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DataDog/malicious-software-packages-dataset

An open-source dataset of malicious software packages found in the wild.

Python ◇ dataset Apache-2.0
★387STARS
⑂58FORKS
!5ISSUES
🏆#10,384GLOBAL RANK
🔥7DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

malicious-software-packages-dataset is malicious-software-packages-dataset is an open-source project written in Python: An open-source dataset of malicious software packages found in the wild.. It provides a free, self-hosted open-source alternative to Datadog.

Repository DataDog/malicious-software-packages-dataset ↗
Primary Category dataset
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 387 stars · ⑂ 58 forks · #10,384 globally
Maintenance ● Active (Last commit: Oct 15, 2026) · 5 open issues
Replaces SaaS Open Source Datadog Alternative ($15–$23 per host/month + data retention & ingest billing) →
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

Star History

Continuous Observations
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,346

MOST-STARRED Python

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

malicious-software-packages-dataset gained 10 stars in the last 30 days, about 1 a day, and now has 387. It is about 4 years old and has averaged roughly 97 stars a year. It ranks #1,346 among Python repositories and #10,384 across all languages on GitHubRepo.

Trending Record

malicious-software-packages-dataset has maintained a continuous presence across global trending indexes, peaking at #9556. Below is the 30-day activity profile:

💡 Overview

malicious-software-packages-dataset is an open-source project written in Python: An open-source dataset of malicious software packages found in the wild.

Engineered for speed, consistency, and developer ease, it solves common hurdles in dataset, guarddog, malicious-packages. 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 malicious-software-packages-dataset

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

malicious-software-packages-dataset 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 malicious-software-packages-dataset.

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 malicious-software-packages-dataset using your package manager: `pip install malicious-software-packages-dataset`

2

Initialize your project workspace or configuration file for malicious-software-packages-dataset.

3

Import malicious-software-packages-dataset into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `malicious-software-packages-dataset --help` to verify successful setup.

👍 Strengths

Active community backing with 386 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

💡
Open Source Alternative to Datadog Replaces proprietary subscriptions ($15–$23 per host/month + data retention & ingest billing) with self-hosted freedom.
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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/malicious-software-packages-dataset is currently ranked #10,384 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,372 livekit/server-sdk-go Go ★ 388 Compare ↗
#10,372 zilliztech/knowhere C++ ★ 388 Compare ↗
#10,372 tqec/tqec Python ★ 388 Compare ↗
#10,372 CraftOS-dev/CraftBot Python ★ 388 Compare ↗
#10,372 vivy-company/vvterm Swift ★ 388 Compare ↗
#10,384 DataDog/malicious-software-packages-dataset This Project Python ★ 387
#10,384 petermichaux/bootstrap-scheme C ★ 387 Compare ↗
#10,384 majorsilence/Reporting C# ★ 387 Compare ↗
#10,384 approvals/ApprovalTests.Java Java ★ 387 Compare ↗
#10,384 openITCOCKPIT/openITCOCKPIT PHP ★ 387 Compare ↗
#10,384 longhorn/longhorn-engine Go ★ 387 Compare ↗
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Frequently Asked Questions

What does malicious-software-packages-dataset do? +

An open-source dataset of malicious software packages found in the wild.

What language is malicious-software-packages-dataset written in? +

The primary language is Python. Topics include: dataset, guarddog, malicious-packages, software-supply-chain-security.

Is malicious-software-packages-dataset actively maintained? +

Yes, the last recorded push was on Oct 15, 2026 with 5 open issues being tracked.

How many stars does malicious-software-packages-dataset have? +

malicious-software-packages-dataset has 387 stars and 58 forks on GitHub.

How does malicious-software-packages-dataset rank among GitHub repositories? +

With 387 stars, DataDog/malicious-software-packages-dataset is ranked #10,384 globally across all repositories tracked on GitHubRepo and #1,346 among Python projects.

What license is malicious-software-packages-dataset distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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