Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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
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