Apps similar to Things include Super Productivity, which is free and open source. Other options are Notion, Trello, Todoist and TickTick. There's no shortage of Todo List Managers like Things, with more than 100 alternatives for the web, iPhone, Android, iPad and Mac.
Beat - is a simple, step-by-step project management. It helps you to focus on current task, with no mess or distraction. Chat with your team, comment and discuss every piece of your project, share files and create your own beat.
A checklist application written in java with reminders and system tray support to improve productivity.
wunderlistux - An electron wrapper for wunderlist made with :heart: for Linux (specially for elementary OS)
Task manager for browsers and iPhone that parses dates and repeat rules from plain-language entries without AI. Organize tasks in Inbox, Today, Upcoming, Someday, areas, and projects, then add notes, checklists, tags, files, reminders, or connect an API and MCP server.
Canada
MemoPad is software that comes with your Blackberry: it allows you to make notes, but not edit files.
B-liners simple and intuitive outlining environment enhances your ability to think, organize, analyze, manage, communicate and document.
MailToDoList lets you manage your Gmail inbox the way you manage a to-do list. It lets you move emails up and down, it lets you group and hide related emails, and it lets you add tasks and notes.
United States
This is a Free Online Multilingual To Do Tasks List where one can Type in either English or an Indian Native Language (like hindi). This is a very easy to use To Do List with Countdown Timer that is psychologically designed to make you succeed.
Bringli enables users to set up a list of things that are needed for social activities or events. This list can easily be shared via email or social networks to invite and involve participants. Invitees assign to things they want to bring or add items that are missing.
Take notes, share them, learn and work faster. MonoCorpus helps teams keep track of code and notes during the development of software and machine learning algorithms.
