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  1. TESIGN / RADAR
  2. 2026.09.15
  3. Forma

Forma

ONNX graph editor for ML engineers

WHO USES ITML engineer · Developer converting models · Deep-learning learner

Use in the browser

Drop an .onnx file in the browser, see the graph, edit a node and export — no Python.

★ 3▲ 2 HN

3 stars · checked on GitHub GitHub check 30 h late · no 7-day star increase observed (GH Archive) (as of ) · 2 Show HN points observed

NEW 1h OLD WHEN SEEN

Forma editor: a sample ONNX graph on the canvas with the Conv node selected and its editable attributes, tensor shapes and parameter count in the Layer Inspector.
Forma editor: a sample ONNX graph on the canvas with the Conv node selected and its editable attributes, tensor shapes and parameter count in the Layer Inspector.
Forma editor: a sample ONNX graph on the canvas with the Conv node selected and its editable attributes, tensor shapes and parameter count in the Layer Inspector.

TESIGN TAKE

The point is that graph editing and validation finish in the browser without your model ever being uploaded.

TRY

AT A GLANCE

USAGE
Unconfirmed — check before use.
LANGUAGE
TypeScript
PLATFORM
web
ACTIVITY
last commit 14 days ago () · latest release v2.5.0 () · 28 releases
COMMUNITY
1 contributor · 0 open issues (incl. PRs) · made by: an individual
SOURCES
Show HN
FIRST SEEN
CATEGORY
DEV TOOLS · AI

A summary, not legal advice.

WHY IT MATTERS

Most ONNX tooling stops at looking: you can read the graph, but changing one attribute sends you back to Python scripts. Forma renders the full computation graph when you drop an .onnx or .tflite file on the canvas, lets you click a node to edit attributes or rewire connections, and exports the result as a valid ONNX file. Everything runs in the browser via WebAssembly, so the model never leaves your machine; only the edit sequence is shared, as a link carrying the original file's SHA-256 fingerprint.

BUILD FROM THIS

  • Pre-deployment surgery: turn a fixed batch size into a symbolic `batch` dimension or rename tensors
  • A validation run that feeds the original and edited model identical inputs and compares outputs
  • A minimal-repro ONNX file cut from just the nodes that misbehave (Extract Repro)
  • A side-by-side text report comparing two model files' structure, attributes and latency

WHO IT'S FOR

ML engineer
fixes ONNX inputs, outputs and attributes right before deployment, without Python
Developer converting models
compares two files' structure before and after conversion
Deep-learning learner
clicks through a public model's layers and parameter counts

START IN 5 MINUTES

# 1. Open forma-ml.vercel.app
# 2. Drag any .onnx model file onto the canvas
# 3. Click any node to inspect it in the Layer Inspector panel
# 4. Make an edit and choose Share Edits to copy a verified edit link
# Run locally (Node.js 18+):
$ git clone https://github.com/Hussain004/Forma.git
$ cd Forma
$ npm install
$ npm run dev
# → open http://localhost:5173

CAVEATS

  • License unconfirmed — the README badge and the Show HN post say MIT, but the repository has no LICENSE file and GitHub metadata shows none
  • ONNX and TFLite only; TFLite is read-only (no attribute editing, benchmark or Export Modified); convert .pt or .safetensors to ONNX first
  • Desktop-first — a gate appears below 900px screen width
  • Share links never contain the model, so the recipient needs the exact original file; INT8 sizes are analytical estimates
  • No pricing stated; the web app opens without payment and the README links a donation page · shown on HN 2026-09-13 · the README lists releases up to v2.5.0 and 406 tests

RECEIPT

FIRST SEEN
AT SOURCE
KEPT
CREATED → FIRST SEEN
1h
WHEN FIRST SEEN
3 ★
SOURCES
Show HN

The same facts in machine-readable form — View as Markdown · JSON

SIMILAR TOOLS

Up to five from DEV TOOLS by ★ total: edited entries first, then repository cards; this entry is highlighted. Drawn from the same stored snapshot as the rankings — a comparison, not a recommendation.

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Spec Kit docs landing page — the headline 'Build with a spec, fix a bug, or assess an idea' and the uv tool install specify-cli command
Spec KitSpec-first process for coding agents★ 137k▲ +560MITpermissivecli · windows · macos · linux
Forma editor: a sample ONNX graph on the canvas with the Conv node selected and its editable attributes, tensor shapes and parameter count in the Layer Inspector.
FormaONNX graph editor for ML engineersTHIS ENTRY★ 3—Licence unconfirmedunconfirmedweb

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  1. Repository created
  2. Show HN post ↗
  3. FIRST SEEN BY TESIGN
  4. Published on TESIGN

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