Captum Uptime Monitor
Model Interpretability for PyTorch
Last 30 Days Performance
Average Uptime
100%
Based on 30-day monitoring period
Average Response Time
99.87ms
Mean response time across all checks
Daily Status Overview
Hover for detailsHistorical Performance
Dec-2025
99.81% uptime
Monthly Uptime
99.81%
Monthly Response Time
102ms
Daily Status Breakdown
Nov-2025
99.59% uptime
Monthly Uptime
99.59%
Monthly Response Time
99ms
Daily Status Breakdown
Oct-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
103ms
Daily Status Breakdown
Sep-2025
99.86% uptime
Monthly Uptime
99.86%
Monthly Response Time
107ms
Daily Status Breakdown
Aug-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
106ms
Daily Status Breakdown
Jul-2025
99.87% uptime
Monthly Uptime
99.87%
Monthly Response Time
94ms
Daily Status Breakdown
Jun-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
101ms
Daily Status Breakdown
May-2025
99.93% uptime
Monthly Uptime
99.93%
Monthly Response Time
106ms
Daily Status Breakdown
Apr-2025
98.89% uptime
Monthly Uptime
98.89%
Monthly Response Time
138ms
Daily Status Breakdown
Related Uptime Monitors
Explore uptime status for similar tools that also have monitoring enabled.
-
OperationalPyTorch
An open source machine learning framework for research and production.
PyTorch is an open-source machine learning framework facilitating the transition from research prototyping to production deployment, featuring distributed training and a robust ecosystem.
Last checked: 3 hours ago View Status -
OperationalLabml Neural Networks
Annotated PyTorch Implementations of Neural Networks and Algorithms
Labml Neural Networks offers a collection of simple, well-documented PyTorch implementations of various neural networks and algorithms, designed for better understanding.
Last checked: 3 hours ago View Status