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microsoft/data-formulator

๐Ÿช„ Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.

โ˜…17.5KSTARS
โ‘‚1.7KFORKS
!109ISSUES
๐Ÿ†#596GLOBAL RANK
๐Ÿ”ฅ1DAYS TRENDING
๐Ÿš€
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Momentum

+438

STARS ยท LAST 30 DAYS

15

PER DAY

#108

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+105+438+1.4K
Per day151515
Forks gained+9+34+86

data-formulator gained 438 stars in the last 30 days, about 15 a day, and now has 17.5K. It is about 2 years old and has averaged roughly 8.8K stars a year. It ranks #108 among Python repositories and #596 across all languages on GitHubRepo.

Trending Record

data-formulator has maintained a continuous presence across global trending indexes, peaking at #2303. Below is the 30-day activity profile:

๐Ÿ’ก Overview

data-formulator is an open-source project written in Python: ๐Ÿช„ Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize 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.

โšก 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.

๐Ÿ“ฅ Installation

terminal
$ pip install data-formulator

โš™ System Requirements

Platforms

  • โ€ข macOS
  • โ€ข Linux
  • โ€ข Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

๐Ÿง  How It Works

data-formulator 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.

๐ŸŽฏ Production Use Cases

Production System Integration

Embed data-formulator 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 MIT license.

๐Ÿš€ Getting Started

1

Install data-formulator using your package manager: `pip install data-formulator`

2

Initialize your project workspace or configuration file for data-formulator.

3

Import data-formulator into your codebase or invoke it directly from your terminal.

4

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

๐Ÿ‘ Strengths

Active community backing with 17,503 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.

โš ๏ธ 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.

โ‡„ Alternatives & Direct Competitors

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๐Ÿ‘ฅ Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ† Nearby in the Rankings

microsoft/data-formulator is currently ranked #596 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#591 influxdata/telegraf Go โ˜… 17.8K Compare โ†—
#592 NixOS/nix C++ โ˜… 17.8K Compare โ†—
#593 leon-ai/leon TypeScript โ˜… 17.5K Compare โ†—
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#595 ahmedkhaleel2004/gitdiagram TypeScript โ˜… 17.5K Compare โ†—
#596 microsoft/data-formulator This Project Python โ˜… 17.5K
#597 caronc/apprise Python โ˜… 17.5K Compare โ†—
#598 nikic/PHP-Parser PHP โ˜… 17.5K Compare โ†—
#599 cure53/DOMPurify JavaScript โ˜… 17.4K Compare โ†—
#600 ranger/ranger Python โ˜… 17.4K Compare โ†—
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Frequently Asked Questions

What does data-formulator do? +

๐Ÿช„ Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.

What language is data-formulator written in? +

The primary language is Python. Topics include: software.

Is data-formulator actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 109 open issues being tracked.

How many stars does data-formulator have? +

data-formulator has 17,503 stars and 1,719 forks on GitHub.

How does data-formulator rank among GitHub repositories? +

With 17,503 stars, microsoft/data-formulator is ranked #596 globally across all repositories tracked on GitHubRepo and #108 among Python projects.

What license is data-formulator distributed under? +

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

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