facebookresearch/hiplot
HiPlot makes understanding high dimensional data easy observed · 2026-10-14
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-22. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2539
- days_rel: n/a
- days_push: 1015
- n_releases_24m: 0
Adoption not part of the score
2798 stars · 148 forks observed · 2026-10-14
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
HiPlot is a lightweight interactive visualization library from Facebook Research for exploring high-dimensional data using parallel coordinates plots and other graphical views. It works as a Python library in Jupyter notebooks, a web server, a Streamlit component, and a CLI that renders standalone HTML.
Use cases
- visualize hyperparameter sweep results to find which parameters affect the metric
- explore correlations in high-dimensional CSV data interactively
- display experiment data in a jupyter notebook
- render standalone HTML reports of experiment data from the command line
- add interactive parallel plots to a streamlit app
- compare multiple machine learning experiments side by side
When to choose
- you need to analyze hyperparameter tuning or sweep results
- you want interactive parallel coordinates plots in notebooks or a web server
- you work with tabular experiment data in Python and need quick visual exploration
When to avoid
- you need publication-quality static statistical charts
- you need general-purpose dashboards or BI-style visualizations
- your data is not tabular/experimental in nature
Facets
library · maturity maintenance
data-visualization web-framework cli data-visualization machine-learning data-science python cli cross-platform parallel-coordinates interactive-plots hyperparameter-analysis jupyter streamlit high-dimensional-data web-server
3 sources
- readme: https://github.com/facebookresearch/hiplot · fetched 2026-10-14 · 732b9a8f9dde
- homepage: https://facebookresearch.github.io/hiplot/ · fetched 2026-08-29 · 67bb2632189e
- registry_npm: https://registry.npmjs.org/hiplot · fetched 2026-08-29 · c0ec91b1afbc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| facebookresearch/hiplot | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="facebookresearch/hiplot")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem