A Living Benchmark for Machine Learning on Tabular Data
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,322
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
tabarena gained 10 stars in the last 30 days, about 1 a day, and now has 343. It is about 3 years old and has averaged roughly 114 stars a year. It ranks #1,322 among Python repositories and #10,280 across all languages on GitHubRepo.
Trending Record
8
DAYS ON TRENDING
#8768
BEST RANK
Oct 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tabarena has maintained a continuous presence across global trending indexes, peaking at #8768. Below is the 30-day activity profile:
💡 Overview
tabarena is an open-source project written in Python: A Living Benchmark for Machine Learning on Tabular Data.
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 tabarena
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
tabarena 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 tabarena 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 Apache-2.0 license.
🚀 Getting Started
Install tabarena using your package manager: `pip install tabarena`
Initialize your project workspace or configuration file for tabarena.
Import tabarena into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tabarena --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
autogluon/tabarena is currently ranked #10,280 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,268 | plutoprint/plutobook | C++ | ★ 344 | Compare ↗ |
| #10,268 | Verified-zkEVM/ArkLib | Lean | ★ 344 | Compare ↗ |
| #10,268 | meangrinch/MangaTranslator | Python | ★ 344 | Compare ↗ |
| #10,268 | ModelEngine-Group/unified-cache-management | C++ | ★ 344 | Compare ↗ |
| #10,268 | openJiuwen-ai/iCode | Python | ★ 344 | Compare ↗ |
| #10,280 | autogluon/tabarena This Project | Python | ★ 343 | |
| #10,280 | ci-reporter/ci_reporter | Ruby | ★ 343 | Compare ↗ |
| #10,280 | ericholscher/django-test-utils | Python | ★ 343 | Compare ↗ |
| #10,280 | apache/syncope | Java | ★ 343 | Compare ↗ |
| #10,280 | jitsi/jicofo | Kotlin | ★ 343 | Compare ↗ |
| #10,280 | mateidavid/zstr | C++ | ★ 343 | Compare ↗ |
Frequently Asked Questions
What does tabarena do? +
A Living Benchmark for Machine Learning on Tabular Data
What language is tabarena written in? +
The primary language is Python. Topics include: software.
Is tabarena actively maintained? +
Yes, the last recorded push was on Oct 10, 2026 with 17 open issues being tracked.
How many stars does tabarena have? +
tabarena has 343 stars and 81 forks on GitHub.
How does tabarena rank among GitHub repositories? +
With 343 stars, autogluon/tabarena is ranked #10,280 globally across all repositories tracked on GitHubRepo and #1,322 among Python projects.
What license is tabarena distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.