger, enhancing the auditability of results. It provides clear confidence intervals along with the sample size, avoids premature declarations of winning variations, and identifies any sample ratio mismatches, alerting users to potential issues. The platform features three statistical engines: frequentist analysis is available for all plans, while sequential and Bayesian methods are reserved for Pro plans and above. Additionally, it includes a speed guardrail that compares the 75th percentile Largest Contentful Paint (LCP) against the control group, ensuring optimal performance metrics. Transparent pricing is available, with plans starting at $99 per month for up to 50,000 tracked users, $249 for 200,000 users, and $549 for up to 500,000 users, all of which come with a 14-day trial for monthly subscriptions to allow teams to evaluate the service effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS) Yes 
Apache Arrow Yes 
Apache Parquet Yes 
Google Cloud Platform Yes 
Google Colab Yes 
Hugging Face Yes 
Jupyter Notebook Yes 
Microsoft Azure Yes 
NumPy Yes 
PyTorch Yes 
Python Yes 
pandas Yes 

Integrations

Amazon Web Services (AWS) No 
Apache Arrow No 
Apache Parquet No 
Google Cloud Platform No 
Google Colab No 
Hugging Face No 
Jupyter Notebook No 
Microsoft Azure No 
NumPy No 
PyTorch No 
Python No 
pandas No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$99/month
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

3LC

Website

3lc.ai/

Vendor Details

Company Name

ABTestly

Founded

2025

Website

abtestly.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

AB Testing

Audience Targeting No 
Campaign Segmentation No 
Funnel Analysis No 
Heatmaps No 
Landing Pages / Web Forms No 
Multivariate Testing No 
Split Testing No 
Statistical Relevance Analysis No 
Surveys No 
Test Scheduling No 
Visual Editor No 

Alternatives

Alternatives

No Alternatives
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