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gtalarico/pyairtable

Python Api Client for Airtable

Python ◇ airtable MIT
★892STARS
⑂156FORKS
!0ISSUES
🏆#2,841GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for gtalarico/pyairtable
CSV

Momentum

+22

STARS · LAST 30 DAYS

1

PER DAY

#355

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+22+90
Per day111
Forks gained+1+3+10

pyairtable gained 22 stars in the last 30 days, about 1 a day, and now has 892. It is about 9 years old and has averaged roughly 99 stars a year. It ranks #355 among Python repositories and #2,841 across all languages on GitHubRepo.

Trending Record

pyairtable has maintained a continuous presence across global trending indexes, peaking at #1233. Below is the 30-day activity profile:

💡 Overview

pyairtable is an open-source project written in Python: Python Api Client for Airtable.

Engineered for speed, consistency, and developer ease, it solves common hurdles in airtable, api, api-wrapper. 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 pyairtable

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

pyairtable 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 pyairtable.

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 pyairtable using your package manager: `pip install pyairtable`

2

Initialize your project workspace or configuration file for pyairtable.

3

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

4

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

👍 Strengths

Active community backing with 892 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

💡
Open Source Alternative to Airtable Replaces proprietary subscriptions ($20–$45/user/month) with self-hosted freedom.
Explore all Airtable alternatives →
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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

gtalarico/pyairtable is currently ranked #2,841 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,836 machine/machine.specifications C# ★ 897 Compare ↗
#2,836 hughhowey/neo JavaScript ★ 897 Compare ↗
#2,838 sugarlabs/musicblocks JavaScript ★ 896 Compare ↗
#2,839 ZeusAutomacao/DFe.NET C# ★ 894 Compare ↗
#2,840 better-lyrics/better-lyrics TypeScript ★ 893 Compare ↗
#2,841 gtalarico/pyairtable This Project Python ★ 892
#2,841 gmazzo/gradle-buildconfig-plugin Kotlin ★ 892 Compare ↗
#2,843 ComposeGears/Valkyrie Kotlin ★ 891 Compare ↗
#2,844 actix/actix-extras Rust ★ 890 Compare ↗
#2,844 htkhiem/euphonica Rust ★ 890 Compare ↗
#2,844 aload0/AppLock Kotlin ★ 890 Compare ↗

Frequently Asked Questions

What does pyairtable do? +

Python Api Client for Airtable

What language is pyairtable written in? +

The primary language is Python. Topics include: airtable, api, api-wrapper, client, python.

Is pyairtable actively maintained? +

Yes, the last recorded push was on Sep 24, 2026 with 0 open issues being tracked.

How many stars does pyairtable have? +

pyairtable has 892 stars and 156 forks on GitHub.

How does pyairtable rank among GitHub repositories? +

With 892 stars, gtalarico/pyairtable is ranked #2,841 globally across all repositories tracked on GitHubRepo and #355 among Python projects.

What license is pyairtable distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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