# Renumics/spotlight

Interactively explore unstructured datasets from your dataframe.

Repository: https://github.com/Renumics/spotlight
Canonical: https://ross.abutalabs.com/products/renumics-spotlight
Homepage: https://renumics.com
Language: TypeScript
License: MIT
License Family: permissive
Topics: data-centric-ai, data-curation, data-visualization, computer-vision, machine-learning, audio, exploratory-data-analysis, images, timeseries, video, meshes, unstructured-data, hacktoberfest
Last push: 2026-09-02T19:42:22+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 84, longevity 93
- inputs: {"age_days": 1312, "days_push": 0, "days_rel": 30, "gap_med": 41.0, "n_releases_24m": 11}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1272, forks 92 (observed 2026-09-03T02:15:07.208875+00:00)

## What it is
Renumics Spotlight is an open-source tool for interactively exploring unstructured datasets (images, audio, text, video, time-series, meshes) directly from pandas dataframes. It provides interactive visualizations and enrichments like embeddings and model predictions to identify critical data clusters and issues.

## Use cases
- explore image classification datasets interactively
- find mislabeled samples in audio datasets
- visualize embeddings of unstructured data
- curate and clean machine learning training data
- inspect model predictions and uncertainties
- browse video or time-series datasets from a dataframe

## When to choose
- you work with unstructured ML datasets like images, audio, or video
- you want interactive dataset exploration from pandas dataframes
- you need to find data issues, outliers, or problematic slices before training

## When to avoid
- you only work with purely tabular data
- you need automated data pipelines rather than interactive exploration
- you need a fully hosted enterprise data platform

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, machine-learning, computer-vision, audio-processing, video-processing, nlp, data-science
- domain: data-science, data-visualization, machine-learning, computer-vision
- platform: python, cross-platform
- tags: exploratory-data-analysis, unstructured-data, data-curation, data-centric-ai, embeddings, dataframe, dataset-inspection, audio, video, web-server

## Member repositories
- Renumics/spotlight (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:07.208875+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:03:15.477793+00:00, confidence not recorded.
  - readme: https://github.com/Renumics/spotlight (fetched 2026-09-03T02:15:07.208875+00:00, sha 33961fe5f223)
  - homepage: https://renumics.com (fetched 2026-08-29T12:14:40.999772+00:00, sha 8ab4363a52ef)
  - site_page: https://renumics.com/company/about (fetched 2026-08-29T12:14:41.009120+00:00, sha 9ba1b1e0e6b0)
  - site_page: https://renumics.com/company/contact (fetched 2026-08-29T12:14:41.010925+00:00, sha 8c11adb3a800)
- Data as of 2026-08-30T08:39:29.467469+00:00.