Strongest current signal
Package downloads
1.1M/30d
Tracked on PyPI
Framework for evaluating retrieval augmented generation pipelines
Best current coverage: 1.1M downloads/30d, 131 dependents, and 1 public repos.
Lead signals
Package pull and public code usage both show up clearly for Ragas.
Strongest current signal
1.1M/30d
Tracked on PyPI
131
Known dependents on PyPI
13.4K
Main repository stars
3/30d
Ranked #36 in category discussion
Research Brief
No recent Research Brief centers Ragas 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 Ragas.
Package pull
1.1M/30d
Tracked package pull on PyPI
Existing public code
1
Public repositories importing tracked packages
Downstream usage
131
Known dependents on PyPI
GitHub attention
13.4K
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 Ragas.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Ragas is an open-source framework designed to evaluate Retrieval Augmented Generation (RAG) pipelines. It provides a suite of metrics to assess various aspects of RAG systems, including faithfulness, answer relevance, and context quality, helping developers improve the performance of their AI applications.
Raised $3M total - DAI rank #61 suggests moderate developer adoption relative to funding.
TQ Ventures
21K PyPI
Framework for evaluating retrieval augmented generation pipelines
Historical metrics for Ragas
Ragas: PyPI Downloads down 92% (281.7K to 21.4K). GitHub Stars up 3% (12.9K to 13.4K). HN Mentions up 100% (1 to 2).
| Date | PyPI Downloads | GitHub Stars | HN Mentions |
|---|---|---|---|
| Mar 15, 2026 | 281.7K | 12.9K | 1 |
| Mar 22, 2026 | 284.3K | 12.9K | 0 |
| Mar 29, 2026 | 267.8K | 13.2K | 0 |
| Apr 5, 2026 | 253.0K | 13.3K | 2 |
| Apr 12, 2026 | 170.3K | 13.3K | 0 |
| Apr 13, 2026 | 21.4K | 13.4K | 0 |