ZumingHuang/awesome-ocr-resources
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).
⚡ Executive Summary & Quick Facts
Authoritative Sourceawesome-ocr-resources is awesome-ocr-resources is an open-source project written in Python: A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition)..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ZumingHuang/awesome-ocr-resources has accumulated 440 GitHub stars and 74 forks. It is written in Python, licensed under MIT, and ranks #13,230 globally. It is actively maintained with the latest commit recorded on Oct 21, 2026.”
| Repository | ZumingHuang/awesome-ocr-resources ↗ |
|---|---|
| Primary Category | awesome |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 440 stars · ⑂ 74 forks · #13,230 globally |
| Maintenance | ● Active (Last commit: Oct 21, 2026) · 4 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, awesome-ocr-resources is actively maintained. Continuous telemetry recorded the last code commit on Oct 21, 2026 (23 days ago). Supported by 440 stars and 74 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (23 days ago) and healthy issue cadence.
Star History
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+11
STARS · LAST 30 DAYS
1
PER DAY
#1,789
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +11 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
awesome-ocr-resources gained 11 stars in the last 30 days, about 1 a day, and now has 440. It is about 8 years old and has averaged roughly 55 stars a year. It ranks #1,789 among Python repositories and #13,230 across all languages on GitHubRepo.
Trending Record
19
DAYS ON TRENDING
#10944
BEST RANK
Oct 21, 2026
FIRST APPEARANCE
Active
STATUS TODAY
awesome-ocr-resources has maintained a continuous presence across global trending indexes, peaking at #10944. Below is the 30-day activity profile:
💡 Overview
awesome-ocr-resources is an open-source project written in Python: A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).
Engineered for speed, consistency, and developer ease, it solves common hurdles in awesome, computer-vision, deep-learning. 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 awesome-ocr-resources⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
awesome-ocr-resources 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 awesome-ocr-resources 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 awesome-ocr-resources using your package manager: `pip install awesome-ocr-resources`
Initialize your project workspace or configuration file for awesome-ocr-resources.
Import awesome-ocr-resources into your codebase or invoke it directly from your terminal.
Execute your test suite or run `awesome-ocr-resources --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
ZumingHuang/awesome-ocr-resources is currently ranked #13,230 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #13,221 | pyrosm/pyrosm | Python | ★ 441 | Compare ↗ |
| #13,221 | awcodes/filament-curator | PHP | ★ 441 | Compare ↗ |
| #13,221 | gustavofreze/kotlin4noobs | Kotlin | ★ 441 | Compare ↗ |
| #13,221 | google/googletest-rust | Rust | ★ 441 | Compare ↗ |
| #13,221 | heymaikol/network-doctor | Go | ★ 441 | Compare ↗ |
| #13,230 | ZumingHuang/awesome-ocr-resources This Project | Python | ★ 440 | |
| #13,230 | LiosK/UUID.js | JavaScript | ★ 440 | Compare ↗ |
| #13,230 | giorgiosironi/eris | PHP | ★ 440 | Compare ↗ |
| #13,230 | AccountGo/accountgo | C# | ★ 440 | Compare ↗ |
| #13,230 | SpongePowered/Sponge | Java | ★ 440 | Compare ↗ |
| #13,230 | alafr/SVG-to-PDFKit | JavaScript | ★ 440 | Compare ↗ |
Frequently Asked Questions
What does awesome-ocr-resources do? +
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).
Is awesome-ocr-resources actively maintained in 2026? +
Yes, awesome-ocr-resources is actively maintained. The latest code push was recorded on Oct 21, 2026 (23 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 440 stars and 4 open issues.
What language is awesome-ocr-resources written in? +
The primary language is Python. Topics include: awesome, computer-vision, deep-learning, end-to-end-ocr, machine-learning.
How many stars does awesome-ocr-resources have? +
awesome-ocr-resources has 440 stars and 74 forks on GitHub.
How does awesome-ocr-resources rank among GitHub repositories? +
With 440 stars, ZumingHuang/awesome-ocr-resources is ranked #13,230 globally across all repositories tracked on GitHubRepo and #1,789 among Python projects.
What license is awesome-ocr-resources distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
