Strongest current signal
Package downloads
688.2K/30d
Tracked on PyPI
▼ -18%
Data-centric AI platform for training data
Best current coverage: 688.2K downloads/30d, 13 dependents, and 21 public repos.
Lead signals
Package pull and public code usage both show up clearly for Labelbox.
Strongest current signal
688.2K/30d
Tracked on PyPI
13
Known dependents on PyPI
147
Main repository stars
1/30d
Ranked #50 in category discussion
Research Brief
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package pull and existing public code are the clearest current signals for Labelbox.
Package pull
688.2K/30d
Tracked package pull on PyPI
Existing public code
21
Public repositories importing tracked packages
Downstream usage
13
Known dependents on PyPI
GitHub attention
147
Main repository stars
Coverage includes npm and PyPI registries, GitHub, public code import detection, developer discussion, and recent company news where available. As of April 13, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to Labelbox.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Labelbox provides a data-centric AI platform that helps machine learning teams manage, curate, and label unstructured data to build and improve AI models. It streamlines the entire training data pipeline, from data annotation to model debugging, enabling faster and more accurate AI development. The platform is crucial for organizations looking to operationalize their AI initiatives by ensuring high-quality data powers their models.
Raised $189M total - DAI rank #96 suggests moderate developer adoption relative to funding.
SoftBank Vision Fund 2
B Capital Group
Andreessen Horowitz
Gradient Ventures
Kleiner Perkins
4K PyPI(50% of company total)
Data-centric AI platform for training data
4K PyPI(50% of company total)
AI-powered labeling tools for images, video, text, and other data types to create high-quality training datasets.
A data management and curation solution for unstructured data, enabling teams to discover, organize, and prepare data for AI training.
Tools for monitoring, debugging, and improving the performance of machine learning models by analyzing data and model predictions.
Public pricing snapshots collected for Labelbox
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Labelbox
Labelbox: PyPI Downloads down 96% (105.0K to 4.1K). GitHub Stars up 2% (144 to 147). HN Mentions remained flat.
| Date | PyPI Downloads | GitHub Stars | HN Mentions |
|---|---|---|---|
| Mar 15, 2026 | 105.0K | 144 | 1 |
| Mar 22, 2026 | 100.6K | 144 | 0 |
| Mar 29, 2026 | 99.1K | 147 | 0 |
| Apr 5, 2026 | 96.4K | 147 | 0 |
| Apr 12, 2026 | 59.5K | 147 | 0 |
| Apr 13, 2026 | 4.1K | 147 | 0 |