A record reader for hadoop CSV files
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,804
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
hadoop_record 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 #2,804 among Python repositories and #22,811 across all languages on GitHubRepo.
Trending Record
22
DAYS ON TRENDING
#100
BEST RANK
Nov 2, 2009
FIRST APPEARANCE
Active
STATUS TODAY
hadoop_record has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
hadoop_record is an open-source project written in Python: A record reader for hadoop CSV files.
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 hadoop_record⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
hadoop_record 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 hadoop_record 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 hadoop_record using your package manager: `pip install hadoop_record`
Initialize your project workspace or configuration file for hadoop_record.
Import hadoop_record into your codebase or invoke it directly from your terminal.
Execute your test suite or run `hadoop_record --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
ptarjan/hadoop_record is currently ranked #22,811 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #22,165 | wezside/Toolkit | ActionScript | ★ 6 | Compare ↗ |
| #22,165 | kylef-archive/zmb | Ruby | ★ 6 | Compare ↗ |
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| #22,165 | jself/erl_auth | Erlang | ★ 6 | Compare ↗ |
| #22,165 | japetheape/expurrel | Ruby | ★ 6 | Compare ↗ |
| #22,811 | ptarjan/hadoop_record This Project | Python | ★ 5 | |
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Frequently Asked Questions
What does hadoop_record do? +
A record reader for hadoop CSV files
What language is hadoop_record written in? +
The primary language is Python. Topics include: software.
Is hadoop_record actively maintained? +
Yes, the last recorded push was on Nov 19, 2009 with 0 open issues being tracked.
How many stars does hadoop_record have? +
hadoop_record has 5 stars and 0 forks on GitHub.
How does hadoop_record rank among GitHub repositories? +
With 5 stars, ptarjan/hadoop_record is ranked #22,811 globally across all repositories tracked on GitHubRepo and #2,804 among Python projects.
What license is hadoop_record distributed under? +
No SPDX license identified yet. Code without a license is subject to copyright by default.
