all-the-public-replicate-models

Metadata for all[^1] the public models on Replicate, bundled up into an npm package.

This package also includes historical daily run counts for each model, which are updated daily.

Installation

``sh npm install all-the-public-replicate-models`

`Usage (as a library)`

Full-bodied usage (all the metadata, ~17MB)

`js import models from 'all-the-public-replicate-models'

console.log(models)`

Lite usage (just the basic metadata, ~375K):

`js import models from 'all-the-public-replicate-models/lite'

console.log(models)`

Find the top 10 models by run count:

`js import models from 'all-the-public-replicate-models' import {chain} from 'lodash-es'

const mostRun = chain(models).orderBy('run_count', 'desc').take(10).value() console.log({mostRun})`

`Stats`

This package also includes historical daily run counts for each model, which are updated daily.

`js import stats from 'all-the-public-replicate-models/stats'

console.log(stats["black-forest-labs/flux-schnell"].slice(-5))

/* [ { date: '2025-01-03', totalRuns: 176951005, dailyRuns: 1071498 }, { date: '2025-01-04', totalRuns: 178025758, dailyRuns: 1074753 }, { date: '2025-01-05', totalRuns: 179119496, dailyRuns: 1093738 }, { date: '2025-01-06', totalRuns: 180272877, dailyRuns: 1153381 }, { date: '2025-01-07', totalRuns: 181445133, dailyRuns: 1172256 } ] */`

See example.js for a code snippet that uses the stats.

`Usage (as a CLI)`

The CLI dumps the model metadata to standard output as a big JSON object:

`command $ npx all-the-public-replicate-models`

The output will be:

`[ {...}, {...}, {...}, ]`

You can use jq to filter the output. Here's an example that finds all the whisper models and sorts them by run count:

- https://replicate.com/openai/whisper 3790120 - https://replicate.com/m1guelpf/whisper-subtitles 38020 - https://replicate.com/hnesk/whisper-wordtimestamps 28889 - https://replicate.com/alqasemy2020/whisper-jax 20296 - https://replicate.com/wglodell/cog-whisperx-withprompt 19326 - https://replicate.com/daanelson/whisperx 15528 ...

Or you can dump all the model data to a file:

`command npx all-the-public-replicate-models > models.json`

Note: the repo stores models.json.gz to keep git sizes down. The published npm package still ships models.json`.

[^1]: Technically it's not _all_ the models, but every model that is public, has at least one published version, and has at least one example prediction.

all-the-public-replicate-models

Metadata for all[^1] the public models on Replicate, bundled up into an npm package.

This package also includes historical daily run counts for each model, which are updated daily.

Installation

``sh npm install all-the-public-replicate-models`

`Usage (as a library)`

Full-bodied usage (all the metadata, ~17MB)

`js import models from 'all-the-public-replicate-models'

console.log(models)`

Lite usage (just the basic metadata, ~375K):

`js import models from 'all-the-public-replicate-models/lite'

console.log(models)`

Find the top 10 models by run count:

`js import models from 'all-the-public-replicate-models' import {chain} from 'lodash-es'

const mostRun = chain(models).orderBy('run_count', 'desc').take(10).value() console.log({mostRun})`

`Stats`

This package also includes historical daily run counts for each model, which are updated daily.

`js import stats from 'all-the-public-replicate-models/stats'

console.log(stats["black-forest-labs/flux-schnell"].slice(-5))

See example.js for a code snippet that uses the stats.

`Usage (as a CLI)`

The CLI dumps the model metadata to standard output as a big JSON object:

`command $ npx all-the-public-replicate-models`

The output will be:

`[ {...}, {...}, {...}, ]`

You can use jq to filter the output. Here's an example that finds all the whisper models and sorts them by run count:

Or you can dump all the model data to a file:

`command npx all-the-public-replicate-models > models.json`

Note: the repo stores models.json.gz to keep git sizes down. The published npm package still ships models.json`.

[^1]: Technically it's not _all_ the models, but every model that is public, has at least one published version, and has at least one example prediction.