Strongest current signal
Package downloads
52.2M/30d
Across npm and PyPI
▲ +51%
Enterprise-focused LLM company. Strong in embeddings and RAG.
Best current coverage: 52.2M downloads/30d, 848 dependents, and 1.4K public repos.
Lead signals
Package pull and public code usage both show up clearly for Cohere.
Strongest current signal
52.2M/30d
Across npm and PyPI
848
Known dependents across npm and PyPI
385
Main repository stars
24/30d
Ranked #6 in category discussion
Research Brief
No recent Research Brief centers Cohere yet. Start with the latest market reporting, then return here for the stored company signals on this page.
Browse Research Briefs →Reading
package pull and existing public code are the clearest current signals for Cohere.
Package pull
52.2M/30d
Tracked package pull across npm and PyPI
Existing public code
1.4K
Public repositories importing tracked packages
Downstream usage
848
Known dependent packages across both registries
GitHub attention
385
Main repository stars
Coverage includes npm and PyPI registries, GitHub, public code import detection, developer discussion, and recent company news where available. As of April 13, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to Cohere.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Cohere builds LLMs for enterprise. Strong in embeddings, search, and RAG applications. Co-founder Aidan Gomez co-authored the Transformer paper. Raised $270M Series C.
Raised $1.5B total - DAI rank #17 (top 6%) suggests strong developer adoption relative to funding.
PSP Investments
Thrive Capital
Tiger Global
Index Ventures
32K npm · 966K PyPI(50% of company total)
Enables the development of robust conversational AI experiences and chatbots for enterprise use.
32K npm · 966K PyPI(50% of company total)
Enterprise-focused LLM company. Strong in embeddings and RAG.
A powerful large language model designed for a wide range of enterprise applications and business use cases.
Generates high-quality vector embeddings for text, enabling advanced search, retrieval-augmented generation (RAG), and semantic understanding.
Optimizes search results and improves the relevance of retrieved documents for RAG applications by reordering them.
Public pricing snapshots collected for Cohere
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Cohere
Cohere: npm Downloads down 91% (358.4K to 31.8K). PyPI Downloads down 83% (5.6M to 966.1K). GitHub Stars up 1% (380 to 385).
| Date | npm Downloads | PyPI Downloads | GitHub Stars |
|---|---|---|---|
| Mar 15, 2026 | 358.4K | 5.6M | 380 |
| Mar 19, 2026 | - | - | - |
| Mar 22, 2026 | 260.0K | 5.3M | 380 |
| Mar 26, 2026 | - | - | - |
| Mar 29, 2026 | 404.3K | 7.1M | 383 |
| Apr 2, 2026 | - | - | - |
| Apr 5, 2026 | 378.7K | 7.6M | 385 |
| Apr 9, 2026 | - | - | - |
| Apr 10, 2026 | - | - | - |
| Apr 12, 2026 | 239.5K | 4.5M | 385 |
| Apr 13, 2026 | 31.8K | 966.1K | 385 |