What is tfjs built with?
tfjs is a TypeScript repo built with werkzeug, React, react-native, and Preact. It stores its data in h5py, uses AI through jaxlib, Keras, ml-dtypes, opt-einsum, optax, and 7 more, makes its content with markdown, markupsafe, and jpeg-js, is tested with Jasmine, karma-chrome-launcher, karma-jasmine, karma-jasmine-html-reporter, karma-typescript, and 1 more, and uses tensorboard-data-server and @react-native-async-storage/async-storage. It has 383,524 written lines, with 72 test files.
Read on November 6, 2026, at commit 7f5309f. Read it as markdown
Frontend
Interface 8
vega-embed6 files
- expo-gl3 files
d3-selection1 file
- expo-camera1 file
vega-lite1 file
prompt-toolkit
- Rich
- progress1 file
Styles 1
- glamor5 files
Backend
Data 3
h5py3 files
@react-native-async-storage/async-storage1 file
- tensorboard-data-server
AI 12
- TensorFlow12 files
tf-keras3 files
flax1 file
jax1 file
- tensorflow-hub1 file
- Keras
- tensorflow-io-gcs-filesystem
- jaxlib
- ml-dtypes
- opt-einsum
- optax
- orbax-checkpoint
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