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mkleehammer
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mkleehammer/pyodbc

Python ODBC bridge

C++ ◇ database MIT-0
★3.1KSTARS
⑂569FORKS
!61ISSUES
🏆#1,467GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for mkleehammer/pyodbc
CSV

Momentum

+77

STARS · LAST 30 DAYS

3

PER DAY

#94

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+21+77+270
Per day333
Forks gained+3+11+28

pyodbc gained 77 stars in the last 30 days, about 3 a day, and now has 3.1K. It is about 18 years old and has averaged roughly 171 stars a year. It ranks #94 among C++ repositories and #1,467 across all languages on GitHubRepo.

Trending Record

pyodbc has maintained a continuous presence across global trending indexes, peaking at #1171. 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 database, dbapi, odbc. 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/mkleehammer/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

High-Throughput Storage

Persist and retrieve structured data records with minimal latency and high concurrency.

In-Memory Caching

Accelerate application response times by caching frequently queried database entities.

Analytical Queries

Run aggregate metrics and point lookups across large sets of records.

Distributed Replication

Synchronize state across multiple cluster nodes with strong consistency guarantees.

🚀 Getting Started

1

Install pyodbc using your package manager: `git clone https://github.com/mkleehammer/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 3,083 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.

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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

mkleehammer/pyodbc is currently ranked #1,467 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#1,467 mkleehammer/pyodbc This Project C++ ★ 3.1K
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Frequently Asked Questions

What does pyodbc do? +

Python ODBC bridge

What language is pyodbc written in? +

The primary language is C++. Topics include: database, dbapi, odbc, python.

Is pyodbc actively maintained? +

Yes, the last recorded push was on Jun 6, 2026 with 61 open issues being tracked.

How many stars does pyodbc have? +

pyodbc has 3,083 stars and 569 forks on GitHub.

How does pyodbc rank among GitHub repositories? +

With 3,083 stars, mkleehammer/pyodbc is ranked #1,467 globally across all repositories tracked on GitHubRepo and #94 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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