spaCy Uptime Monitor
Industrial-Strength Natural Language Processing in Python
Last 30 Days Performance
Average Uptime
100%
Based on 30-day monitoring period
Average Response Time
152.63ms
Mean response time across all checks
Daily Status Overview
Hover for detailsHistorical Performance
Dec-2025
99.8% uptime
Monthly Uptime
99.8%
Monthly Response Time
130ms
Daily Status Breakdown
Nov-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
128ms
Daily Status Breakdown
Oct-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
132ms
Daily Status Breakdown
Sep-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
124ms
Daily Status Breakdown
Aug-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
126ms
Daily Status Breakdown
Jul-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
119ms
Daily Status Breakdown
Jun-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
125ms
Daily Status Breakdown
May-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
115ms
Daily Status Breakdown
Apr-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
219ms
Daily Status Breakdown
Related Uptime Monitors
Explore uptime status for similar tools that also have monitoring enabled.
-
OperationalNLTK
A leading platform for building Python programs to work with human language data.
NLTK (Natural Language Toolkit) is a comprehensive Python library for natural language processing, offering tools for tasks like tokenization, stemming, tagging, parsing, and semantic reasoning.
Last checked: 2 hours ago View Status -
OperationalApache OpenNLP
A Machine Learning Toolkit for Natural Language Processing
Apache OpenNLP is a machine learning based toolkit for processing natural language text. It supports common NLP tasks like sentence segmentation, tokenization, and parsing.
Last checked: 2 hours ago View Status -
OperationalDSPy
A framework for programming language models with declarative self-improving Python
DSPy is a framework that enables developers to program language models using modular Python code instead of prompts, offering algorithms for optimizing their prompts and weights for various AI applications like classifiers, RAG pipelines, and agent loops.
Last checked: 2 hours ago View Status