Downloads628.6K/30d
Across npm and PyPI
ML model serving platform with GPU infrastructure for inference
AI InfrastructureFounded 2019Ranked #72 of 265 in Developer Adoption
Latest metrics
Downloads628.6K/30d
Across npm and PyPI
Projects using this8
Projects depending on this across software registries
GitHub stars1.1K
Main repository stars
Sources npm and PyPI registries · GitHub · public code imports · developer discussion · recent company news·Methodology
Lead signals
Strongest current signal
628.6K/30d
Across npm and PyPI
Supporting signals
Projects depending on this across software registries
8
Main repository stars
1.1K
Ranked #33 in category discussion
3/30d
Underlying data
Historical charts and technical context
12 months across 8 public signals · 3 repo health signals · code usage across 5 repos
Maintenance signals from the main open-source repository.
Public repositories and source files importing packages tied to Baseten.
Reference
Background and reference details
Founded 2019 · Series B ($60M) · 1 category · 1 tool · 14 pricing snapshots
Baseten provides a comprehensive platform for machine learning engineers to deploy, serve, and scale their ML models in production. It offers serverless infrastructure, including GPU access, and tools for building user interfaces around these models, streamlining the development of ML-powered applications.
Raised $60M total. DAI rank #27 of 46 in AI Infrastructure suggests funding has not translated into top-tier public developer adoption relative to direct peers.
IVP, Spark Capital
Glade Brook Capital Partners
Glade Brook Capital Partners
ML model serving platform with GPU infrastructure for inference
Public pricing snapshots collected for Baseten
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Raw history across the tracked public signals for Baseten.
Select signals to compare
Compare weekly public signals for Baseten. Each chip adds or removes one line from the chart.
Showing % change from the start of the selected period because the selected signals live on very different scales.
| Date | npm Downloads | PyPI Downloads | Public repos importing this |
|---|---|---|---|
| Mar 20, 2026 | 6.9K | 124.5K | 5 |
| Mar 27, 2026 | 17.8K | 145.5K | 5 |
| Apr 3, 2026 | 25.7K | 124.3K | 5 |
| Apr 10, 2026 | 20.0K | 103.0K | 5 |
| Apr 17, 2026 | 3.8K | 108.1K | 5 |
| Apr 18, 2026 | 1.1K | 22.6K | 5 |