Strongest current signal
Package downloads
154.2K/30d
Tracked on PyPI
▲ +23%
Data labeling and AI infrastructure platform
Best current coverage: 154.2K downloads/30d, 5 dependents, and 5 public repos.
Lead signals
Package pull and public code usage both show up clearly for Scale AI.
Strongest current signal
154.2K/30d
Tracked on PyPI
5
Known dependents on PyPI
823
Main repository stars
23/30d
Ranked #15 in category discussion
Research Brief
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package pull and existing public code are the clearest current signals for Scale AI.
Package pull
154.2K/30d
Tracked package pull on PyPI
Existing public code
5
Public repositories importing tracked packages
Downstream usage
5
Known dependents on PyPI
Engineering activity
2
GitHub contributors active in the last 30 days
Coverage includes npm and PyPI registries, GitHub, public code import detection, developer discussion, and recent company news where available. As of April 14, 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 Scale AI.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Scale AI provides a comprehensive platform for data labeling, annotation, and model evaluation, crucial for training and improving AI systems. They enable companies to build, fine-tune, and deploy AI models, particularly in areas like computer vision, NLP, and generative AI, by ensuring high-quality data inputs. Their services are vital for advancing AI development across various industries.
Raised $15.9B total - DAI rank #88 suggests moderate developer adoption relative to funding.
Accel
Greenoaks Capital, Dragoneer Investment Group
Tiger Global
Founders Fund
Index Ventures
Accel
1K PyPI(50% of company total)
Data labeling and AI infrastructure platform
1K PyPI(50% of company total)
An end-to-end platform for data-centric AI development, providing tools for data collection, annotation, and model evaluation.
A platform for building, evaluating, and fine-tuning generative AI models using high-quality, human-annotated data.
A service that uses human-in-the-loop methods to optimize and improve the performance of large language models (LLMs).
A powerful data annotation tool designed for computer vision, natural language processing, and generative AI tasks.
Public pricing snapshots collected for Scale AI
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Scale AI
Scale AI: GitHub Stars up 0% (821 to 823). Contributors remained flat.
| Date | PyPI Downloads | GitHub Stars | Contributors |
|---|---|---|---|
| Mar 16, 2026 | - | 821 | 2 |
| Mar 21, 2026 | - | - | - |
| Mar 22, 2026 | 21.3K | - | - |
| Mar 23, 2026 | - | 821 | 2 |
| Mar 28, 2026 | - | - | - |
| Mar 29, 2026 | 23.4K | - | - |
| Mar 30, 2026 | - | 822 | 1 |
| Apr 4, 2026 | - | - | - |
| Apr 5, 2026 | 21.9K | - | - |
| Apr 6, 2026 | - | 823 | 0 |
| Apr 12, 2026 | 13.7K | - | - |
| Apr 13, 2026 | 1.2K | 823 | 0 |
| Apr 14, 2026 | - | 823 | 2 |