Strongest current signal
Package downloads
249.0K/30d
Tracked on PyPI
▲ +16%
Framework for validating and structuring LLM outputs
Best current coverage: 249.0K downloads/30d, 20 dependents, and 4 public repos.
Lead signals
Guardrails AI has the best coverage in package pull, with downstream usage and engineering activity as support.
Strongest current signal
249.0K/30d
Tracked on PyPI
20
Known dependents on PyPI
6.7K
Main repository stars
4
Public repositories importing tracked packages
Research Brief
No recent Research Brief centers Guardrails AI 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 downstream usage are the clearest current signals for Guardrails AI.
Package pull
249.0K/30d
Tracked package pull on PyPI
Downstream usage
20
Known dependents on PyPI
Existing public code
4
Public repositories importing tracked packages
GitHub attention
6.7K
Main repository stars
Coverage includes npm and PyPI registries, GitHub, public code import detection, and recent company news where available. As of April 14, 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 Guardrails AI.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Guardrails AI develops an open-source framework that helps developers ensure the reliability and safety of large language model outputs. It provides tools for validating, structuring, and correcting LLM responses, making AI applications more robust and predictable. The company plays a crucial role in improving the trustworthiness and control over generative AI systems.
Raised $8M total - DAI rank #96 suggests moderate developer adoption relative to funding.
Zetta Venture Partners
5K PyPI
Framework for validating and structuring LLM outputs
Public pricing snapshots collected for Guardrails AI
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Guardrails AI
Guardrails AI: GitHub Stars up 2% (6.5K to 6.7K). Reddit Mentions down 50% (2 to 1).
| Date | PyPI Downloads | GitHub Stars | Reddit Mentions |
|---|---|---|---|
| Mar 16, 2026 | - | 6.5K | 2 |
| Mar 22, 2026 | 76.5K | - | - |
| Mar 23, 2026 | - | 6.5K | 1 |
| Mar 29, 2026 | 59.9K | - | - |
| Mar 30, 2026 | - | 6.6K | 2 |
| Apr 5, 2026 | 51.7K | - | - |
| Apr 6, 2026 | - | 6.6K | 2 |
| Apr 12, 2026 | 32.7K | - | - |
| Apr 13, 2026 | 4.6K | 6.7K | 3 |
| Apr 14, 2026 | - | 6.7K | 1 |