Downloads728.0K/30d
Tracked on PyPI
ML and LLM observability platform for monitoring and evaluation
AI InfrastructureFounded 2020Ranked #62 of 265 in Developer Adoption
Latest metrics
Downloads728.0K/30d
Tracked on PyPI
Projects using this12
Projects depending on this on PyPI
GitHub stars9.3K
Main repository stars
Sources PyPI registry · GitHub · public code imports · recent company news·Methodology
Lead signals
Strongest current signal
728.0K/30d
Tracked on PyPI
Supporting signals
Projects depending on this on PyPI
12
Main repository stars
9.3K
GitHub contributors in the last 30 days
3
Underlying data
Historical charts and technical context
12 months across 5 public signals · 3 repo health signals · code usage across 4 repos
Maintenance signals from the main open-source repository.
Public repositories and source files importing packages tied to Arize AI.
Reference
Background and reference details
Founded 2020 · Series B ($61M) · 1 category · 2 tools · 14 pricing snapshots
Arize AI provides an ML observability platform that helps data scientists and ML engineers monitor, evaluate, and troubleshoot machine learning models and large language models (LLMs) in production. By offering tools for drift detection, performance monitoring, and root cause analysis, Arize ensures the reliability and ethical deployment of AI systems, preventing costly model failures and maintaining model integrity. This positions them as a critical infrastructure provider in the MLOps ecosystem.
Raised $61M total. DAI rank #24 of 46 in AI Infrastructure suggests funding has not translated into top-tier public developer adoption relative to direct peers.
TCV
Battery Ventures
Foundation Capital
ML and LLM observability platform for monitoring and evaluation
An end-to-end ML observability platform for monitoring, evaluating, and troubleshooting machine learning models and LLMs in production, ensuring reliability and performance.
Public pricing snapshots collected for Arize AI
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Raw history across the tracked public signals for Arize AI.
Select signals to compare
Compare weekly public signals for Arize AI. 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 | PyPI Downloads | GitHub contributors | Public repos importing this |
|---|---|---|---|
| Mar 20, 2026 | 161.0K | 2 | 4 |
| Mar 27, 2026 | 171.4K | 1 | 4 |
| Apr 3, 2026 | 168.6K | 4 | 4 |
| Apr 10, 2026 | 166.4K | 0 | 4 |
| Apr 17, 2026 | 121.7K | 6 | 4 |
| Apr 18, 2026 | 28.6K | 3 | 4 |