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ramiro/pyodbc

Python ODBC bridge

★2STARS
⑂0FORKS
!0ISSUES
🏆#19,607GLOBAL RANK
🔥20DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,159

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

pyodbc gained 10 stars in the last 30 days, about 1 a day, and now has 2. It is about 18 years old and has averaged roughly 0 stars a year. It ranks #1,159 among C++ repositories and #19,607 across all languages on GitHubRepo.

Trending Record

pyodbc has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

pyodbc is an open-source project written in C++: Python ODBC bridge.

Engineered for speed, consistency, and developer ease, it solves common hurdles in C++. 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 C++ 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
$ git clone https://github.com/ramiro/pyodbc.git
cd pyodbc

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

pyodbc coordinates its core functionality through a modular C++ 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 pyodbc into C++ 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-0 license.

🚀 Getting Started

1

Install pyodbc using your package manager: `git clone https://github.com/ramiro/pyodbc.git`

2

Initialize your project workspace or configuration file for pyodbc.

3

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

4

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

👍 Strengths

Active community backing with 2 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT-0 license.
Built in C++ 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 C++ 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.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ramiro/pyodbc is currently ranked #19,607 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#18,217 matschaffer/mechaflickr Ruby ★ 3 Compare ↗
#18,217 gnu-lorien/crapvine Python ★ 3 Compare ↗
#18,217 francois/fogbugz-svnhook — ★ 3 Compare ↗
#18,217 anildigital/getfake Ruby ★ 3 Compare ↗
#18,217 mudge/blankable Ruby ★ 3 Compare ↗
#19,607 ramiro/pyodbc This Project C++ ★ 2
#19,607 pdsphil/ruby-merlin Ruby ★ 2 Compare ↗
#19,607 daaku/tempdir Ruby ★ 2 Compare ↗
#19,607 morgs/poll-builder Python ★ 2 Compare ↗
#19,607 locusf/monotooth HTML ★ 2 Compare ↗
#19,607 xman/utility Shell ★ 2 Compare ↗

Frequently Asked Questions

What does pyodbc do? +

Python ODBC bridge

What language is pyodbc written in? +

The primary language is C++. Topics include: software.

Is pyodbc actively maintained? +

Yes, the last recorded push was on Dec 21, 2008 with 0 open issues being tracked.

How many stars does pyodbc have? +

pyodbc has 2 stars and 0 forks on GitHub.

How does pyodbc rank among GitHub repositories? +

With 2 stars, ramiro/pyodbc is ranked #19,607 globally across all repositories tracked on GitHubRepo and #1,159 among C++ projects.

What license is pyodbc distributed under? +

The repository reports a MIT-0 license. Always verify the repository LICENSE file for legal terms.

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