OpenTabular/DeepTab
DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.
⚡ Executive Summary & Quick Facts
Authoritative SourceDeepTab is DeepTab is an open-source project written in Python: DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), OpenTabular/DeepTab has accumulated 328 GitHub stars and 27 forks. It is written in Python, licensed under MIT, and ranks #15,233 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
| Repository | OpenTabular/DeepTab ↗ |
|---|---|
| Primary Category | classification |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 328 stars · ⑂ 27 forks · #15,233 globally |
| Maintenance | ● Active (Last commit: Nov 2, 2026) · 74 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, DeepTab is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (11 days ago). Supported by 328 stars and 27 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,053
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 |
DeepTab gained 10 stars in the last 30 days, about 1 a day, and now has 328. It is about 3 years old and has averaged roughly 109 stars a year. It ranks #2,053 among Python repositories and #15,233 across all languages on GitHubRepo.
Trending Record
10
DAYS ON TRENDING
#13838
BEST RANK
Oct 31, 2026
FIRST APPEARANCE
Active
STATUS TODAY
DeepTab has maintained a continuous presence across global trending indexes, peaking at #13838. Below is the 30-day activity profile:
💡 Overview
DeepTab is an open-source project written in Python: DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.
Engineered for speed, consistency, and developer ease, it solves common hurdles in classification, deeplearning, distributional-regression. 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 DeepTab⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
DeepTab 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 DeepTab.
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 DeepTab using your package manager: `pip install DeepTab`
Initialize your project workspace or configuration file for DeepTab.
Import DeepTab into your codebase or invoke it directly from your terminal.
Execute your test suite or run `DeepTab --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
OpenTabular/DeepTab is currently ranked #15,233 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #15,206 | bikeshaving/termdom | TypeScript | ★ 329 | Compare ↗ |
| #15,206 | du82/nonograph | Rust | ★ 329 | Compare ↗ |
| #15,206 | michaelwilhelmsen/humla | Rust | ★ 329 | Compare ↗ |
| #15,206 | p10node/k10s | Go | ★ 329 | Compare ↗ |
| #15,206 | VantaCode420/SmartHdrManager | C# | ★ 329 | Compare ↗ |
| #15,233 | OpenTabular/DeepTab This Project | Python | ★ 328 | |
| #15,233 | eigenben/nilify_blanks | Ruby | ★ 328 | Compare ↗ |
| #15,233 | matthooks/vimeo | Ruby | ★ 328 | Compare ↗ |
| #15,233 | roma/roma | Ruby | ★ 328 | Compare ↗ |
| #15,233 | wg/epgsql | Erlang | ★ 328 | Compare ↗ |
| #15,233 | yiisoft/yii2-mongodb | PHP | ★ 328 | Compare ↗ |
Frequently Asked Questions
What does DeepTab do? +
DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.
Is DeepTab actively maintained in 2026? +
Yes, DeepTab is actively maintained. The latest code push was recorded on Nov 2, 2026 (11 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 328 stars and 74 open issues.
What language is DeepTab written in? +
The primary language is Python. Topics include: classification, deeplearning, distributional-regression, ft-transformer, mamba.
How many stars does DeepTab have? +
DeepTab has 328 stars and 27 forks on GitHub.
How does DeepTab rank among GitHub repositories? +
With 328 stars, OpenTabular/DeepTab is ranked #15,233 globally across all repositories tracked on GitHubRepo and #2,053 among Python projects.
What license is DeepTab distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
