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vectordotdev/vector

A high-performance observability data pipeline.

Rust ◇ agent MPL-2.0
★22.7KSTARS
⑂2.3KFORKS
!2,486ISSUES
🏆#472GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+566

STARS · LAST 30 DAYS

19

PER DAY

#61

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+133+566+1.7K
Per day191919
Forks gained+12+46+115

vector gained 566 stars in the last 30 days, about 19 a day, and now has 22.7K. It is about 8 years old and has averaged roughly 2.8K stars a year. It ranks #61 among Rust repositories and #472 across all languages on GitHubRepo.

Trending Record

vector has maintained a continuous presence across global trending indexes, peaking at #2245. Below is the 30-day activity profile:

💡 Overview

vector is an open-source project written in Rust: A high-performance observability data pipeline.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, cloud-native, data-transformation. 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 Rust 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
$ cargo install vector

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

vector coordinates its core functionality through a modular Rust 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 vector.

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 vector using your package manager: `cargo install vector`

2

Initialize your project workspace or configuration file for vector.

3

Import vector into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 22,656 GitHub stars and verified adoption.
Permissive open-source distribution under the MPL-2.0 license.
Built in Rust 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 Rust 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.
Explore all Datadog alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

vectordotdev/vector is currently ranked #472 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#467 oxc-project/oxc Rust ★ 22.9K Compare ↗
#468 mochajs/mocha JavaScript ★ 22.9K Compare ↗
#469 forem/forem Ruby ★ 22.8K Compare ↗
#470 ratatui/ratatui Rust ★ 22.8K Compare ↗
#471 TecharoHQ/anubis Go ★ 22.7K Compare ↗
#472 vectordotdev/vector This Project Rust ★ 22.7K
#473 renovatebot/renovate TypeScript ★ 22.6K Compare ↗
#474 apache/rocketmq Java ★ 22.6K Compare ↗
#475 HyNetworks/hysteria Go ★ 22.6K Compare ↗
#476 NVIDIA/NemoClaw TypeScript ★ 22.6K Compare ↗
#477 thingsboard/thingsboard Java ★ 22.5K Compare ↗

Frequently Asked Questions

What does vector do? +

A high-performance observability data pipeline.

What language is vector written in? +

The primary language is Rust. Topics include: agent, cloud-native, data-transformation, datadog, etl.

Is vector actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 2,486 open issues being tracked.

How many stars does vector have? +

vector has 22,656 stars and 2,304 forks on GitHub.

How does vector rank among GitHub repositories? +

With 22,656 stars, vectordotdev/vector is ranked #472 globally across all repositories tracked on GitHubRepo and #61 among Rust projects.

What license is vector distributed under? +

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

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