An open-source dataset of malicious software packages found in the wild.
⚡ Executive Summary & Quick Facts
Authoritative Sourcemalicious-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
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,346
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| 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
7
DAYS ON TRENDING
#9556
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
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 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
Install malicious-software-packages-dataset using your package manager: `pip install malicious-software-packages-dataset`
Initialize your project workspace or configuration file for malicious-software-packages-dataset.
Import malicious-software-packages-dataset into your codebase or invoke it directly from your terminal.
Execute your test suite or run `malicious-software-packages-dataset --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/malicious-software-packages-dataset is currently ranked #10,384 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #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 ↗ |
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.