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LoomFlow

loomflow.devData integration & ETL

PulseGate's liveness check found it on 19 Sep 2026; it is registered on GitHub and has been in the index since 19 Sep 2026. How this is checked

LoomFlow is an open-source visual ETL platform for designing and executing directed acyclic graph data pipelines locally. It uses Polars for dataframe processing, provides Python orchestration and an embedded IDE, and supports Gemini-powered multimodal workflows for analysts and engineers.

Inferred · not functionally tested

Open SourceMITWebCLISelf-hosted
LoomFlow preview
Visit loomflow.dev
51stars
5forks
10features
2026since

Overview

6 features

Purpose: Building and running high-performance data transformation pipelines without proprietary ETL software.

Inferred · not functionally tested

Audience: data analysts and data engineers

Inferred · not functionally tested

Functions: data_extraction, workflow_automation

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: loomflow.dev · github.com. These links do not verify the individual claims.

LoomFlow is a Data integration & ETL project. Inferred · not functionally tested: It focuses on building and running high-performance data transformation pipelines without proprietary ETL software. Inferred · not functionally tested: It is built as an open-source project for data analysts and data engineers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the web and the command line, and it can be self-hosted.

cardchase builds and maintains LoomFlow, and it first shipped in 2026. The project is developed in the open on GitHub with 51 stars and 50 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Visual DAG builder, polars processing, and column casting.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Visual DAG builder
  • Polars processing
  • Column casting
  • Column renaming
  • Column pruning
  • Column lineage

Topics: Inferred · not functionally tested

Tags
visual-etlpolars-pipelinesdag-workflowsself-hosted-data-tools
AI capabilities
Multimodal
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
google_gemini
Runs on
BrowserCLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 51Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed19 Sep · 15:00 UTC
    cardchase/loomflow seen via GitHub Search (Smart)
    Source: GitHub Search (Smart) · Open

Frequently asked questions about LoomFlow

What is LoomFlow?
Inferred · not functionally tested: LoomFlow focuses on building and running high-performance data transformation pipelines without proprietary ETL software. It is catalogued under Data integration & ETL on PulseGate.
Who should use LoomFlow?
Inferred · not functionally tested: LoomFlow is an open-source project built for data analysts and data engineers.
Does LoomFlow have a free plan?
Basis unknown · not verified: Yes — LoomFlow is open source under the MIT license and free to use.
What platforms does LoomFlow run on?
Basis unknown · not verified: LoomFlow runs on the web and the command line. It can also be self-hosted.
Is LoomFlow still active?
PulseGate's liveness check found it on 19 Sep 2026. Its GitHub repository shows 50 commits in the last 90 days.
Who develops LoomFlow?
LoomFlow is developed by cardchase.
When did LoomFlow launch?
LoomFlow first shipped in 2026.
Is LoomFlow open source?
Basis unknown · not verified: Yes — LoomFlow is open source under the MIT license, developed on GitHub.

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