stevekrenzel/Persistent
Data structures for python that are contained entirely on disk. They are persistent and because everything is always on disk they use a constant (and very small) amount of ram.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/stevekrenzel/Persistent?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/stevekrenzel/Persistent?utm_source=readme_badge) [](https://githubrepo.cloud/repo/stevekrenzel/Persistent?utm_source=readme_badge) [](https://githubrepo.cloud/repo/stevekrenzel/Persistent?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,965
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
Persistent gained 10 stars in the last 30 days, about 1 a day, and now has 5. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #1,965 among Python repositories and #16,701 across all languages on GitHubRepo.
Trending Record
22
DAYS ON TRENDING
#100
BEST RANK
May 29, 2009
FIRST APPEARANCE
Active
STATUS TODAY
Persistent has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
Persistent is an open-source project written in Python: Data structures for python that are contained entirely on disk. They are persistent and because everything is always on disk they use a constant (and very small) amount of ram.
Engineered for speed, consistency, and developer ease, it solves common hurdles in 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 Persistent⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Persistent 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 Persistent 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 source license.
🚀 Getting Started
Install Persistent using your package manager: `pip install Persistent`
Initialize your project workspace or configuration file for Persistent.
Import Persistent into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Persistent --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
stevekrenzel/Persistent is currently ranked #16,701 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #16,211 | lachie/logeye | Ruby | ★ 6 | Compare ↗ |
| #16,211 | drnic/comment_replies | JavaScript | ★ 6 | Compare ↗ |
| #16,211 | lancecarlson/kissgen | Ruby | ★ 6 | Compare ↗ |
| #16,211 | collectiveidea/css_naked_day | Ruby | ★ 6 | Compare ↗ |
| #16,211 | jnicklas/rorem | Ruby | ★ 6 | Compare ↗ |
| #16,701 | stevekrenzel/Persistent This Project | Python | ★ 5 | |
| #16,701 | psq/mephisto-erb-templates-plugin | Ruby | ★ 5 | Compare ↗ |
| #16,701 | francois/family_budget | JavaScript | ★ 5 | Compare ↗ |
| #16,701 | ask/roleplay | Python | ★ 5 | Compare ↗ |
| #16,701 | crafterm/guitarzero | Ruby | ★ 5 | Compare ↗ |
| #16,701 | rictic/test-parser | Ruby | ★ 5 | Compare ↗ |
Frequently Asked Questions
What does Persistent do? +
Data structures for python that are contained entirely on disk. They are persistent and because everything is always on disk they use a constant (and very small) amount of ram.
What language is Persistent written in? +
The primary language is Python. Topics include: software.
Is Persistent actively maintained? +
Yes, the last recorded push was on Mar 30, 2010 with 0 open issues being tracked.
How many stars does Persistent have? +
Persistent has 5 stars and 0 forks on GitHub.
How does Persistent rank among GitHub repositories? +
With 5 stars, stevekrenzel/Persistent is ranked #16,701 globally across all repositories tracked on GitHubRepo and #1,965 among Python projects.
What license is Persistent distributed under? +
No SPDX license identified yet. Code without a license is subject to copyright by default.
