Observability & MonitoringFacets
Visualizations for understanding and analyzing machine learning datasets.
- Status
- UnmaintainedGitHub repository has been archived.
- Last checked
- Checked · Oct 8, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Facets provides visual tools to understand and analyze ML datasets. It helps developers and data scientists gain insights into their data distributions, identify anomalies, and improve model performance through better data understanding.
Facets stands out as an open-source, interactive tool specifically designed to provide deep insights into machine learning datasets through visualizations and comparisons.
When it fits — and when it doesn’t
A good fit for
Data scientists who need detailed visual insights into their ML datasets.
Teams working on data preprocessing and feature engineering for ML models.
Look elsewhere if
Projects requiring real-time streaming analytics or visualization.
Users looking for a fully managed cloud service for dataset analysis.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Performance issues with large datasets
Visualization of datasets exceeding 10,000 rows becomes sluggish and unresponsive in the browser
What it does well
Interactive data exploration tools for ML datasets.
Visualization of dataset distributions and anomalies.
Comparison between different datasets or slices within a dataset.
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Facets
Setup steps, common gotchas and what to check after 30 days.