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Edwardvaneechoud
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Edwardvaneechoud/Flowfile

Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically with a Polars-like API, and export to standalone Python code. Perfect for fast, intuitive data processing from development to production.

Python ◇ drag-and-drop MIT
★364STARS
⑂31FORKS
!29ISSUES
🏆#6,008GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#750

MOST-STARRED Python

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

Flowfile gained 10 stars in the last 30 days, about 1 a day, and now has 364. It is about 2 years old and has averaged roughly 182 stars a year. It ranks #750 among Python repositories and #6,008 across all languages on GitHubRepo.

Trending Record

Flowfile has maintained a continuous presence across global trending indexes, peaking at #5814. Below is the 30-day activity profile:

💡 Overview

Flowfile is an open-source project written in Python: Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically with a Polars-like API, and export to standalone Python code. Perfect for fast, intuitive data processing from development to production.

Engineered for speed, consistency, and developer ease, it solves common hurdles in drag-and-drop, etl, etl-pipeline. 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 Flowfile

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Flowfile 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

Modern Web Interfaces

Build dynamic, responsive user experiences with component-driven architecture.

Enterprise Design Systems

Standardize design tokens, accessible widgets, and themes across engineering teams.

Interactive Data Dashboards

Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.

Cross-Platform Web Apps

Deploy performant single-page applications optimized for both mobile and desktop browsers.

🚀 Getting Started

1

Install Flowfile using your package manager: `pip install Flowfile`

2

Initialize your project workspace or configuration file for Flowfile.

3

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

4

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

👍 Strengths

Active community backing with 364 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.

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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

Edwardvaneechoud/Flowfile is currently ranked #6,008 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,995 apache/httpcomponents-core Java ★ 365 Compare ↗
#5,995 oggy/looksee C ★ 365 Compare ↗
#5,995 pda/flexihash PHP ★ 365 Compare ↗
#5,995 yuroyami/syncplay-mobile Kotlin ★ 365 Compare ↗
#5,995 wasi-master/wmkeyboard Kotlin ★ 365 Compare ↗
#6,008 Edwardvaneechoud/Flowfile This Project Python ★ 364
#6,008 cuviper/ssh-pageant C ★ 364 Compare ↗
#6,008 apache/jackrabbit Java ★ 364 Compare ↗
#6,008 hackforla/website JavaScript ★ 364 Compare ↗
#6,012 timoncool/ACE-Step-Studio TypeScript ★ 363 Compare ↗
#6,012 nesquena/cap-recipes Ruby ★ 363 Compare ↗

Frequently Asked Questions

What does Flowfile do? +

Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically with a Polars-like API, and export to standalone Python code. Perfect for fast, intuitive data processing from development to production.

What language is Flowfile written in? +

The primary language is Python. Topics include: drag-and-drop, etl, etl-pipeline, polars, python.

Is Flowfile actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 29 open issues being tracked.

How many stars does Flowfile have? +

Flowfile has 364 stars and 31 forks on GitHub.

How does Flowfile rank among GitHub repositories? +

With 364 stars, Edwardvaneechoud/Flowfile is ranked #6,008 globally across all repositories tracked on GitHubRepo and #750 among Python projects.

What license is Flowfile distributed under? +

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

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