Jupyter
Livebook
Nodebook
Weblab.ai
RunKit
iodide
Blabr
JavaScript notebook tool for experimenting in JavaScript. Runs in the browser without a backend.

Tinkerwell
PsySH
A free, Laravel-focused desktop scratchpad for running Tinker snippets and Artisan commands against real apps — with SQL query capture, side-by-side benchmarking, and production safety

Which is more popular?
Based on our record, Scribbler JavaScript Notebook seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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What each product offers, as listed by its team.

No features have been listed yet.
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Scribbler JavaScript Notebook and LaraBench.
LaraBench's answer:
LaraBench is a free, Laravel-first desktop scratchpad focused on what a run actually did - not just whether it ran. It captures every SQL query a snippet fired (with bindings and timing), renders clean structured output instead of raw dd() dumps, benchmarks two Eloquent approaches side by side, and makes production work deliberate with write detection, dry-run mode, and confirmations. It runs against real app context: local Herd, Valet, Sail, and Laradock projects, plus SSH and Docker targets.
LaraBench's answer:
It's free - Tinkerwell is paid - and it's built specifically for Laravel rather than generic PHP or many frameworks. That focus lets it go deeper where it counts: SQL query capture, benchmark mode, and production safety guardrails are all core and free. If your day involves Tinker, checking queries, and touching real databases, LaraBench is a free daily driver that helps you understand and de-risk every run.
LaraBench's answer:
Working Laravel developers who live in Tinker - debugging data, inspecting queries, testing Eloquent, and running Artisan commands against local, staging, and production apps. Especially those who want query visibility and production safety without paying for a REPL.
LaraBench's answer:
LaraBench started as a free, Laravel-focused alternative to Tinkerwell, built around one idea: a scratchpad should help you understand what your code did - the queries, the timing, the side effects - not just print a result. It grew into a safety-conscious daily driver for running snippets and Artisan commands against real Laravel apps.
LaraBench's answer:
Desktop app: Electron + TypeScript, Monaco editor with the Intelephense PHP language server (LSP) for Laravel-aware autocomplete, bundled with esbuild, tested with Playwright, packaged via electron-builder. It executes against Laravel apps through Tinker and Artisan. Companion website/account backend: Laravel 13, Inertia, Vue 3, TypeScript, Tailwind CSS 4, and Laravel Cashier with Stripe.
Share your experience with using Scribbler JavaScript Notebook and LaraBench. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Using its API, you can run simulations for heat conduction, front propagation, or even solve a general-form partial differential equation. And you can do all of this directly in your browser (for web apps), in a Node.js environment, or... - Source: dev.to / 12 months ago
Tracking LaraBench since Jul 2026.
When comparing Scribbler JavaScript Notebook and LaraBench, you can also consider the following products.

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
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The magical Laravel tinker app for macOS
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Automate code & data workflows with interactive Elixir notebooks
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A runtime developer console, interactive debugger and REPL for PHP.
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Browser-based REPL notebook supporting many programming languages.
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Weblab lets you write and evaluate Javascript in an interactive notebook. It gives you a great environment to build Machine learning and Data Science applications.
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