TanStack
TanStack is an open source, framework-agnostic collection of high-quality, headless, and type-safe utilities designed for modern web development, offering powerful capabilities in state management, data fetching, routing, UI logic, tables, data grids, charts, and reactive client-side storage. Its ecosystem includes core libraries such as TanStack Query for asynchronous server-state fetching and caching, TanStack Router for full-stack and client-side routing with full TypeScript inference and URL state support, and TanStack Table for headless, customizable tables and data grids across TS/JS frameworks. Additional tools, such as TanStack DB, extend the reactive store with live queries and optimistic mutations, while frameworks like TanStack Start provide a full-stack React experience, including SSR, streaming, server functions, and bundling, powered by its own router and Vite. Collectively, TanStack tools emphasize developer control, performance, scalability, and type safety.
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waiting
waiting is a small library for waiting for stuff to happen. It basically waits for a function to return True, in various modes. Waiting is compatible with flux for simulated timelines. The most basic usage is when you have a function you want to wait for. Waiting forever is very simple. If your predicate returns a value, it will be returned as the result of wait(). A timeout parameter can also be specified. When a timeout expires without the predicate being fulfilled, an exception is thrown. Sleeping polls the predicate at a certain interval (by default 1 second). The interval can be changed with the sleep_seconds argument. When waiting for multiple predicates, waiting provides two simple facilities to help aggregate them, any and all. They resemble Python’s built-in any() and all(), except that they don’t call a predicate once it has been satisfied (this is useful when the predicates are inefficient and take time to complete).
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virtualenvwrapper
virtualenvwrapper is a set of extensions to Ian Bicking’s virtualenv tool. The extensions include wrappers for creating and deleting virtual environments and otherwise managing your development workflow, making it easier to work on more than one project at a time without introducing conflicts in their dependencies. Organizes all of your virtual environments in one place. Wrappers for managing your virtual environments (create, delete, copy). Use a single command to switch between environments. Tab completion for commands that take a virtual environment as an argument. User-configurable hooks for all operations. Plugin system for creating more sharable extensions. The best way to explain the features virtualenvwrapper gives you is to show it in use. The workon command also includes tab completion for the environment names and invokes customization scripts as an environment is activated or deactivated.
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yarl
All URL parts, scheme, user, password, host, port, path, query, and fragment are accessible by properties. All URL manipulations produce a new URL object. Strings passed to constructor and modification methods are automatically encoded giving canonical representation as result. Regular properties are percent-decoded, use raw_ versions for getting encoded strings. Human-readable representation of URL is available as .human_repr(). PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install yarl on another operating system (like Alpine Linux, which is not manylinux-compliant because of the missing glibc and therefore, cannot be used with our wheels) the tarball will be used to compile the library from the source code. It requires a C compiler and Python headers installed. Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.
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