Strongest current signal
Package downloads
9.7M/30d
Across npm and PyPI
▼ -7%
Enterprise AI evaluation and observability
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
9.7M/30d
Across npm and PyPI
74
Known dependents across npm and PyPI
392
Main repository stars
4/30d
Ranked #31 in category discussion
Summary
Braintrust shows both package demand and downstream use: 9.7M package downloads in the last 30 days and 1 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 Braintrust 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 Braintrust.
Background and reference details
background, categories, funding, tools, and pricing history stay collapsed until you need them.
Braintrust provides an enterprise AI platform designed for the evaluation, observability, and improvement of large language model (LLM) applications. It enables teams to monitor LLMs in production, gather human feedback, utilize automated metrics, and experiment with prompt engineering to build better AI solutions faster.
Raised $124M total - DAI rank #35 suggests moderate developer adoption relative to funding.
Coatue, Tiger Global
ACME, Blockchange
True Ventures, Homebrew
0 npm · 154K PyPI(50% of company total)
Enterprise AI evaluation and observability
0 npm · 154K PyPI(50% of company total)
A comprehensive platform for evaluating, monitoring, and improving large language model (LLM) applications with human-in-the-loop feedback, automated metrics, and prompt engineering tools.
Braintrust pricing changes tracked over time
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Braintrust
Braintrust: npm Downloads up 83% (269.8K to 492.8K). PyPI Downloads down 79% (739.4K to 154.0K). GitHub Stars up 2% (386 to 392).
| Date | npm Downloads | PyPI Downloads | GitHub Stars |
|---|---|---|---|
| Mar 20, 2026 | 269.8K | 739.4K | 386 |
| Mar 27, 2026 | 682.2K | 813.5K | - |
| Apr 3, 2026 | 735.5K | 727.5K | 391 |
| Apr 10, 2026 | 492.8K | 575.9K | 392 |
| Apr 11, 2026 | 0 | 154.0K | 392 |