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DataDog/integrations-core

Core integrations of the Datadog Agent

Python ◇ datadog BSD-3-Clause
★1.1KSTARS
⑂1.6KFORKS
!495ISSUES
🏆#3,684GLOBAL RANK
🔥2DAYS TRENDING
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+29

STARS · LAST 30 DAYS

1

PER DAY

#486

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+29+90
Per day111
Forks gained+8+31+78

integrations-core gained 29 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 11 years old and has averaged roughly 104 stars a year. It ranks #486 among Python repositories and #3,684 across all languages on GitHubRepo.

Trending Record

integrations-core has maintained a continuous presence across global trending indexes, peaking at #4012. Below is the 30-day activity profile:

💡 Overview

integrations-core is an open-source project written in Python: Core integrations of the Datadog Agent.

Engineered for speed, consistency, and developer ease, it solves common hurdles in datadog, datadog-agent, dd. 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 integrations-core

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

integrations-core 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with integrations-core.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install integrations-core using your package manager: `pip install integrations-core`

2

Initialize your project workspace or configuration file for integrations-core.

3

Import integrations-core into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 1,146 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause 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.

⇄ Alternatives & Direct Competitors

💡
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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

DataDog/integrations-core is currently ranked #3,684 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,679 Woolverine94/biniou Python ★ 1.2K Compare ↗
#3,679 AI-FanGe/Microduck-build-tutorial Python ★ 1.2K Compare ↗
#3,681 NVIDIA/cuda-quantum C++ ★ 1.1K Compare ↗
#3,681 imputnet/helium-macos C++ ★ 1.1K Compare ↗
#3,683 savoirfairelinux/opendht C++ ★ 1.1K Compare ↗
#3,684 DataDog/integrations-core This Project Python ★ 1.1K
#3,684 platonai/Browser4 Kotlin ★ 1.1K Compare ↗
#3,684 ponder-sh/ponder TypeScript ★ 1.1K Compare ↗
#3,687 LodyAI/Lody TypeScript ★ 1.1K Compare ↗
#3,687 TrunkRecorder/trunk-recorder C++ ★ 1.1K Compare ↗
#3,689 openhab/openhab-core Java ★ 1.1K Compare ↗

Frequently Asked Questions

What does integrations-core do? +

Core integrations of the Datadog Agent

What language is integrations-core written in? +

The primary language is Python. Topics include: datadog, datadog-agent, dd, integrations.

Is integrations-core actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 495 open issues being tracked.

How many stars does integrations-core have? +

integrations-core has 1,146 stars and 1,564 forks on GitHub.

How does integrations-core rank among GitHub repositories? +

With 1,146 stars, DataDog/integrations-core is ranked #3,684 globally across all repositories tracked on GitHubRepo and #486 among Python projects.

What license is integrations-core distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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