Task scheduling library for Python
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+191
STARS · LAST 30 DAYS
6
PER DAY
#212
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +42 | +191 | +540 |
| Per day | 6 | 6 | 6 |
| Forks gained | +4 | +16 | +40 |
apscheduler gained 191 stars in the last 30 days, about 6 a day, and now has 7.6K. It is about 11 years old and has averaged roughly 695 stars a year. It ranks #212 among Python repositories and #1,309 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#3075
BEST RANK
Oct 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
apscheduler has maintained a continuous presence across global trending indexes, peaking at #3075. Below is the 30-day activity profile:
💡 Overview
apscheduler is an open-source project written in Python: Task scheduling library for Python.
Engineered for speed, consistency, and developer ease, it solves common hurdles in automation, cron, python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install apscheduler⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
apscheduler coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed apscheduler into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install apscheduler using your package manager: `pip install apscheduler`
Initialize your project workspace or configuration file for apscheduler.
Import apscheduler into your codebase or invoke it directly from your terminal.
Execute your test suite or run `apscheduler --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
agronholm/apscheduler is currently ranked #1,309 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does apscheduler do? +
Task scheduling library for Python
What language is apscheduler written in? +
The primary language is Python. Topics include: automation, cron, python, scheduling.
Is apscheduler actively maintained? +
Yes, the last recorded push was on Oct 3, 2026 with 60 open issues being tracked.
How many stars does apscheduler have? +
apscheduler has 7,644 stars and 799 forks on GitHub.
How does apscheduler rank among GitHub repositories? +
With 7,644 stars, agronholm/apscheduler is ranked #1,309 globally across all repositories tracked on GitHubRepo and #212 among Python projects.
What license is apscheduler distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
