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benoitc
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benoitc/hypercouch

Full text indexing of CouchDB via HyperEstraier

Python ◇ developer-tools MIT
★7STARS
⑂0FORKS
!0ISSUES
🏆#10,950GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for benoitc/hypercouch
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,218

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

hypercouch gained 10 stars in the last 30 days, about 1 a day, and now has 7. It is about 18 years old and has averaged roughly 0 stars a year. It ranks #1,218 among Python repositories and #10,950 across all languages on GitHubRepo.

Trending Record

hypercouch has maintained a continuous presence across global trending indexes, peaking at #8180. Below is the 30-day activity profile:

💡 Overview

hypercouch is an open-source project written in Python: Full text indexing of CouchDB via HyperEstraier.

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

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install hypercouch

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

hypercouch 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 hypercouch 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

1

Install hypercouch using your package manager: `pip install hypercouch`

2

Initialize your project workspace or configuration file for hypercouch.

3

Import hypercouch into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `hypercouch --help` to verify successful setup.

👍 Strengths

Active community backing with 7 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 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

benoitc/hypercouch is currently ranked #10,950 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,738 digi604/django-dbforms Python ★ 8 Compare ↗
#10,738 gordonbisnor/Wilderness Ruby ★ 8 Compare ↗
#10,738 jdp/gluestick Ruby ★ 8 Compare ↗
#10,738 eyestreet/analytics_goo Ruby ★ 8 Compare ↗
#10,738 postmodern/ffi-udis86 Ruby ★ 8 Compare ↗
#10,950 benoitc/hypercouch This Project Python ★ 7
#10,950 nicksieger/jrexml Ruby ★ 7 Compare ↗
#10,950 ruphy/tagua C++ ★ 7 Compare ↗
#10,950 AndrewO/rubycas-client Ruby ★ 7 Compare ↗
#10,950 infil00p/wifidog---freethenet-client C ★ 7 Compare ↗
#10,950 jm/dcov Ruby ★ 7 Compare ↗

Frequently Asked Questions

What does hypercouch do? +

Full text indexing of CouchDB via HyperEstraier

What language is hypercouch written in? +

The primary language is Python. Topics include: software.

Is hypercouch actively maintained? +

Yes, the last recorded push was on Jan 24, 2009 with 0 open issues being tracked.

How many stars does hypercouch have? +

hypercouch has 7 stars and 0 forks on GitHub.

How does hypercouch rank among GitHub repositories? +

With 7 stars, benoitc/hypercouch is ranked #10,950 globally across all repositories tracked on GitHubRepo and #1,218 among Python projects.

What license is hypercouch distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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