Who is Local Random Forest for?

Local Random Forest is a consumer product built for data scientists, students, ML enthusiasts.

Does Local Random Forest have a free plan?

Yes — Local Random Forest is free to use.

What platforms does Local Random Forest run on?

Local Random Forest runs on the web.

Is Local Random Forest still maintained?

Unverified. Local Random Forest has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to Local Random Forest?

Similar projects tracked by PulseGate include corvus-ai, MFGLib documentation, and probe-research.

Who develops Local Random Forest?

Local Random Forest is developed by jonaraphael.

How long has Local Random Forest been around?

Local Random Forest first shipped in 2022.

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Local Random Forest

Name: Local Random Forest
Author: jonaraphael

github.ioData science & ML workbench

Random Forest Generator is a browser-based tool that enables users to train random forest machine learning models directly from CSV files, with no data uploads or sign-up required. It runs entirely in the browser, making it ideal for privacy-conscious users and quick prototyping.

FreeWeb

Visit github.io

Overview

5 features

Local Random Forest is a Data science & ML workbench project. Allowing users to train and export random forest machine learning models locally without uploading data or installing software. It is built as a consumer product for data scientists, students, ML enthusiasts. Local Random Forest costs nothing to use. It runs on the web.

It is developed by jonaraphael, and it first shipped in 2022. Among its 5 catalogued features are CSV upload, model training, and export model.

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

CSV upload
Model training
Export model
No sign-up
Runs in browser

Built with & integrations

Runs on

Browser

Trust & compliance

Verified signals

HTTPSFree tierStore-verified publisher

Indexing history

What PulseGate has recorded for this listing

Indexed28 Jun · 11:26 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about Local Random Forest

What is Local Random Forest?: Allowing users to train and export random forest machine learning models locally without uploading data or installing software. It is catalogued under Data science & ML workbench on PulseGate.
Who is Local Random Forest for?: Local Random Forest is a consumer product built for data scientists, students, ML enthusiasts.
Does Local Random Forest have a free plan?: Yes — Local Random Forest is free to use.
What platforms does Local Random Forest run on?: Local Random Forest runs on the web.
Is Local Random Forest still maintained?: Unverified. Local Random Forest has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to Local Random Forest?: Similar projects tracked by PulseGate include corvus-ai, MFGLib documentation, and probe-research.corvus-ai MFGLib documentation probe-research
Who develops Local Random Forest?: Local Random Forest is developed by jonaraphael.
How long has Local Random Forest been around?: Local Random Forest first shipped in 2022.

At a glance

Platforms: Web
Languages: English
Built for: data scientists, students, ML enthusiasts
Model: B2C
Solves: Allowing users to train and export random forest machine learning models locally without uploading data or installing software.

Registered as

Firefox Add-ons: ograph-bluesky-poster
Firefox Add-ons: rainbow-toolbar
Firefox Add-ons: shein-product-scraper
Firefox Add-ons: underdog-bestball-overlay

Developer

jonaraphael

Live coverage

Identity confidence: High · 93.8
Indexed: 28 Jun 2026
Lifecycle: Unverified
Last seen: 28 Jun 2026

Identity audit (12)

Slug: local-random-forest-train-on-a-csv-github-io
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 28 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model, checked against the page's own declaration.
Last updated: 30 Jun 2026
Canonical URL: https://jonaraphael.github.io/RandomForestGenerator/RFG.html

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