The Datadog Python library
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+17
STARS · LAST 30 DAYS
1
PER DAY
#769
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +17 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +7 | +16 |
datadogpy gained 17 stars in the last 30 days, about 1 a day, and now has 672. It is about 12 years old and has averaged roughly 56 stars a year. It ranks #769 among Python repositories and #5,742 across all languages on GitHubRepo.
Trending Record
52
DAYS ON TRENDING
#100
BEST RANK
Jan 27, 2015
FIRST APPEARANCE
Active
STATUS TODAY
datadogpy has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
datadogpy is an open-source project written in Python: The Datadog Python library.
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 datadogpy⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
datadogpy 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 datadogpy 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 NOASSERTION license.
🚀 Getting Started
Install datadogpy using your package manager: `pip install datadogpy`
Initialize your project workspace or configuration file for datadogpy.
Import datadogpy into your codebase or invoke it directly from your terminal.
Execute your test suite or run `datadogpy --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
DataDog/datadogpy is currently ranked #5,742 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,734 | StackExchange/Stacks | TypeScript | ★ 673 | Compare ↗ |
| #5,734 | GerbilSoft/rom-properties | C++ | ★ 673 | Compare ↗ |
| #5,734 | automateyournetwork/netclaw | Python | ★ 673 | Compare ↗ |
| #5,734 | jdx/pitchfork | Rust | ★ 673 | Compare ↗ |
| #5,734 | gentoo/portage | Python | ★ 673 | Compare ↗ |
| #5,742 | DataDog/datadogpy This Project | Python | ★ 672 | |
| #5,742 | trypostit/trypost | PHP | ★ 672 | Compare ↗ |
| #5,742 | google/jsir | C++ | ★ 672 | Compare ↗ |
| #5,744 | kubernetes-csi/csi-driver-smb | Go | ★ 671 | Compare ↗ |
| #5,744 | tamboui/tamboui | Java | ★ 671 | Compare ↗ |
| #5,744 | 0din-ai/ai-scanner | Ruby | ★ 671 | Compare ↗ |
Frequently Asked Questions
What does datadogpy do? +
The Datadog Python library
What language is datadogpy written in? +
The primary language is Python. Topics include: software.
Is datadogpy actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 89 open issues being tracked.
How many stars does datadogpy have? +
datadogpy has 672 stars and 327 forks on GitHub.
How does datadogpy rank among GitHub repositories? +
With 672 stars, DataDog/datadogpy is ranked #5,742 globally across all repositories tracked on GitHubRepo and #769 among Python projects.
What license is datadogpy distributed under? +
The repository reports a NOASSERTION license. Always verify the repository LICENSE file for legal terms.
