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datahub-project/datahub

The Context Platform for your Data and AI Stack

Python ◇ agent-platform Apache-2.0
★12.8KSTARS
⑂3.7KFORKS
!1,348ISSUES
🏆#1,007GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+320

STARS · LAST 30 DAYS

11

PER DAY

#164

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+77+320+990
Per day111111
Forks gained+19+74+186

datahub gained 320 stars in the last 30 days, about 11 a day, and now has 12.8K. It is about 11 years old and has averaged roughly 1.2K stars a year. It ranks #164 among Python repositories and #1,007 across all languages on GitHubRepo.

Trending Record

datahub has maintained a continuous presence across global trending indexes, peaking at #4078. Below is the 30-day activity profile:

💡 Overview

datahub is an open-source project written in Python: The Context Platform for your Data and AI Stack.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-platform, context-management, data-catalog. 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 datahub

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

datahub 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 datahub.

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 datahub using your package manager: `pip install datahub`

2

Initialize your project workspace or configuration file for datahub.

3

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

4

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

👍 Strengths

Active community backing with 12,814 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

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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

datahub-project/datahub is currently ranked #1,007 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,002 abraunegg/onedrive Python ★ 12.9K Compare ↗
#1,003 codexu/note-gen TypeScript ★ 12.9K Compare ↗
#1,004 codecentric/spring-boot-admin Java ★ 12.9K Compare ↗
#1,005 apache/zookeeper Java ★ 12.8K Compare ↗
#1,005 Piebald-AI/claude-code-system-prompts JavaScript ★ 12.8K Compare ↗
#1,007 datahub-project/datahub This Project Python ★ 12.8K
#1,008 PX4/PX4-Autopilot C++ ★ 12.8K Compare ↗
#1,009 cloudflare/quiche Rust ★ 12.8K Compare ↗
#1,010 libre-tube/LibreTube Kotlin ★ 12.8K Compare ↗
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Frequently Asked Questions

What does datahub do? +

The Context Platform for your Data and AI Stack

What language is datahub written in? +

The primary language is Python. Topics include: agent-platform, context-management, data-catalog, data-discovery, data-governance.

Is datahub actively maintained? +

Yes, the last recorded push was on Oct 12, 2026 with 1,348 open issues being tracked.

How many stars does datahub have? +

datahub has 12,814 stars and 3,710 forks on GitHub.

How does datahub rank among GitHub repositories? +

With 12,814 stars, datahub-project/datahub is ranked #1,007 globally across all repositories tracked on GitHubRepo and #164 among Python projects.

What license is datahub distributed under? +

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

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