Prototyping numpy arrays with named axes for data management.
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/BIDS/datarray?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/BIDS/datarray?utm_source=readme_badge) [](https://githubrepo.cloud/repo/BIDS/datarray?utm_source=readme_badge) [](https://githubrepo.cloud/repo/BIDS/datarray?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,396
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 |
datarray gained 10 stars in the last 30 days, about 1 a day, and now has 89. It is about 17 years old and has averaged roughly 5 stars a year. It ranks #1,396 among Python repositories and #10,598 across all languages on GitHubRepo.
Trending Record
37
DAYS ON TRENDING
#100
BEST RANK
Jul 15, 2009
FIRST APPEARANCE
Active
STATUS TODAY
datarray has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
datarray is an open-source project written in Python: Prototyping numpy arrays with named axes for data management.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 datarray⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
datarray 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
Production System Integration
Embed datarray into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open NOASSERTION license.
🚀 Getting Started
Install datarray using your package manager: `pip install datarray`
Initialize your project workspace or configuration file for datarray.
Import datarray into your codebase or invoke it directly from your terminal.
Execute your test suite or run `datarray --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
BIDS/datarray is currently ranked #10,598 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,588 | sunlightlabs/django-gatekeeper | Python | ★ 90 | Compare ↗ |
| #10,588 | aliter/aliter | Erlang | ★ 90 | Compare ↗ |
| #10,588 | mbbx6spp/twitter4r | Ruby | ★ 90 | Compare ↗ |
| #10,588 | XulongT/EmboDi | JavaScript | ★ 90 | Compare ↗ |
| #10,588 | DaVarga/bs-arm64 | C++ | ★ 90 | Compare ↗ |
| #10,598 | BIDS/datarray This Project | Python | ★ 89 | |
| #10,598 | toy/dump | Ruby | ★ 89 | Compare ↗ |
| #10,598 | tcurdt/jdependency | Java | ★ 89 | Compare ↗ |
| #10,598 | kyleshank/apt-transport-s3 | C++ | ★ 89 | Compare ↗ |
| #10,598 | tbalthazar-archives/ubuntu-machine | Ruby | ★ 89 | Compare ↗ |
| #10,598 | kbroman/qtl | R | ★ 89 | Compare ↗ |
Frequently Asked Questions
What does datarray do? +
Prototyping numpy arrays with named axes for data management.
What language is datarray written in? +
The primary language is Python. Topics include: software.
Is datarray actively maintained? +
Yes, the last recorded push was on Jan 18, 2023 with 11 open issues being tracked.
How many stars does datarray have? +
datarray has 89 stars and 20 forks on GitHub.
How does datarray rank among GitHub repositories? +
With 89 stars, BIDS/datarray is ranked #10,598 globally across all repositories tracked on GitHubRepo and #1,396 among Python projects.
What license is datarray distributed under? +
The repository reports a NOASSERTION license. Always verify the repository LICENSE file for legal terms.
