Strongest current signal
Package downloads
163.1K/30d
Tracked on PyPI
▼ -17%
Open-source platform for building and deploying ML model services
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
163.1K/30d
Tracked on PyPI
32
Known dependents on PyPI
8.6K
Main repository stars
2/30d
Ranked #39 in category discussion
Summary
BentoML shows both package demand and downstream use: 163.1K package downloads in the last 30 days and 499 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 BentoML 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 BentoML.
Background and reference details
background, categories, funding, tools, and pricing history stay collapsed until you need them.
BentoML provides an open-source framework and platform for machine learning engineers to build, ship, and scale AI applications. It simplifies the process of taking ML models from development to production, offering tools for model serving, MLOps, and large language model deployment. The company plays a crucial role in the AI ecosystem by enabling developers to efficiently operationalize their ML models and integrate them into real-world applications.
Raised $9M total - DAI rank #103 suggests moderate developer adoption relative to funding.
DCM
6K PyPI
Open-source platform for building and deploying ML model services
An open platform designed for deploying and operating large language models (LLMs) in production environments.
A platform built on BentoML for MLOps, providing model deployment, monitoring, and management capabilities.
BentoML pricing changes tracked over time
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for BentoML
BentoML: PyPI Downloads down 85% (36.4K to 5.5K). GitHub Stars up 1% (8.5K to 8.6K).
| Date | PyPI Downloads | GitHub Stars | HN Mentions |
|---|---|---|---|
| Mar 20, 2026 | 36.4K | 8.5K | 0 |
| Mar 27, 2026 | 34.9K | - | 0 |
| Apr 3, 2026 | 36.4K | 8.6K | 2 |
| Apr 10, 2026 | 32.4K | 8.6K | 0 |
| Apr 11, 2026 | 5.5K | 8.6K | 0 |