Strongest current signal
Package downloads
2.0M/30d
Across npm and PyPI
▼ -11%
Open-source search engine with typo tolerance and AI-powered ranking
Evidence spans packages, GitHub, developer discussion, code adoption, and distribution.
Evidence
Package demand leads here, with downstream usage and discussion filling in the picture.
Strongest current signal
2.0M/30d
Across npm and PyPI
246
Known dependents across npm and PyPI
57.1K
Main repository stars
2/30d
Ranked #8 in category discussion
Summary
Meilisearch shows both package demand and downstream use: 2.0M package downloads in the last 30 days and 1.1K 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 Meilisearch 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 Meilisearch.
Background and reference details
background, categories, funding, tools, and pricing history stay collapsed until you need them.
Meilisearch develops an open-source, lightning-fast search engine designed for developers, featuring typo-tolerance and AI-powered ranking. It provides a highly relevant and customizable search experience, enabling applications to deliver instant and accurate results. Its focus on speed, relevance, and developer-friendliness positions it as a key player in the AI search ecosystem, offering an alternative to traditional search solutions.
Raised $22M total - DAI rank #40 suggests moderate developer adoption relative to funding.
Felicis
CRV
LocalGlobe, Seedcamp
0 npm · 23K PyPI
Open-source search engine with typo tolerance and AI-powered ranking
Meilisearch pricing changes tracked over time
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Meilisearch
Meilisearch: npm Downloads up 49% (153.3K to 228.6K). PyPI Downloads down 88% (190.6K to 23.0K). GitHub Stars up 1% (56.4K to 57.1K).
| Date | npm Downloads | PyPI Downloads | GitHub Stars |
|---|---|---|---|
| Mar 20, 2026 | 153.3K | 190.6K | 56.4K |
| Mar 27, 2026 | 343.4K | 199.7K | - |
| Apr 3, 2026 | 376.1K | 131.0K | 56.9K |
| Apr 10, 2026 | 228.6K | 100.3K | 57.0K |
| Apr 11, 2026 | 0 | 23.0K | 57.1K |