In the Crest catalog
Effect-TS/effect
Build production-ready applications in TypeScript
- Stars
- 16.4K
- Forks
- 796
- Language
- TypeScript
- Last push
- 22d ago
- Last release
- 23d ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · npm
@effect/ai-anthropic
npm · v4.0.1 · MIT
An Anthropic provider integration for Effect AI SDK
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
npm install @effect/ai-anthropicAdoption
- Downloads (30 days)
- 285.3K
- Observeddownloads / 30 days
- Popularity
- Lower half on npm
- Derived30th percentile within npm
- Dependents
- Collectinghistory
- Collecting
- Maintenance
- 0.99
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 147
- 240 versions over its life
Growth by period
Derived by Crest of Tech from two observations of npm’s own figure, a period apart. Nothing is stored or estimated: without an observation near the period’s start, the period is still collecting.
- 7 days
- +19.3% · 7d
- Derived+46.1K downloads / 30 days, SEP 29 → OCT 6
- 30 days
- +71.9% · 30d
- Derived+119.3K downloads / 30 days, SEP 6 → OCT 6
- 90 days
- +320.2% · 90d
- Derived+217.4K downloads / 30 days, JUL 6 → OCT 6
- 1 year
- +3805.6% · 1y
- Derived+278K downloads / 30 days, OCT 6 → OCT 6
Adoption history
Adoption historydownloads / 30 days · 31 observations
Table of observations (31)
| Day | downloads / 30 days | Dependents |
|---|---|---|
| OCT 6, 2026 | 285,264 | Not observed |
| OCT 5, 2026 | 285,264 | Not observed |
| OCT 4, 2026 | 277,578 | Not observed |
| OCT 3, 2026 | 276,615 | Not observed |
| OCT 2, 2026 | 261,893 | Not observed |
| OCT 1, 2026 | 250,159 | Not observed |
| SEP 30, 2026 | 243,945 | Not observed |
| SEP 29, 2026 | 239,131 | Not observed |
| SEP 28, 2026 | 229,866 | Not observed |
| SEP 27, 2026 | 221,054 | Not observed |
| SEP 26, 2026 | 220,375 | Not observed |
| SEP 25, 2026 | 218,109 | Not observed |
| SEP 24, 2026 | 208,245 | Not observed |
| SEP 23, 2026 | 199,763 | Not observed |
| SEP 22, 2026 | 197,615 | Not observed |
| SEP 21, 2026 | 190,300 | Not observed |
| SEP 20, 2026 | 185,597 | Not observed |
| SEP 19, 2026 | 185,077 | Not observed |
| SEP 18, 2026 | 186,361 | Not observed |
| SEP 17, 2026 | 184,291 | Not observed |
| SEP 16, 2026 | 180,873 | Not observed |
| SEP 15, 2026 | 177,138 | Not observed |
| SEP 14, 2026 | 179,900 | Not observed |
| SEP 13, 2026 | 177,499 | Not observed |
| SEP 12, 2026 | 172,753 | Not observed |
| SEP 11, 2026 | 170,651 | Not observed |
| SEP 10, 2026 | 169,932 | Not observed |
| SEP 9, 2026 | 166,748 | Not observed |
| SEP 8, 2026 | 161,405 | Not observed |
| SEP 7, 2026 | 163,388 | Not observed |
| SEP 6, 2026 | 165,987 | Not observed |
Facts from the registry
- Latest version
- v4.0.1
- 240 versions
- First published
- FEB 14, 2025
- Last release
- OCT 4, 2026
- 20d ago
- Licence
- MIT
Repository
Dependencies latest version · v4.0.1
Peer 1
- effect
^4.0.1
Related packages
- @effect/aiEffect modules for working with AI apisPublished from the same repository
- @effect/ai-amazon-bedrockEffect modules for working with Amazon Bedrock AI apisPublished from the same repository
- @effect/ai-googleEffect modules for working with AI apisPublished from the same repository
- @effect/ai-openaiAn OpenAI provider integration for Effect AI SDKPublished from the same repository
- @effect/ai-openai-compatAn OpenAI compat integration for EffectPublished from the same repository
- @effect/ai-openrouterAn OpenRouter provider integration for Effect AI SDKPublished from the same repository
- autogluon-coreFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-commonFast and Accurate ML in 3 Lines of CodeSame primary category
- pyglovePyGlove: A library for manipulating Python objects.Same primary category
- ttnnGeneral compute framework for Tenstorrent devicesSame primary category
- pyg-nightlyGraph Neural Network Library for PyTorchSame primary category
- rapid-peRapidPE: The original low-latency gravitational wave parameter estimation code.Same primary category
Related news
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