datahub-project/datahub
The Context Platform for your Data and AI Stack
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/datahub-project/datahub?utm_source=readme_chart)
Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/datahub-project/datahub?utm_source=readme_badge) [](https://githubrepo.cloud/repo/datahub-project/datahub?utm_source=readme_badge) [](https://githubrepo.cloud/repo/datahub-project/datahub?utm_source=readme_badge)
Momentum
+320
STARS · LAST 30 DAYS
11
PER DAY
#164
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +77 | +320 | +990 |
| Per day | 11 | 11 | 11 |
| 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
1
DAYS ON TRENDING
#4078
BEST RANK
Oct 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
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 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
Install datahub using your package manager: `pip install datahub`
Initialize your project workspace or configuration file for datahub.
Import datahub into your codebase or invoke it directly from your terminal.
Execute your test suite or run `datahub --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
datahub-project/datahub is currently ranked #1,007 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #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 ↗ |
| #1,011 | n0-computer/iroh | Rust | ★ 12.7K | Compare ↗ |
| #1,012 | Automattic/wp-calypso | TypeScript | ★ 12.6K | Compare ↗ |
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.