Install & Compatibility
Where this runs
tested against v1.0.35 · pip install
no network on importno background threads
Install × environment matrix
Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux
muslpy 3.10–3.95 runs
installs and imports cleanly · install 0.0s · import 0.036s · 18.3MB
glibcpy 3.10–3.95 runs
installs and imports cleanly · install 1.6s · import 0.036s · 19MB
16MB installed
● package 16MB
Code
Verified usage
Verified import paths — ran on the pinned version, not inferred.
T
✓ import tools as T
The documentation and examples frequently use 'T' as an alias for the 'tools' module for brevity and easy access to its functions.
save_pickle
✓ import tools as T
T.save_pickle(data, 'data.p')
✗ from tools import save_pickle
While direct import might work, the library's structure encourages importing the main 'tools' module and accessing functions via its alias (e.g., T.save_pickle). The most useful functions are loaded to the main module by default, but internal structure is `tools.tools` for some functions.
This quickstart demonstrates how to import the `tools` library using the common alias `T` and utilize basic functionality like pickling data. It also illustrates how to conceptually access API-dependent sub-modules, although their specific usage requires consulting the inline code documentation.
import tools as T
# Example: Save and load data using pickle
data_to_save = {'key': 'value', 'number': 123}
T.save_pickle(data_to_save, 'my_data.p')
loaded_data = T.load_pickle('my_data.p')
print(f"Loaded data: {loaded_data}")
# Example: Accessing API-dependent tools (conceptual, actual usage depends on specific sub-module)
# if hasattr(T, 'torch'):
# print('Torch tools are available')
# # e.g., T.torch.optim.SomeOptimizer()
Debug
Known issues
gotchaThe library is largely undocumented externally. Users are advised to inspect the source code directly or use Python's `help()` function for details on specific functions and modules.fixUse `help(tools.function_name)` or examine the GitHub repository for function signatures and inline comments.
affects: All versions
gotchaThe package name 'tools' is very generic, which might lead to naming conflicts or confusion with other utilities or standard library modules if not imported with an alias or carefully managed.fixAlways import with an alias, e.g., `import tools as T`, to clearly distinguish its functions.
affects: All versions
breakingThe project's GitHub README mentions that the `tools` package was replaced on 2025.04.28, implying potential breaking changes or a complete change in functionality for users expecting older 'web scraping tools'. This registry entry focuses on the current 'python syntax tool' version 1.0.26.fixVerify the installed version and refer to the GitHub repository for specific changes if migrating from an older 'tools' package, especially if it was related to web scraping. The current version (1.0.26) is a 'python syntax tool'.
affects: Potentially between versions before and after 2025.04.28
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Version history
1.0.35latest on PyPI · released Aug 28, 2026
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Dependencies
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