Strongest current signal
Package downloads
155.9K/30d
Tracked on PyPI
▲ +17%
Data labeling and AI infrastructure platform
Evidence spans packages, GitHub, developer discussion, and code adoption.
Evidence
Package demand leads here, with downstream usage and discussion filling in the picture.
Strongest current signal
155.9K/30d
Tracked on PyPI
5
Known dependents on PyPI
823
Main repository stars
24/30d
Ranked #17 in category discussion
Summary
Scale AI shows both package demand and downstream use: 155.9K package downloads in the last 30 days and 5 public repositories importing its packages.
This summary draws from package registries, GitHub, developer discussion, and AI-Buzz collection where it adds real signal. As of April 11, 2026. Methodology
Research Brief
No recent Research Brief centers Scale AI yet. Start with the latest market reporting, then return here for the source-level evidence on this page.
Browse Research Briefs →Sustainability and maintenance signals from the primary public repository.
Additional evidence
AI-Buzz collects a small set of signals that do not show up cleanly in package and repository feeds.
Public repositories and source files importing packages tied to Scale AI.
Background and reference details
background, categories, funding, tools, and pricing history 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 #114 suggests moderate developer adoption relative to funding.
Accel
Greenoaks Capital, Dragoneer Investment Group
Tiger Global
Founders Fund
Index Ventures
Accel
4K PyPI(50% of company total)
Data labeling and AI infrastructure platform
4K 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.
Scale AI pricing changes tracked over time
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Scale AI
| Date | PyPI Downloads | GitHub Stars | HN Mentions |
|---|---|---|---|
| Mar 14, 2026 | - | - | - |
| Mar 20, 2026 | 17.1K | 821 | 4 |
| Mar 21, 2026 | - | - | - |
| Mar 27, 2026 | 25.0K | - | 5 |
| Mar 28, 2026 | - | - | - |
| Apr 3, 2026 | 22.7K | 823 | 6 |
| Apr 4, 2026 | - | - | - |
| Apr 5, 2026 | - | - | - |
| Apr 10, 2026 | 14.8K | 823 | 4 |
| Apr 11, 2026 | 4.4K | 823 | 0 |