Search Packages

neotask

NeoTask | Python 轻量级异步任务调度库 · 零依赖 · 支持定时/优先级/重试 · SQLite/Redis 后端 · Celery 轻量替代方案。（Zero-dependency Python task queue for AI workflows. Schedule async jobs with priority, cron, retry. SQLite/Redis backend. Alternative to Celery for lightweight projects）

neogen

轻量级 Python 任务队列管理器，无需额外服务

econ-legalizer

econ-legalizer is a package that extracts structured summaries and insights from text input on regional economic and legal issues.

news-summizr

news-summizr extracts structured summaries from headlines, labeling key points like announcement, products, region for quick insight.

techsummly

A new package designed to facilitate structured and reliable interactions with language models for analyzing and summarizing technical discussions. Given a detailed description or excerpt of a technic

eventlytics-summarizer

A new package is designed to facilitate structured and reliable interactions with language models to generate concise summaries and extract key information from user-provided texts related to specific

open-spec-correct

A new package designed to streamline and automate the correction of imperfect OpenAPI specifications by analyzing user-provided textual descriptions and extracting structured insights. It processes te

summarix

A new package designed to process user-inputted text statements or stories and extract structured summaries or insights using a reliable language model with pattern matching and retries. It simplifies

summaryxtract

A new package is designed to facilitate structured, reliable extraction of key insights from user-provided texts about cultural topics. It accepts a text input, such as an article or discussion prompt

unix4summary

A new package designed to facilitate the extraction of structured summaries or key information from user inputs related to Unix Fourth Edition. It processes textual prompts about Unix concepts, comman

tech-discriptor

A new package designed to transform technical descriptions of hardware or software solutions into structured summaries and feature lists. It takes detailed textual inputs about various systems like Ro

thematic-structurizer

A new package would process user-provided text input related to historical or thematic content—such as summaries, descriptions, or analyses of topics like persuasion techniques from antiquity—and retu