ccfddl/ccf-deadlines

⏰ Agenticly track worldwide conference deadlines (Website, Python Cli, Wechat Applet)

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Summary Information

Updated 48 minutes ago
Added to GitGenius on September 7th, 2026
Created on February 1st, 2021
Open Issues & Pull Requests: 15 (+0)
GitHub issues: Enabled
Number of forks: 619
Total Stargazers: 9,291 (+0)
Total Subscribers: 24 (+0)

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Detailed Description

CCF-Deadlines is a collaborative platform for tracking academic conference deadlines worldwide, accessible through a website, Python CLI, WeChat applet, and multiple browser and calendar integrations.

The tool solves the problem of researchers manually searching for conference submission deadlines and converting between time zones. It aggregates deadline information for conferences across computer science domains including artificial intelligence, blockchain, data management, security, and software engineering. The platform maintains a curated database of conferences organized by category, with information contributed and updated through community pull requests. Users can access this data through multiple interfaces suited to different workflows: a web portal, a tabular view, command-line tools, calendar subscriptions, browser extensions, and desktop applications.

Researchers who regularly submit to academic conferences should adopt this tool to eliminate the overhead of deadline tracking and time zone conversion. It suits anyone working across multiple conferences or unfamiliar with conference schedules in their field. The project is particularly valuable for those who prefer integrated tools—the variety of access methods means you can check deadlines from your preferred environment, whether that is a web browser, terminal, calendar application, or system menu bar.

The project maintains active community engagement through pull request contributions for adding and updating conference information. Development activity shows consistent updates to the codebase alongside regular additions to the conference database. The tool is implemented in Rust for its core infrastructure while offering Python-based CLI extensions, indicating a focus on both performance and accessibility across different user preferences.